Free sample questions of 300-815 exam at killexams.com
All of us have been dedicated to providing up-to-date and valid Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) - CCNP examination questions and solutions, along with details. Each 300-815 Questions plus Answers on killexams.com has already been verified by Cisco specialists. We update plus add new 300-815 queries as soon as we observe that will there is a modification in real check. Which is important to our achievement and popularity.
Exam Code: 300-815 Practice exam 2023 by Killexams.com team 300-815 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) - CCNP 300-815 CLACCM Exam: Implementing Cisco Advanced Call Control and Mobility Services
The Implementing Cisco Advanced Call Control and Mobility Services v1.0 (CLACCM 300-815) exam is a 90-minute exam associated with the CCNP Collaboration and Cisco Certified Specialist - Collaboration Call Control & Mobility Implementation certifications. This exam tests a candidate's knowledge of advanced call control and mobility services, including signaling and media protocols, CME/SRST gateway technologies, Cisco Unified Board Element, call control and dial planning, Cisco Unified CM Call Control, and mobility. The course, Implementing Cisco Advanced Call Control and Mobility Services, helps candidates to prepare for this exam.
20% 1.0 Signaling and Media Protocols
1.1 Troubleshoot these elements of a SIP conversation
Reviews Cisco System's approach to implementing Oracle's Enterprise Resource Planning (ERP) software product. This case chronologically reviews the diverse, critical success factors and obstacles facing Cisco during its implementation. Cisco faced the need for information systems replacement based on its significant growth potential and its reliance on failing legacy systems. The discussion focuses on where management was particularly savvy in contrast to where it was the beneficiary of good fortune.
Sun, 31 Dec 2017 13:57:00 -0600entext/htmlhttps://www.hbs.edu/faculty/Pages/item.aspx?num=22966Killexams : Implementing RADIUS with Cisco LEAPNo result found, try new keyword!Another new addition is Cisco s proprietary offering (now being used by many third-party vendors), Lightweight Extensible Authentication Protocol (LEAP). LEAP is one of approximately 30 different ...Tue, 20 Feb 2018 21:27:00 -0600en-UStext/htmlhttps://www.globalspec.com/reference/47499/203279/implementing-radius-with-cisco-leapKillexams : How to Implement an Electronic Health Records System
Electronic health record (EHR) systems are essential for maximizing profits and delivering a modern standard of care to patients. However, the implementation phase is among the most arduous stages of the electronic medical record (EMR) adoption journey. This phase is where the most problems occur and where shortcuts could lead to catastrophic issues later on. Here’s how to make sure your medical practice avoids a crisis scenario when transitioning to a new EHR system.
Editor’s note: Looking for the right EMR system for your business? Fill out the below questionnaire to have our vendor partners contact you about your needs.
To successfully implement an EHR system in a timely manner, follow the steps below.
1. Plan your EHR implementation road map.
The first step of implementing an EHR system is to create a checklist of all the tasks that need to be completed. Carefully consider who — healthcare providers, managers, IT staff or patients — will need to complete which responsibility.
Critical tasks include stakeholder recruitment, budget planning, scheduling implementation, data transfer, training and live testing, and the establishment of go-live activities and metrics for success. Collaborative project management software, such as Google Sheets and Trello, can be especially helpful for developing a road map. Read our project management app reviews for additional product recommendations.
2. Define your budget.
The exact cost of EHR implementation will depend on both the chosen software’s features and the size of your organization. Hardware and network upgrades, vendor training and consultant fees, data backups and storage, and cost per employee can all affect your total expenses. Your budget will likely dictate the EHR solution you choose to implement. What can you realistically afford? [Read related article:How to Choose Medical Software]
You also should consider the initial loss in productivity that comes in the early stages of EHR implementation. Providers and staff will need dedicated time for training, which may come out of their patient care hours, and they may require additional time beyond that to further adjust to the new system. Once the platform is fully implemented, however, your organization will benefit from a more streamlined workflow and overall increased productivity.
3. Configure the EMR system.
Once you’ve determined a road map, identified your budget and purchased the software, the next step in setting up a new EHR solution is doing a system configuration, which is essential to accurately represent the details of your medical practice and your patients’ information within the software. That means programming the location(s) of your practice and the providers who will be using the platform.
You also need to design your practice’s clinical workflow, which includes the creation of clinical templates. Templates are required to meet Meaningful Use and Physician Quality Reporting System standards outlined by federal regulations. Following those rules is critical to ensure your practice does not incur Medicare payment penalties.
During the system-configuration phase, your EHR will be integrated with your practice management (PM) system if it’s not already. Also, any data stored within your old system will be migrated to the new one in this phase. You will need IT assistance for this.
“An important component of putting a complete PM and EHR system in place is conducting a data import from the legacy system to the new system,” Adam Siegel, a senior product manager at MedBridge, told Business News Daily. “A new software system will not automatically convert patients from one system to another. This is a complex process that must be facilitated by technical experts.”
4. Begin enrollment and credentialing.
Enrollment and credentialing, which detail how you are paid, depend partly on the responsiveness of the payers. At best, changing payer enrollment from one PM system to another will take a couple of weeks or, at worst, a few months. It’s imperative that you build enough time into the implementation process in case the enrollment-and-credentialing step takes longer than expected.
“Enrollment and credentialing is critical for accurate and consistent payment from insurance companies,” Siegel said. “The process can be drawn out depending on payer responsiveness and if the practice is represented as a group or individual providers.”
Getting this step right is crucial to ensuring smooth operations for your future revenue-cycle management, including the receipt of accurate, consistent and timely payments from insurance companies. Still, you won’t want it to push back your “go live” date, which would hinder your medical practice’s operations. Careful planning is vital. [Check outmedical billing and collection tipsfrom the pros.]
5. Optimize the workflow.
Outline each step of your organization’s current workflow. Then, ask the following questions:
Is it necessary?
Does it add value for the patient?
Is it being done in the right order and by the right person?
For certain processes done by a physician, ask the following questions:
Does this require a physician’s skills or training?
If not, can someone else complete this task?
By optimizing your workflows before EHR implementation, you can increase the likelihood of a smooth rollout and minimize inefficiencies in the use of the system.
EHR implementation encompasses more than getting your software up and running. It’s also about reorganizing your workflows so your new software can operate as efficiently as possible upon launch.
6. Train your team.
Even the best software is useless if staff aren’t trained on how to use it properly. Training will vary based on your practice’s specific workflows, the different roles of your staff members and their preferences for how to engage with the new system. There are several ways to bring your team up to speed, but the key is to begin training a short time before the new EHR solution goes online so staffers retain as much of the information as possible.
“Training is best done within a couple weeks of the go-live date,” Siegel said. “This ensures that new workflow and process will be fresh in the minds of the staff. … Staff interact with their [practice management] and EHR systems constantly, and it’s important that they adopt the new system and look for ways to use it as efficiently as possible.”
Training options include self-paced learning and on-site training. Self-paced distance learning, which is the most affordable and simplest method, involves memorizing user guides and watching instructional videos. On-site, instructor-led training is a comprehensive, in-person teaching program.
Of course, on-site training costs more, since a professional integrator must travel to your practice to teach your staff, but in-person training can provide your team with one-on-one time with an experienced instructor who knows the ins and outs of the new system. Siegel recommended less-robust training methods for smaller practices with fewer staff and on-site training for large practices or hospitals.
7. Troubleshoot the system and mitigate risk.
EHR software is complex and far-reaching, so be prepared to engage in troubleshooting and risk mitigation. As Siegel put it, “The implementation process as a core principle involves stopping revenue through one channel and restarting it through another.”
Naturally, this is a delicate and risky thing to do. Here are a few suggestions to protect yourself against some of the potential issues surrounding implementation:
Choose a system with a user-friendly interface. An EHR system can either streamline or hinder operations in your medical practice, depending on how you use it. To ensure your new solution has the desired effect, make sure the platform’s user interface is intuitive and simple to learn. This will help make the transition easier for your staff and increase the effectiveness of your system, without depressing productivity.
Include your staff in the decision-making process. The best way to determine how prepared your staff is to adapt to the new system is to include them in the decision-making process before you select a product. Do they find certain interfaces friendlier than others? What does their preferred workflow look like? What kind of training would they find most helpful? These questions can help you choose a system with your team in mind and make adoption of the new software much easier for them. Involving each department in your practice during the decision-making process provides invaluable insight for making a final purchase and gets long-term buy-in from your team members.
Integrate all software with your new PM/EHR system. “Many practices use additional software products to provide the full spectrum of solutions needed to run an efficient modern medical practice,” Siegel said. “This starts with integrating any additional systems with the new PM and EHR software. Products like appointment-reminder systems and interfaces with lab and imaging systems are critical to practice efficiency and shouldn’t be overlooked during the conversion process.”
Assess your practice honestly before implementation begins. Providing an honest and accurate assessment of your medical practice’s current finances, workflow and capabilities is a major part of executing a successful implementation. Through this assessment and the development of clearly stated goals, a practice’s administration can more effectively set and track metrics of success for the new system.
“A practice should have a clear understanding of how their complete practice will operate on the new system by the time they sign the contract and begin the implementation process,” Siegel said.
Once the software is configured and your team is trained, run through different online and offline workflows to see what issues, if any, arise. Take the time to troubleshoot and resolve those hiccups before your full rollout.
Sun, 13 Aug 2023 11:59:00 -0500entext/htmlhttps://www.businessnewsdaily.com/9102-implement-an-electronic-health-records-system.htmlKillexams : Micro transformation: Driving big business benefit through quick IT wins
Strategic micro transformations enable IT leaders to digitally evolve their organizations without disrupting business continuity, creating continuous cycles of improvement that deliver large-scale benefits with lower overhead and risk.
When it comes to IT projects, Daragh Mahon likes to think small. The CIO of transportation and logistics company Werner Enterprises has spent the bulk of his career doing full-blown transformation projects that often took two or three years to complete and ended up being a “massive, monolithic platform.” But by then, the business requirements had changed, “and frankly, it doesn’t work,’’ Mahon says.
So Mahon is driving digital transformation in a different direction, doing minimum viable products (MVPs), or micro transformations, which are pieces of a system that are digitized in small increments.
For example, IT started by moving the “least complex part” of its logistics platform, which sat on a legacy system, onto a modern platform, Mahon says. Over the course of time, IT did many more MVPs, migrating more complex pieces of the logistics system, and eventually moving the entire platform in an 18-month period.
SUBSCRIBE TO OUR NEWSLETTER
From our editors straight to your inbox
Get started by entering your email address below.
Micro transformations are a strategic approach to digital evolution, enabling IT leaders to innovate without disrupting business continuity. Typically quicker, micro transformations are more adaptable — and lower risk — than large-scale projects, helping organizations achieve tangible improvements faster. When done right, they emphasize what many organizations strive for: improving the customer/client experience.
And when performed strategically in succession as Mahon has done at Werner, such quick wins can lead to much larger business transformation over time — with less big-bang disruption and change management thanks to measurable proof of enhancement along the way.
Here’s how IT leaders are embracing a quick-win, cumulative approach to digital transformation.
Finding a cure for hospital readmissions
Dealing with limited financial and human resources as well as a need to increase patient engagement meant Chris Belmont needed to find a way for his IT organization to produce some quick wins a couple of years back when he was vice president and CIO of Memorial Hospital in Gulfport, Miss.
The hospital was grappling with how to effectively stay in touch with patients who had been discharged but might need a follow-up visit. “The traditional approach was we’d get lists and call them, but that’s not going to work 100% of the time,’’ explains Belmont, who left Memorial in February to become senior vice president and CIO of Ochsner Health in New Orleans. A new approach was needed that would produce “more shots on goal.”
“It wasn’t like we were in a big room and an executive said, ‘We want to move in this direction,’’’ he recalls. “It was more, ‘Let’s do this under the radar and prove out a couple of micro wins … and that will lead to more macro benefits.’ It gets contagious — you do one and it leads to others.”
IT worked with the hospital’s clinic operations group to build “EmmiJourneys,’’ a series of automated scripts that were a blend of engaging and educational content in the form of interactive voice response calls and multimedia videos targeting patients based on their needs. The program reminds patients about discharge care instructions as well as follow-up appointments.
The program has resulted in a 50% higher likelihood of former patients attending follow-up appointments within 21 days of discharge and 26% fewer avoidable emergency room visits, which results in lower costs, Belmont says.
From there, “the next thing you know, we’re using the same methodology and approach in other departments and scaling up and out,’’ he says.
IT worked with solutions provider Wolters Kluwer to build EmmiJourneys, which Belmont describes as coming to fruition with “a little bit of begging for permission … versus talking through a large decision-making process.”
Belmont says IT will do more micro transformations as well as macro initiatives. “We want to move more toward value-based care, and we can do that with both larger and quick-hit projects like [EmmiJourneys] with relatively low overhead costs and risk,’’ he says.
Now at Ochsner, Belmont is about to embark on a micro-transformation project that involves deploying an ambient listening platform that records information from a clinic visit and produces a high-quality note. Eventually, IT will integrate the system with Ochsner’s Epic electronic medical record platform. Belmont introduced ambient listening at Memorial, where it was a challenge keeping human scribes, and started with 100 doctors instead of “a big bang” rollout.
It behooves IT to engage with the user community and understand their business “and not wait for them to call you and ask for solutions,’’ he says, but rather, look for “small, quick, short wins that have an immediate impact that can scale.”
The value of doing something small is the ability to learn from one use case, make any necessary tweaks, and see where else it can be applied. “We still do a lot of big things, but if we can fill in gaps and get some wins along the way … it’s a great enabler.” Too often, Belmont says, IT tends to think about products and shiny objects more so than outcomes.
Connecting and consolidating siloed systems
Even in a massive university system, small changes can reap great value. Technical College System of Georgia, which comprises 22 colleges and 88 campuses, and serves 350,000 individuals, needed to modernize systems to adapt to customer expectations, says Steven Ferguson, CIO.
The way people want to interact with the college system has changed drastically since the pandemic. Now, they expect to have 24/7 virtual interaction and just-in-time services, Ferguson says. “If someone live is not available … they wanted an intelligent chat service to answer questions,” as well as flexibility in offerings, he says. That means if a class can be online, students want that option.
So IT did a micro transformation dubbed “eCampus,” leveraging the existing framework for online education via a shared services model. That meant sharing faculty and course capacity among the various colleges.
“It’s a large change but a small thing that happened,’’ he notes. Because faculty was already teaching online at one campus, it was mainly a shift in mindset and saying, “We’ve got faculty, let’s make them available across the state, and a shift in technology from one to many.”
IT ran a pilot in 2021 with one instructor. On the back end, that required “some plumbing” using Cisco Webex to broadcast the faculty member across a larger footprint. Whereas a macro transformation would be to repeat the same process 22 times, “the micro transformation was flip that one-to-many switch,’’ Ferguson says.
Despite being a university system that works together and looks similar, “there’s really 22 silos and everyone has their own learning management systems and tools and their own databases,’’ Ferguson says.
The shift required taking data systems, connecting and standardizing them, normalizing the data, and then aggregating the data back to a common database IT could pull from. This “ultimately allowed us to make this seamless for both faculty and students,” he says.
Today, IT has built out the eCampus transformation program in all 22 colleges across 300 courses. Switching to a one-to-many model has enabled innovation to continue at a steady pace, Ferguson says. Although nationwide, enrollment in two-year colleges is declining, eCampus and a related portfolio have contributed to greater than 3% enrollment growth over the last academic year in their institutions, he says.
“So when everyone’s losing [enrollment], we’re growing as a system,” he says.
A more pampering app for pet parents
As with most organizations, at MetLife, the impetus for any transformation — no matter the size — is always the customer, says Bill Pappas, executive vice president and head of MetLife’s Global Technology and Operations (GTO) organization. The most accurate micro transformation GTO conducted this year was the launch of the company’s enhanced pet wellness app, which offers a set of resources in real-time with the goal of creating a better experience for insured pet parents. It was a cross-functional effort between GTO team members and MetLife’s pet insurance team, Pappas says.
Users can now manage pet insurance by securely viewing policies, chatting live with customer service, editing pet profiles, and submitting and tracking claims. Among the other new features, they can also access live a 24/7 vet chat to quickly get answers and tips from licensed vets without having to schedule a visit.
Pappas says they stayed ahead of any cross-functional digital transformation challenges “through intentional, consistent communication cross-functionally on the various stages of development. We also worked to ensure the right teams within GTO and the business were engaged to ensure a seamless and secure app experience for our customers.”
Since its launch in March, usage of the enhanced app has increased from a few thousand average monthly users to more than 35,000, according to Pappas. Additionally, the percentage of submitted MetLife Pet Insurance claims increased from under 30% to nearly 50%, he says.
In terms of whether he will lead other micro transformations, Pappas says, “We will continue to innovate in a way that’s intuitive to our customers.”
Micro transformations should not be done for the sake of innovating, he says. “We don’t chase the shiny new toy — we innovate based on customer wants and needs. No project is too small, and it’s important to make sure that the transformations you lead — no matter their size — add value to your customers and employees in a way that’s intuitive and secure.”
CIOs should also make sure they’re creating an environment for ongoing enhancements and improvements led by data-driven insights gathered through continuous listening models, Pappas says. “This will help to ensure that CIOs sustain an agile tech organization with the ability to adapt to the changing needs and growing expectations of their customer and employee base.’’
Casting a brighter light
At Custom Neon, a global manufacturer and retailer of custom-designed LED neon lights and signs, there was no lightbulb moment for CTO and co-owner Matt Aird to do a micro transformation. Spurring growth and innovation and racking up quick IT wins is how the company approaches projects, Aird says.
“It’s not about seismic shifts overnight but implementing small, targeted changes that progressively enhance the overall business operation and customer experience,’’ he says.
One such micro transformation was the overhauling of the website’s neon sign customization tool, a core part of its business. This shift was not monumental in scale but was transformative in its impact on the customer journey, Aird notes.
“We had a vision of a tool that was not just functional but enjoyable and intuitive to use,’’ he says. “The overhaul involved adopting a more modern, clean look, and making sure the process of customers designing their own signs was as user-friendly as possible. It was important to us to take away any guesswork and provide real-time visual feedback as customers design their neon signs, blending creativity with technology.”
While it’s still early days to determine the success of the micro transformation, the initial customer feedback has been encouraging, Aird says. “There’s something intrinsically rewarding when you hear directly from customers about how much they’re enjoying the new tool, how it’s adding value to their purchasing experience, and how it makes the process of creating their own neon signs easier and more fun and exciting.”
This is critical because Custom Neon operates in a “highly saturated e-commerce niche,’’ he adds, and micro transformations such as upgrading the website tool “subtly, but surely redefine the customer experience, contributing to our continued growth and competitiveness.”
This kind of micro transformation underscores the power of agile methodology, enabling IT to identify bottlenecks, implement targeted improvements, and quickly see the effects, Aird says. “Moreover, they allow us to enhance our KPIs, notably in customer satisfaction and operational efficiency.”
For micro transformations to deliver quick-hit wins, however, all the IT leaders agree they must be guided by the organization’s overarching strategy and goals. “For us, that means every small change we implement aims to bring us closer to our mission of delivering superior quality custom neon signs with exceptional customer experience,’’ Aird says.
When starting a micro transformation, identify those small but significant changes that can bring about immediate improvements, provide quick wins, and enhance the customer experience, Aird advises. “Doing this, you’ll create a continuous cycle of improvement that keeps your company agile, responsive, and primed for success … When looking to include micro transformations in your IT strategy and workflow, your mantra should be, ‘Think big, start small, and move fast.’”
Sun, 13 Aug 2023 22:01:00 -0500en-UStext/htmlhttps://www.cio.com/article/649077/micro-transformation-driving-big-business-benefit-through-quick-it-wins.htmlKillexams : Microsoft Copilot Cheat Sheet: Complete Guide for 2023
The practical application of generative artificial intelligence has gone from an abstract, future concept to a concrete reality in a matter of mere months. Businesses and organizations large and small are scrambling to figure out if and how AI can help their people be more productive and efficient. For organizations using Microsoft software, the application of AI in a business environment is being led by the Microsoft Copilot platform.
Businesses at the enterprise level are also looking for ways AI can leverage the massive amounts of data generated daily by their organizations in increasingly productive ways. Many believe that such a massive undertaking can only be accomplished by a competent AI platform. Microsoft Copilot, with its integration into Microsoft 365, Azure, Windows and enterprise-wide data streams, is purported to be the AI that unlocks the creative and productive potential of an organization’s people and data.
What is Microsoft Copilot?
Microsoft Copilot is a new AI product that combines the power of large language models with in-house enterprise data generated by the Microsoft Graph and Microsoft 365 applications. Using the power of AI and natural language conversations, users can find better answers to their questions and potentially create content from those answers. Copilot was developed on the ChatGPT platform and announced as an in-development platform at the July 2023 Microsoft Inspire conference.
There are two versions of Copilot: Microsoft 365 Copilot and a more general Microsoft Copilot. It is important to note that Microsoft 365 Copilot is different from the consumer and small business-oriented Copilot platform found in Bing Chat or non-enterprise versions of Microsoft 365. These Copilot LLMs are trained on more generalized aggregate data gathered across the internet and therefore tend to have more generalized results. Microsoft 365 Copilot will be dependent on the data generated by a specific, and only a specific, enterprise.
Microsoft 365 Copilot will be dependent on in-house, enterprise-generated data, while the more general Microsoft Copilot will use aggregate data pulled from the internet.
Both Copilot versions will be embedded in the Microsoft 365 apps including Word, Excel, PowerPoint, Outlook and Teams. This complete Microsoft 365 integration will allow an organization’s workers to be more creative and unlock productivity gains and potentially Improve their skills. In addition, Microsoft 365 Copilot will add AI-enabled Business Chat to the productivity suite, which will work across enterprise-specific data like calendars, emails, chats, documents, meetings and contacts to help employees communicate easier and better.
What are business benefits to using Microsoft Copilot?
Assuming Microsoft Copilot works as advertised, an employee could jump-start a project (e.g., email, presentation, report, data visualization) with an AI-generated first draft. With that foundation, the employee can quickly move on to refining and iterating a second draft and then a final draft, cutting at least one step from the process. This should make the employee more efficient and productive, and it could allow for the development of new skills.
For Microsoft 365 Copilot, the key to these productivity gains will be the application of enterprise-specific data to the new project from the start. Using data internally generated by the enterprise from emails, documents, calendars, contacts and so on, presumably the project will be jump-started with limited, and more importantly, pertinent assets.
For example, if an enterprise employee at Ford is creating a presentation that needs to show movement, the AI – if properly trained – should use a Ford-related product rather than a similar product from one of its competitors. An AI trained by data culled from the internet may come to a different conclusion and defeat the purpose of deploying enterprise-specific generative AI.
How does Microsoft plan to integrate Copilot into its applications?
Copilot will be integrated into the fabric of all Microsoft 365 applications. When an employee starts a Word document, reads an email in Outlook, opens an Excel report or updates a PowerPoint presentation, Copilot and its generative AI abilities will be there to assist when called upon.
The specifics of how each Microsoft 365 application will use Copilot are still in development, and many use cases will likely only be discovered when users can actually use the platform. However, Microsoft has outlined some of its basic ideas for Copilot in a business environment.
Below are examples of commands a user might provide Microsoft Copilot.
Copilot in Word
Draft a two-page project proposal based on data gleaned from a Word document (i.e., either the one you are currently working on or one that you specify by name) and an Excel worksheet.
Make the third paragraph in the current document more concise and change the tone of the document to be more casual.
Create a one-page draft based on this rough outline.
Copilot in Excel
Break down this sales data by type and channel and then insert a table.
Project the impact of a variable change in this data and then generate a chart to help visualize it.
Model how a change to the growth rate for a variable would impact my gross margin.
Copilot in PowerPoint
Create a five-slide presentation based on this Word document and include relevant stock photos.
Consolidate this presentation into a three-slide summary.
Reformat these three bullets (in a specific PowerPoint presentation) into three columns, each with a picture.
Copilot in Outlook
Summarize the emails missed while out of the office last week and flag any important items.
Draft a response thanking the senders of an email and asking for more details about their second and third points.
Shorten a draft email and make the tone more professional.
Invite everyone to a lunch-and-learn about new product launches next Thursday at noon. Mention that lunch is provided.
Copilot in Business Chat
Summarize the chats, emails and documents about the syllabu being discussed.
What is the next milestone for a project? What risks were identified? Brainstorm a list of potential mitigations.
Write a new planning overview in the style of this (specified existing) document that contains the planning timeline from a different document and incorporate the project list in the email from this person (specifying a user’s name).
What are potential problems and caveats with Microsoft Copilot?
All AI platforms are only as good as their training; if Microsoft Copilot is modeled after data that is incomplete, biased, wrong or otherwise corrupt, the suggestions it generates, regardless of who is asking, will be incomplete, biased, wrong or otherwise corrupt. The old adage of garbage in equals garbage out still applies.
For Microsoft 365 Copilot, training will be particularly important because all the data used for that Copilot AI platform will be internally generated and gathered. Enterprises looking to properly apply AI will have to carefully monitor the data Copilot can access. For example, a business may not want brainstorming documents and meeting notes to be part of the data stream; rejected ideas may taint the data stream and propagate throughout the organization.
For general versions of Microsoft Copilot, organizations and users will have to be aware that inherent biases, fads, misguided trends and other transitory events will likely color some of the AI-generated output. Not every passing fancy on the internet should make its way into official organizational documents.
In addition to this potential problem, especially for Microsoft 365 Copilot implementations, is the tendency of some departments to silo their data behind firewalls. New products and services developing under non-disclosure agreements, for example, will often be cut off from the normal organizational data stream. Businesses will have to decide whether hiding data from the AI in such cases is more beneficial than allowing AI access.
The most important caveat for Microsoft Copilot is the platform is still in development. The use cases outlined by Microsoft at the 2023 Inspire conference are the company’s visions of how the platform will work. Once Copilot is released to the public, what the AI platform is capable of, good or bad, will be revealed. Until then, we will be dealing with potential and perhaps some wishful marketing.
What are the alternatives to Microsoft Copilot?
Generative AI is arguably the hottest trend in technology innovation for 2023, so it stands to reason there are many new and in-development AI platforms ready to compete with Microsoft Copilot.
Even though Copilot is based on ChatGPT, the AI chatbot is available as a standalone platform and therefore should be considered a competitor. AI is already incorporated into Microsoft Edge in the form of Bing Chat, and an AI has recently been released for the Google search engine and Chrome. Technology experts have reported that Apple is developing its own AI platform. It seems that AI will be integrated into just about every digital application we use on a computing device.
Major tech companies including Salesforce, Oracle and Adobe are all working on AI platforms. There are also dozens of smaller independent developers working on their own versions of an AI platform. Plus, there are a multitude of AI competitors working on specialized platforms that will bind LLMs and generative AI principles to specific applications. Businesses will likely spend a lot of time wading through AI platform possibilities.
How much does Microsoft Copilot cost?
As revealed during the 2023 Inspire conference, Microsoft 365 Copilot will cost $30/user/month. At first glance, this price point seems expensive, but it is vital to remember this version of the platform is designed for large business enterprises. For a large enterprise with thousands of employees, and assuming the platform delivers what Microsoft promises, that $30 could end up being a bargain. That is a big assumption to make at this early point in development.
The consumer and SMB versions of Microsoft Copilot will likely be priced lower than the enterprise counterpart. Bing Chat, which is also based on ChatGPT, is available now and for free as an integral part of Microsoft Edge. It is also likely that some features restricted or otherwise modified version of Copilot will be available for SMBs too small to have meaningful in-house generated data available to train the AI platform.
The pricing for all the versions of Microsoft Copilot is likely to change as development of the platform continues. With the large number of competitors in the AI platform space, it seems almost certain the cost of these services will change significantly.
Which businesses should consider Microsoft Copilot, and which should not?
At $30/user/month, only certain large enterprises will be able to afford large numbers of employees subscribing to the Microsoft 365 Copilot platform. In addition to the subscription fee, such employers will also have to account for the extra expenses associated with generating, collecting and collating accurate and useful data for the AI and LLMs to train on. This is a major undertaking, and the decision to implement the Copilot platform will take a significant commitment.
Large enterprises will have to decide whether the productivity benefits of using the Microsoft 365 Copilot platform outweigh the initial costs of developing and maintaining the platform – and then paying for it indefinitely.
For individuals and small businesses with little to no LLM-ready data, the consumer level versions of Microsoft Copilot is available for free. Bing Chat is already available in Microsoft Edge for everyone. Some form of low-cost or no-cost version of Copilot will likely be available for certain versions of Microsoft 365.
Only time will tell if the generative AI capabilities of Copilot are worth the time necessary to use them.
When will Microsoft Copilot be available?
As of August 2023, Microsoft Copilot is in the testing phase of development. A limited number of organizations and Microsoft Insiders are testing the AI and providing feedback on what works and what does not work.
There is currently no officially announced release date for any version of Microsoft Copilot.
Tue, 22 Aug 2023 17:28:00 -0500en-UStext/htmlhttps://www.techrepublic.com/article/microsoft-copilot-cheat-sheet/Killexams : Maui and Using New Tech To Prevent and Mitigate Future Disasters
Because of climate change, we are experiencing far more natural disasters than ever before in my lifetime. Yet we still seem to be acting as if each disaster is a unique and surprising event rather than recognizing the trend and creating adequate ways to mitigate or prevent disasters like we just saw in Hawaii.
From how we approach a disaster to the tools we could use but are not using to prevent or reduce the impact, we could better assure ourselves that the massive damage incurred won’t happen again. Still, we continually fail to apply what we know to the problem.
How can we Improve our approach to dealing with disasters like the accurate Maui fire? Let’s explore some potential solutions this week. Then we’ll close with my Product of the Week, a new all-in-one desktop PC from HP that could be perfect for anyone who wants an easy-to-set-up-and-use desktop computing solution.
Blame vs. Analysis
The response to a disaster recovery should follow a process where you first rescue and save the living and then analyze what happened. From that, you develop and implement a plan to make sure it never happens again. As a result of that last phase, you remove people from jobs they have proven unable to do, but not necessarily those that were in key positions when the disaster happened.
Instead, we tend to jump to blame almost immediately, which makes the analysis of the cause of a disaster very difficult because people don’t like to be blamed for things, especially when they couldn’t have done anything differently.
Generative AI could help a great deal by driving a process that focuses on the aspects of mitigating the problem that would have the most significant impact on saving lives both initially and long-term rather than focusing on holding people accountable.
Other than restrictions this puts on analyzing the problem, focusing on blame often stops the process once people are indicted or fired as if the job is done. But we still must address the endemic causes of the issue. Someone who has been through this before is probably better able to prioritize action should the problem arise again. So, firing the person in charge with this experience could be counterproductive.
Generative AI, acting as a dynamic policy — one that could morph to address a wide range of disaster variants best — could provide directions as to where to focus first, help analyze the findings, and, if properly trained, recommend both an unbiased path of action and a process to assure the same thing didn’t happen again.
One of the problems with disasters is that those working to mitigate them tend to be under-resourced. When disaster mitigation teams devise a plan, they often face rejection due to the government’s unwillingness to pay for the implementation costs.
Had the power company in Hawaii been told that if they didn’t bury the power lines or at least power them down, they’d go out of business, one of those two things would have happened. But they didn’t because they didn’t do risk/reward analysis well.
All of this is easy for me to say in hindsight. Still, with tools like Nvidia’s Omniverse, you can create highly accurate and predictive simulations which can visibly show, as if you were in the event, what would happen in a disaster if something was or were not done.
Is Hawaii likely to have a high-wind event? Yes, because it’s in a hurricane path and has a history of high wind events. So, it would make sense to run simulations on wind, water, and tsunami events to determine likely ways to prevent extreme damage.
The answer could be something as simple as powering down the grid during a wind event or moving the electrical wiring underground if powering down the grid was too disruptive.
In addition, you can model evacuation routes. We know that if too many people are on the road at once, you get gridlock, making it difficult for anyone to escape. You must phase the evacuation to get the most people out of an area and prioritize getting out those closest to the event’s epicenter first.
But as is often the case, those farthest from the event have the least traffic, and those closest are likely unable to escape, which is clearly a broken process.
Through simulation and AI-driven communications, you should be able to phase an evacuation more effectively and ensure the maximum number of people are made safe.
Another significant issue when managing disasters is communications.
While Cisco typically rolls trucks into disaster areas to restore communications as part of the company’s sustainability efforts, it can take days to weeks to get the trucks to a disaster, making it critical that the government has an emergency communication platform that will operate if cell towers are down or have hardened the cell towers, so they don’t go down.
Interestingly, during 9/11, all communication was disrupted in New York City because there was a massive communications hub under the towers that failed when they collapsed. What saved the day was BlackBerry’s two-way pager network that remained up and working. In our collective brilliance, instead of institutionalizing the network that stayed up, we discontinued it and now don’t have a network that will survive the disasters we see worldwide.
It’s worth noting that BlackBerry’s AtHoc solution for critical event management would have been a huge help in the response to this latest disaster on Maui.
Again, simulation can showcase the benefits of such a network and re-establishing a more robust communications network that will survive an emergency since most people no longer have AM radios, which used to be a reliable way to get information in a disaster.
Finally, autonomous cars will eventually form a mesh network that could potentially survive a disaster. Using centralized control, they could be automatically routed out of danger areas using the fastest and safest routes determined by an AI.
We usually rebuild after a disaster, but we tend to build the same types of structures that failed us before, which makes no sense. The exception was after the great San Francisco earthquake in 1906, which was the impetus for regulations to Improve structures to withstand strong quakes.
In a fire area, we should rebuild houses with materials that could survive a firestorm. You can build fire-resistant homes using metal, insulation, water sprinklers, and a water source like a pool or large water tank. It would also be wise to use something like European Rolling Shutters to protect windows so that you could better shelter in place rather than having to evacuate and maybe getting caught on the road by the fire.
With insurance companies now abandoning areas that are likely to be at high risk, this building method will do a better job of assuring people don’t lose most or all of their belongings, family, or pets.
Again, simulation can showcase how well a particular house design could survive a disaster. In terms of rebuilding on Maui, 3D-printed houses go up in a fraction of the time and are, depending on the material used, more resistant to fire and other natural disasters.
One of the issues with floods and fires is the need to move large volumes of water quickly. While the scale of the vehicle needed to deal with floods may be unachievable near-term, carrying enough water to douse a fire quickly that was still relatively small is not.
We’ve been talking about bringing back blimps and dirigibles to move large objects for some time. Why not use them to carry water to fires rapidly? We could use AI technology to automate them so that if the aircraft has an accident, it doesn’t kill the crew. AI can, with the proper sensor suite, see through smoke and navigate more safely in tight areas, and it can act more rapidly than a human crew.
Much like we went to extreme measures to develop the atomic bomb to end a war, we are at war with our environment yet haven’t been able to work up the same level of effort to create weapons to fight the growing number of natural disasters.
We could, for instance, create unique bombers to drop self-deploying lightning rods in areas that are hard to reach to reduce the number of fires started by lightning strikes. The estimate I’ve seen suggests you’d need 400 lightning rods per square mile to do this, but you could initially just focus on areas that are difficult to reach.
You could use robotic equipment and drones to place the lightning rods on trees or drop them from bombers to reduce the roughly $100-per-rod purchase and installation cost at volume.
Wrapping Up: The Real Problem
The real problem is that we aren’t taking these disasters seriously enough to prevent them. We seem to treat each disaster as a unique and non-recurring event even though in areas like where I live, they are almost monthly now.
Once a disaster occurs, we have the option of either moving to a safer location or rebuilding using technology that will prevent our home from being destroyed. Currently, most of us do neither and then complain about how unfair it is that we’ve had to experience that disaster again.
Given how iffy insurance companies are becoming about these disasters, I’m also beginning to think that spending more money on hardening and less on insurance might result in a better outcome.
While AI could contribute here, developers haven’t yet trained it on questions like this. Maybe it should be. That way, we could ask our AI what the best path forward would be, and its answer wouldn’t rely on the vendors to which it’s tied, political talking points, or other biased sources. Instead, it would base its response on what would protect us, our loved ones, and our assets. Wouldn’t that be nice?
I liked the Apple because it was incredibly flexible in terms of where you could move the screen, and the IBM because, unlike most all-in-ones, you could upgrade it. Sadly, both were effectively out of the market by the early 2000s.
Since then, the market has gravitated mainly toward the current generation iMac, where you have the intelligence behind the screen, creating a high center of gravity and a lower build cost. In my opinion, this design creates a significant tip-over risk if the base is too light — as it is in the current iMac.
The HP EliteOne 870 G9 has a wide, heavy base which should prevent it from toppling if bumped, Bang and Olufsen sound (which filled up my test room nicely), a 12th Gen Intel processor, 256GB SSD, 8GB of memory, and an awesome 27-inch panel.
Unlike earlier designs, it has a decent built-in camera that doesn’t hide behind the monitor. In practice, I think this is a better solution because it’s less likely to break.
The HP EliteOne 870 G9 27-inch All-in-One PC is a versatile desktop solution. (Image Credit: HP)
As with most all-in-ones, the 870 G9 uses integrated Intel graphics, so it isn’t a gaming machine. Still, it’s suitable for those who might do light gaming and mostly productivity work, web browsing, and videos. The game I play most often ran fine on it, but it is an older title.
The screen is a very nice 250 nit (good for indoors only), FHD, and IPS display. Also, as with most desktop PCs, the mouse and keyboard are cheap, but most of us use aftermarket mice and keyboards anyway, so that shouldn’t be a problem. The base configuration costs around $1,140, which is reasonable for a 27-inch all-in-one.
A fingerprint reader is optional, but I found Microsoft Hello worked just fine with the camera, and I like it better. The installation consists of two screws to secure the monitor arm to the base, and then the monitor/PC just snaps onto the arm. This all-in-one is a vPro machine which means it will comply with most corporate policies. At 24 pounds, it is easy to move from room to room, but no one will mistake this for a truly mobile computer.
The PC has a decent port-out with 2 USB type Cs, 5 USB type As, and a unique HDMI-in port in case you want to connect a set-top box, game system, or other video source and use it as a TV, so it is a decent option for a small apartment, dorm, or kitchen where a TV/PC might be useful.
Clean design, adequate performance, and truly awesome sound make the HP EliteOne 870 G9 a terrific all-in-one PC — and my Product of the Week.
The opinions expressed in this article are those of the author and do not necessarily reflect the views of ECT News Network.
Tue, 22 Aug 2023 03:42:00 -0500en-UStext/htmlhttps://www.technewsworld.com/story/maui-and-using-new-tech-to-prevent-and-mitigate-future-disasters-178550.htmlKillexams : The Best Video Conferencing Equipment in 2023
Effective communication within your team, wherever they are working from, is vital to the success of your company. Video conferencing has become the go-to means by which to do so in the business world. That's never been more true than today, when remote work is now commonplace following the pandemic.
Video conferencing software can help facilitate this communication, but for those employees who are still working in your physical office location, communicating with those who aren't, finding the best video conferencing equipment is just as important for keeping your team connected, loud and clear. It'll be like they're all in the room after all.
Top 10 Video Conferencing Equipment
Stay connected with your team, wherever they are
Whether you need an advanced system or just streamlined software, get accurate price quotes tailored for your business.
1. Poly Studio X70
Formerly called Polycom, Poly is one of the most popular video conferencing equipment businesses in the world, and for good reason. As the largest pure-play collaboration company with dozens of years of experience under its belt, you can understand why its video conferencing options are so highly sought after. In fact, the Poly Studio lineup is a go-to solution for many businesses around the world, and the Poly Studio X70 is one of the best available.
For starters, the Poly Studio X70 is equipped with dual 4K lens, a 70-degree narrow lens and a 120-degree wide angle lens, so you can get the whole conference room in the picture if need be. You'll also get two-way stereo speakers and advanced bass ports, making the sound quality as good as it gets. On top of that, you'll get a wide range of helpful features, including:
Built-in video conferencing apps, including Zoom, Google Meet, BlueJeans, Microsoft Teams, GoTo Meeting, and RingCentral.
Poly DirectorAI, a smart camera feature that allows for people and group framing in real-time for a more immersive experience.
NoiseBlockAI, which effectively cancels background noises for a clearer audio meeting.
Poly Lens, a troubleshooting platform built into the device to help your IT team address problems quickly and effectively.
The Poly Studio X70, as you can likely guess from the price, a heavy-duty solution for businesses that really want to take their video conferencing functionality to the next level. If the price is a bit too much, though, there are plenty of more affordable options on this list.
Built-in operability with popular video conferencing software
Dual 4K cameras including wide angle lens
AI-powered smart camera features
If your team is in any way hybrid at this point, your video conferencing equipment is going to have a noticeable impact on everything from productivity to company culture – so choosing the right gear is extremely important.
Conor CawleyTech.co's video conferencing expert
2. Cisco Desk Pro
As one of the most recognizable companies in the world, it's safe to say Cisco is a good call when it comes to finding the best video conferencing equipment. Plus, as one of the few brands on this list with its own video conferencing software, Webex, you can expect seamless performance from its hardware and software.
Cisco Desk Pro comes with a 4K 27-inch screen and mounted cameras for easy communication. It is specifically built as an all-in-one desktop collaboration hub with video and audio, which could even replace your current phone setup. Take advantage of features like:
Included stylus for easy whiteboarding
Wide angle lens for meetings with multiple people
USB-C ports to connect to all your devices
AI-powered meeting features for easy conferencing experience
As far as individual video conferencing equipment goes, the Cisco Desk Pro takes the cake. You can't beat the ease with which meetings and collaboration take place on this device– but again, the price is going to be indicative of these amazing features (particularly for individuals). That said, if you're looking for seamless communication between individual team members, you can't go wrong.
Hardware and software compatibly with Webex service
With more than 120,000 customers worldwide and 144 million users relying on its solutions, you can bet Avaya is a reliable brand when it comes to video conferencing equipment. Its long history of developing high quality video and audio conferencing equipment means it's had plenty of time to get it right – and the Avaya XT5000 Room System, its flagship video conferencing device, is evidence of that.
The XT5000 Room System provides dual 1080p 60fps live video and content sharing capabilities, making collaboration easier than ever. Choose from five available cameras and two available microphones, as well as a range of other features, including:
Embedded nine-way multi-party calling
Codec and camera wall mount for easy installation
Compatibility with Microsoft Exchange email and calendar server
The Avaya XT5000 Room System is perfect for big companies with multiple teams that need to collaborate thoroughly on a wide range of projects. The two screens alone provide a unique interface that makes it easy for everyone to get their point across. Plus, with nine-way multi-party calling, you can have meetings with several teams at once so that everyone is on the same page. The price is admittedly up there, but it can be worth it for this kind of collaboration.
Simple sharing with dual screen capabilities
Crystal clear picture and impressive audio
Easy-to-use interface for any meeting participant
Complicated setup beyond camera and codec mounting
4. Lifesize 4K Icon 700
Lifesize is one of a handful of brands on the list that also operates its own video conferencing software, which easily makes it a contender for best video conferencing equipment. Its simple service pairs perfectly with its sleek, stylish cameras, particularly because the brand offers so many options. You'll easily be able to find something that fits your needs.
The Icon 700 comes with a Lifesize Phone HD, which makes every meeting room – large or small – into a collaboration hub. You'll also enjoy 4K video quality, ultra high definition content sharing, and a powerful zoom function. Other features include:
Noise reduction, powered by Opus audio
Dual display support for easy sharing
Simple touch controls with Lifesize Phone HD
Clear and simple zooming capabilities
Lifesize video conferencing equipment is also going to run you a pretty penny, but it's more than worth it if your budget can take the hit. These cameras are easy to set up and come with Lifesize's popular video conferencing software, so you can't really go wrong.
Hardware and software compatibility with Lifesize Cloud
Lots of options with 4K compatibility
20x zoom capabilities
5. Logitech MeetUp
Based in Switzerland, Logitech doesn't exclusively focus on conferencing solutions; its range is a bit broader, which can be a good thing when it comes to your communication needs. Its extensive experience leads to quality, well-developed products, particularly when you take a look at the Logitech MeetUp.
This compact all-in-one camera is perfect for small rooms and huddle meetings, as everyone can easily get in the frame thanks to the wide-angle lens. You'll also enjoy 4K resolution and 5x zoom capabilities, so you won't miss anything in the meeting. Other features include:
Automatic framing with RightSense technology
Certified compatibility with Google Workspace, Microsoft 365, and Zoom
Interoperability with BlueJeans, Broadsoft, Lifesize Cloud, Vidyo, Fuze and Zoom
Free remote app so anyone can access the camera functionality
The price of the MeetUp, however, could easily turn some people off – it's a bit much without a lot of hardware, particularly with a TV mount running you nearly $100. Also, the limited collaboration options can be a turn-off if you're looking to utilize visual aids in presentations. Still, if you're looking for a wide angled camera with limited features, it's a great option.
Wide angle camera perfect for small rooms
4K resolution and 5x zoom capabilities
Vast interoperability across multiple softwares
Limited collaboration features
6. Poly Studio P15
We've already seen Polycom on this list, so you know you can trust the kinds of devices they put out. If you aren't looking for a more affordable option than other heavy-duty solutions on this list, the Poly Studio P15 doesn't skimp on features while offering a reasonable price for budget-conscious businesses.
The Poly Studio P15 is equipped with a single 4K lens for clear video and acoustic suspension with a passive radiator for high quality sound. Plus, the advanced multi-microphone system makes sure that your colleague doesn't miss out on what you're saying during meetings. Other features include:
Automatic camera framing to always keep you in the picture
Simple USB setup for extremely easy use
Certified for Zoom and Microsoft Teams functionality
Smaller design can fit on most laptops
Arguably the most important aspect of the Poly Studio P15, at least in the context of this list, is the price. At just under $300, the P15 is the most affordable option on the list. Still, it's worth noting that it's considered more of a personal video conferencing solution that an option for your conference or meeting room, so make sure to consider that when making your decision.
Integrates with Zoom and Microsoft Teams
Active speaker tracking
Fast and easy setup
Not great for meeting rooms
USB only solution
7. AVer CAM550
AVer Information might not be the most experienced company, the largest company, or even the most industry-focused company on this list. However, despite its background in education, this Taiwanese company has a wide range of video conferencing equipment that's designed to be simple, yet comprehensive for anyone that uses it.
The AVer CAM550 is the perfect example of this. It offers competitive features, like dual 4K lenses, AI tracking, and advanced gesture control, all while still undercutting many solutions on price. Suffice to say, you can get a lot of bang for your buck with this option. Features include:
12x total zoom camera with quick auto focus
95 ° FOV on the wide angle lens to provide a panoramic view
Gesture control for easy functionality in meetings
Smart gallery view to see whole room and zoomed in speaker at the same time
The AVer CAM550 is an excellent solution for medium-sized conference rooms, as it provides options for multiple speakers and individual breakouts. The wide-angle lens is a bit smaller than others, though, which is why larger conference rooms might need a more robust solution.
12x zoom on 4K lens
Advanced gesture control during meetings
Great value for the money
Limited field of vision on wide angle lens
License upgrade required for global communication
8. Logitech BCC950
We already know how great Logitech is when it comes to video conferencing equipment, particularly as it pertains to price. In fact, Logitech offers some of the most affordable options on this list, and that very much includes the Logitech BCC950.
This small room setup is definitely one of the most affordable video conferencing solutions available today at only $250. It offers easy plug and play functionality with both Mac and Windows, and the odd design actually makes for great communication at eye level during meetings. Other features include:
Integrates with Webex, Zoom, and others
8-foot microphone range
Full duplex speakerphone and HD video
Simply put, you are not going to find a more affordable video conferencing solution that works well. Yes, you're missing out on a few fun features and the device absolutely must be limited to small rooms with meetings of no more than four people. But for that price, you should count yourself lucky.
Incredibly low price
Integrates with Zoom and Webex
Terrible for large rooms
9. Neat Bar
There's nothing wrong with wanting to keep your conference room tidy and neat while still providing your team with an excellent video conferencing tool, which is where Neat can help. This brand prides itself on providing customers with easy-to-set-up video conferencing hardware, so your meetings don't become a mess of wires and buttons.
Neat offers a wide range of tools for video conferencing, but our favorite is the Neat Bar, as it provides a reasonable entry point for purchase. You'll enjoy 12 MP camera quality, 4x zoom capabilities, and a five-mic array. Plus, with the included Neat Pad, you can utilize the touch screen to keep your meetings on track. Other features include:
120° FOV wide angle camera
Light, orientation, and air quality sensors built in
Double screen support
Automatic people framing tech
Neat has been a popular option for video conferencing hardware, particularly with its Neat Board option, which costs almost twice as much as the Neat Bar. All in all, you can't go wrong with this brand, but the Neat Bar is a great place to start without completely breaking the bank.
Compatible with Zoom and Microsoft Teams
Easy to set up with simple mounts and helpful guides
Comes with handy Neat Pad
Hard to swap between Zoom and Teams
Customer service not very responsive
10. PTZOptics 4K Move
If you're looking to be a bit more creative with your video conferencing equipment needs, PTZOptics could provide you with a viable option. With lower prices than some of the other brands and a more customizable, flexible approach to video conferencing, you'll be able to control your meeting room from floor to ceiling.
The PTZOptics 4K Move offers high quality video and audio, along with excellent AI-powered tracking capabilities to make your meeting that much more engaging. It's so impressive, in fact, that it can lock onto a particular speaker from as far as 300 feet away, even when others are in the frame. Features include:
Compatible with nearly all video conferencing software
Seamless live streaming to Facebook and YouTube built in
5-year limited parts and labor warranty
3D noise cancelling
PTZOptics is certainly a unique option for video conferencing equipment, but if you have the expertise to take advantage of all the customizability, you could seriously Improve the quality of your meetings. However, if you're not an expert on this kind of equipment, it might be better to try out some of the more comprehensive options above.
Incredibly customizable, with open source camera control
3D noise cancellation technology
Easy streaming to Facebook and YouTube
Complicated for inexperienced users
About Our Research
These video conferencing equipment recommendations for your business didn't just fall out of the sky, you know. In fact, our research team spent hours combing over feature catalogs and pricing plans to get you the most pertinent information about these tools, so you can make the right decision.
If you're interested in learning more about how we analyze and evaluate video conferencing equipment and other business tools, check out our research guide to see how the recommendations get made.
Video Conferencing Pricing
Now that you've got a clear understanding of the best video conferencing equipment on the market, making your decision should far easier. Whether you're more focused on price, video quality, or equipment design, you can find the perfect device for you, without breaking the bank.
If you're still on the fence about what video conferencing company to choose, read our FAQs below. You can also get a personalized price quoteto see how video conferencing will impact your bottom line.
It's pretty simple! In the same way you would set up an audio conference, just create a meeting in your video conference software, turn on your video conferencing equipment (after making sure it's connected), invite attendees with a number, link, or PIN code, and you'll be all set to stay in touch with your team. Make sure to follow video meeting best practices too, so you can have a productive experience.
Yes, but it can be quite limited, particularly for businesses looking to scale in the future. Free services like Google Meet and Zoom offer questionable video quality and very few features, making it hard to host larger meetings or enjoy advanced features like annotating and presentation mode.
Once you're set up with the best video conferencing equipment, you're going to need video conferencing software to go along with it. This will provide you access to a platform that will allow you to set up calls, host meetings, and take advantage of a wide range of other features designed to make professional communicating easy.
That's the best part about web and video conferencing: no international fees. As long as you're calling someone at the right time of day (don't forget time zones), you'll be able to communicate with anyone around the world with video conferencing software.
As long as you don't have your password on a sticky note within the frame of your video call, your video conferencing should be quite secure. The top brands will thoroughly encrypt sessions, preventing anyone from jumping into a call they weren't invited to.
Security measures do vary by brand though, so make sure to look into it if privacy is a primary concern for your business.
Take a step towards better communication
Get a customized price quote for Unified Communications, including video conferencing.
If you click on, sign up to a service through, or make a purchase through the links on our site, or use our quotes tool to receive custom pricing for your business needs, we may earn a referral fee from the supplier(s) of the technology you’re interested in. This helps Tech.co to provide free information and reviews, and carries no additional cost to you. Most importantly, it doesn’t affect our editorial impartiality. Ratings and rankings on Tech.co cannot be bought. Our reviews are based on objective research analysis. Rare exceptions to this will be marked clearly as a ‘sponsored' table column, or explained by a full advertising disclosure on the page, in place of this one. Click to return to top of page
Thu, 28 Mar 2019 04:19:00 -0500en-UStext/htmlhttps://tech.co/web-conferencing/best-video-conferencing-equipmentKillexams : Lights, Camera, Actionable Insights: The Ultimate Guide to Video-Based Learning
Video-based learning is here to stay. As video visionary Michael Litt puts it, “the play button is the most compelling call-to-action on the web.”
Every day, people watchone billion hoursof video on YouTube. And that’s just one of many video platforms on the web. According to Cisco,82% of global trafficcame from video streaming or downloads in 2022.
The eLearning market is projected to reach$848bn by 2030. Video-based learning and video training solutions are a significant part of this trend.
After all, the way we learn has changed. We no longer reach for manuals or weighty instructional tomes. Instead, we visit Youtube, TikTok or video course libraries like Coursera and Udemy.
With this in mind, we’ve created the ultimate guide to video-based learning. This article includes a clear definition, a breakdown of the benefits, tips and tricks, case studies and a look to the future. Ready forreelresults? Then let’s get started.
What Is Video-Based Learning?
Video-based learning refers to any learning experience that is facilitated through video. Video, as you probably know, is a recording or reproduction of moving images produced digitally or on videotape.
Whenever video is used to share information or teach new skills, that qualifies as video-based learning. Simple, right? So let’s complicate things a little.
There are numerous types of video you can incorporate as part of a video-based learning approach. Below, you’ll discover some of the video types that are most commonly deployed as part of a structured workplace learning initiative.
Common Types of Video:
Instructional:This video type (also known as ‘explainer videos’) is used to deliver information in an easy to understand format. For instance,‘What is a Light Bulb?’.
Demonstrative:This video type is used to illustrate how to perform a specific task or skill. For instance,‘How to Change a Light Bulb’.
Scenario / Case Study:This video type presents real-life examples and scenarios and encourages the viewer to think critically. For instance,‘Eco-Friendly Light Bulb Trial: The Results’.
Personality-led:This video type uses a charismatic presenter to engage and inform the viewer. For instance, ‘Lumina Wattsworth’s Guide to The Best Light Bulbs’.
Common Video Formats:
Talking head:This format utilises an interview setup that featuressubject matter expertstalking directly to camera. This form of direct address can be quite powerful.
Performance-driven:You can also deploy actors or performers to create a narrative that conveys your message. This is great for adding detail to yourscenario-based learningexperiences.
Animation:This video format uses motion graphics to communicate your learning objectives. This is useful for explaining abstract or complex concepts.
Pre-recorded:This covers video that is recorded in advance so that it can be broadcast or shared later.
Livestreaming:This coverssynchronousvideo content that is streamed over the internet in real time. In other words, you’re viewing the footage as it happens.
Interactive:This video format utilises interactive elements such as quizzes or decision pathways to create a more immersive experience.
As you can see, there are a variety of video types and formats for you to consider. To pick the right approach, you’ll need to considerthe personaswithin your audience.
And75% of viewerswatch short-form video content on their mobile devices.
It’s safe to say that we’re video obsessed. But is this time well spent?
What Are The Benefits of Video-Based Learning?
Structured workplace learning is one big battle againstThe Forgetting Curve. To overcome this almighty foe, we must strive to forge genuine connections with our learners.
Without an engaged audience, you’ll never change your learners’ behaviour. And if you can’t achieve that, you won’t drive better outcomes orbusiness impact.
Thankfully, video-based learning can help on multiple fronts.
1. Video Is More Effective
Training videos are uniquely powerful because they appeal to multiple senses at once. Video content contains both visual and auditory data. This helps you to communicate at a more effective and engaging level.
In fact, According toa accurate study, viewers retain 95% of a message when it’s delivered via video. This compares to just 10% when it’s delivered via text.
What’s more, because videos provide a multi-sensory experience, they’re also good at conveying or showcasing complex concepts. It’s often easier to show than it is to tell. This leads to deeper and more meaningful learning experiences.
2. Video Is Easier to Process
You may have seen it claimed (across a variety of sources of varying repute), that people process visuals 60,000x faster than words. If that were true, that would make a compelling case for video-based learning.
Unfortunately, according toEmail Audience, this claim has no actual basis in science. But don’t toss your video cameras in the bin just yet.
They suggest that the actual figure is closer to 600x, which is still a significant boost. After all, this means your learners are capable of processing your videos hundreds of times faster than your other materials.
3. Video Is More Engaging
When given the choice, video is our preferred way to learn. Research shows that our eyes aredrawn towards movement. In fact, you’re27 timesmore likely to click on a video ad than a static image ad.
According toWyzowl, 36% of us have a preference for video-based learning. This makes it the most appealing training option, with one-on-one training in second place (25%) and work-based learning in third (17%).
Videos have a wide preferential margin. So, why not provide your learners what they want?
4. Video is More Memorable
Video helps to Improve your storytelling ability. As we know, agood narrativeis a powerful learning device in and of itself. Combine this with compelling visuals and you’ve got a recipe for learning success.
After all, you’ll be in a better position to trigger an emotional response, which will help your content to live longer in your learners’ memories.Research showsthat heightened states of emotion are more memorable than less dramatic experiences. It’s time to bring some flair!
There you have it. Video is more memorable, effective and engaging than alternative training methods. What’s not to love?
Of course, you’ll want to make sure that you get your approach to creating training videos just right. That’s what we’ll tackle next.
What Are The Principles of Effective Video-Based Learning?
Creating high-quality training videos requires combining sturdy educational principles with technical best practice. Take note of the tips below. Following them will ensure that your training videos pack a real punch.
1. Set Clear Learning Objectives
As with any other training material, every video you create should cater to a particularlearning objective. As such, before you begin work in earnest, ensure you have this objective in mind.
You should be able to clearly state the learning outcomes you want to achieve. This will help both your video producers and your learners to stay focused.
2. Put Good In, Get Good Out
The success of your training video will be decided before you even pick up a camera. Your content needs to flow naturally and follow a clear structure. As such, take care to script and storyboard your video carefully.
Don’t forget to follow best practice. Include an introduction, explain key concepts step-by-step, highlight benefits and conclude with a handy summary and a call to action.
3. Don’t Skimp on Production Value
The quality of your video matters. Whilst you’re not attempting to create a Hollywood blockbuster, you should still put your best foot forward.
As HubSpot notes,28% of consumersfeel that video production value is ‘very important’. That’s almost a third of your audience. It’s little wonder too, given how much video content we all interact with on a regular basis.
As we’ll see later in this article, that doesn’t mean you need to hire a high-end studio or see if Kevin Bacon’s free for a day of filming. Proper planning and preparation can go a long way.
4. Capture Attention With Strong Visuals
Be bold. Your learners have avariety of distractionscompeting for their focus. Use compelling visuals such as diagrams, charts, animations and graphics to seize their attention and enhance their understanding.
Ensure all your assets serve a clear purpose and fall in line with your brand guidelines. Any resources you create for your video should also match the tone and style of your other training materials.
As such, attempt to generate curiosity, surprise and empathy amongst your learners. To do this, you can’t rely on facts alone. Use your video to tell a compelling story and lead your learners on a profound emotional voyage.
6. Create Mobile-Friendly Videos
Ensure that all video content you produce is compatible with different devices. This includes desktops, laptops, smartphones and tablets.
In order to change behaviour, you will need to meet your learners where they are. According toZippia, we check our phones 96 times a day. In fact, most of us can’t bear to be apart from our devices.
As such, many of your learners will access your content on their smartphone. You should provide them with an optimised and rewarding experience.
7. Keep it Short And Sweet
Your learners are busy. In fact, according toStatista, your employees are only setting aside 64-hours per year to focus on their development. That’s just 1.2 hours per week.
The bad news doesn’t stop there. Evidence shows that ourattention spans are decreasing. This creates a challenging environment for learning professionals.
To circumvent this issue, you should followmicrolearningbest practice. Ensure your video content focuses on a single learning objective and is as short as possible. Don’t be afraid to make cuts and to break up larger syllabus into bite-sized chunks.
8. Improve Accessibility
Don’t leave any of your learners behind. Ensure every video you produce is suitable for your diverse audience. To do this, provide closed captions, transcripts and subtitles.
This will help you to cater to learners with different abilities and preferences.
9. Seek Out Feedback
It’s difficult to get things right the first time. And given the changing digital landscape, even seasoned L&D professionals still have a thing or two to learn.
As such, gather feedback from your learners and make refinements based on their suggestions. Regularly update your video content where possible and carry over lessons learnt to future projects.
How Can I Make Video-Based Learning More Engaging?
If you follow our previous suggestions, you’ll create video-based learning experiences capable of generating real impact. But if you’re seeking even higher levels of engagement, then there are still further steps for you to take.
1. Get Interactive
Watching a video is typically a passive experience, but it doesn’t have to be. Creating interactive videos iseasier than you think.
With this in mind, consider adding interactive elements to your training videos. This could include quizzes, polls or reflection questions.
Interactive videos are also great for storytelling purposes. For instance, you could challenge your learners to make decisions that guide the outcome of your narrative.
2. Gamify the Experience
Gamificationis the application of game mechanics to non-gaming environments to increase engagement levels.
After all, you’re helping to create a more dynamic, interactive and feedback-driven environment for your learners.
3. Embrace User-generated Video Content
As you likely know, creating high-impact training videos can be a costly and time-consuming process. Luckily, you’re not the only one capable of pulling this feat off. You have a pool of knowledgeable learners to call upon.
With this in mind, you should establish clear guidelines and provide all the tools necessary to help facilitateuser generated video content.
Active learner participation can help you to successfully scale your training programme, embrace diverse perspectives and drive higher levels of relevancy. What’s more, you’re also encouraging learner ownership and empowering your audience.
What’s not to love?
Is Video-Based Learning A Cost-Effective Approach?
Creating effective video-based learning content is not without its challenges. The cost of video production is arguably the biggest obstacle that will stand in your way. But don’t be disheartened.
According toF.Learning Studio, training video production costs around $300-$2,000 per minute. Yes, that’s a wide range. Ultimately, what you pay will depend on the type of video you’re making, production choices and the video effects you deploy.
As such, if you’re creating a library of video resources, it’s easy to see how you could quickly eat away at your budget.
That said, thanks to advancements in technology, video production is considerably cheaper than it used to be. It’s also worth noting that it’s a one-time cost. Your video is highly scalable and can be used again and again — as long as it remains relevant.
The same cannot be said forinstructor-led training. Your training videos will generate no travel costs, instructor fees or general overhead. In fact, it’s estimated that you can save as much as50-70%with video-based learning.
Cost-Saving Tips for Your Training Videos
There are also a number of ways for you to keep your costs down. We would recommend the following approach:
Plan thoroughly:Stick to your script and storyboard to minimise shooting and editing time.
Embrace minimalism:Don’t get too fancy with your set design, props and other equipment. Focus on the essentials. Talking head setups are relatively inexpensive.
Bulk film:Shoot multiple videos at once to maximise your studio time and reduce your setup requirements.
Use templates:Where possible, use presets and stock imagery to keep costs down. Always keep your audience in mind when making trade-offs in quality.
Use and reuse:Remember, once you’ve created your training video there are no further costs. Deploy it through multiple channels and reuse it wherever possible.
If video-based learning is still proving too expensive, don’t be afraid to embrace more of a DIY-style. After all, most of us have high-powered cameras on our smartphones. Purchase a tripod, check the lighting, find a quiet space and hit record!
Video-based learning has proven to be a valuable tool for employee training and professional development. But don’t take our word for it. Check out the case studies below.
Bayt.com is a leading job-search platform in the Middle East. Since implementing video as part of their structured workplace learning approach, they’ve seen some impressive results. According to their co-founder and CTO,Akkram Asaaf:
“Our training process is a lot cheaper than before. Knowledge retention is up by 40% and our employees are more receptive to training in their own time.”
2. EWR Digital
EWR is a digital marketing agency who focus on SEO and corporate video. They’ve found similar levels of success through video-based learning. Here’s what their CEO,Matt Bertram, has to say:
“We have found that video training boosts information retention. According to our internal data, the retention rate for video training is 60% higher than when using traditional methods.”
What Does The Future Hold for Video-Based Learning?
Here atGrowth Engineering, we like to look ahead whenever we can. And the future we see for video-based learning is very exciting indeed.
Emerging technologies and innovative approaches are set to reshape the way we learn. And video is right at the heart of this revolution.
Furthermore,360-degree videoenables learners to explore their learning environment thoroughly. This makes it easier to adopt different perspectives and viewpoints. As a result, your learners will be better placed to visualise and understand more complex concepts.
Your learners would be able to share their thoughts and feedback via live chat, like and dislike elements and answer poll questions. They could even work together as a group to decide the outcome of any interactive elements within your video content.
3. Better Data
As training videos become more robust and interactive, you can expect your data to follow suit. Learning platforms will begin to offer more robust analytics and insights. This means that you’ll be able to go beyond simple completion rate reporting.
For instance, you’ll be able to analyse viewing behaviour. This includes when they start, stop and pause your content. You’ll also be able to access in-depth interaction reports, heatmaps, attention tracking and more.
There we have it. An exciting future awaits. And that’s before we’ve considered the role thatartificial intelligence(AI) will come to play in video production. For instance, it’s not inconceivable that AI algorithms could be used to generate video content from text.
This will make video production faster, more cost-effective and more accessible. Now that’s a future that we could all get behind.
Video-Based Learning: Final Words
Learner engagement happens when you blur the line between education and entertainment. Video-based learning can help you to remove this line altogether.
We’ve seen that training videos are effective and engaging. We also know that they have a sticky quality that helps them to live rent-free in our minds. What’s more, technological advancements mean that they no longer need to cost an arm and a leg.
We hope that our video production tips and engagement suggestions help you to upgrade your training strategy. The future awaits. You just need to press play.
Kai-Shing Tao; Chairman & CEO; Remark Holdings, Inc.
Todd Brown; Senior Manager of Financial Reporting; Remark Holdings, Inc.
Stephen Hans Wagner; President, Investment Advisor, CIO & CEO; Integrity Wealth Advisors, LLC
Good day, and welcome to the Remark Holdings Fiscal Second Quarter 2023 Financial Results Earnings Call. (Operator Instructions) Please note that this event is being recorded. Now I'd like to turn the call over to Ms. Fay Tian, Investor Relations. Please go ahead.
Thank you, Nick. Good afternoon, everyone, and welcome to Remark Holdings' Second Quarter Fiscal 2023 Financial Results Conference Call. I am Fay Tian, Vice President of Investor Relations for Remark. On the call with me this afternoon is Kai-Shing Tao, Remark's Chairman and Chief Executive Officer; and Mr. Todd Brown, Vice President of Finance. In just a moment, Mr. Tao will provide an update on our businesses and Mr. Brown will recap our second quarter 2023 fiscal results. Following these remarks, we will open the call to questions. But before I turn the call over to Mr. Tao, I would like to take this opportunity to remind you that some of the statements made today may be forward-looking statements. These statements involve risks, uncertainties and other factors that could cause actual results to differ materially from those expressed or implied by these forward-looking statements. Any forward-looking statements reflect Remark Holdings' current views, and Remark Holdings expressly disclaims any obligation to update or revise any forward-looking statements after this date hereof. This disclaimer is only a summary of Remark Holdings' statutory forward-looking statements disclaimer, which is included in full in its filings with the SEC. I will now turn the call over to Remark's Chairman and Chief Executive Officer, Mr. Tao, so he can provide additional information on Remark's businesses and accurate developments. Please go ahead, Shing.
Thank you for taking the time to listen to our Q2 update, and we're excited to share what lies ahead of us. But first, a recap of Q2, which was revenue that was strongly driven by our business in China by the current economic and political headwinds that China is facing. First, the construction sector. In Q2 2023, we've completed 25 Remark AI construction product deployments, which contributed over $2 million. The deployments are for smart construction platform, which includes worker check-in and checkout, worker PPE monitoring, worker safety enforcement, hazard zone intrusion prevention, fire and smoke alerts, environmental protection monitoring. We continue to develop construction SOP and autonomous operation-related AI algorithms and applications, which will include autonomous crane operation system and autonomous cement mixing system. Two, school sector. In Q2 '23, we continue our Remark AI school product development and deployment. We've added 43 schools in our customer base in Q2, which makes our AI school products to serve over 700 schools and 1.5 million students. Our school safety, food safety and AI energy controlling system, along with new products released in Q2, which include eye protection and restroom environment monitoring system are making us a unique AI product provider in the school education market. We are now expanding our footprint into 2 new provinces in China and into the city of (inaudible), which is 1 of the 4 principal municipalities of China. To date, our systems cover less than 1% of the total of 400,000 campuses in China. Three, our community. We completed the entire deployment of our smart community projects, over 1,800 communities deployed in which we do that in conjunction with China Mobile for Phase I. We are in the process of negotiating additional Smart Community project Phase 2, which will cover an additional 3,000 residential communities and over 5 million residents. Phase 2 is expected to start in Q3, Q4 of this year. Four, Airline sector. As we mentioned before in our calls, Remark AI has introduced the first AI aviation platform in the industry. We are currently in the final bidding process for 3 of the airline AI projects after delay due to COVID from 2022. The projects include airport safety system, engine inspection system and airplane collision prevention system. To remind you of the use cases here, typically, it takes 1 hour plus for 10 workers to inspect the engine to make sure there are no burns or cracks in the blade. With our computer vision AI, we are now able to do this inspection in under 10 minutes and with only 1 inspector. And lastly, in the retail sector, we are currently working with 1 of the largest ice cream and pizza chains in China and have deployed our AI smart retail products to over 600 stores. The products include staff, check-in and checkout and performance analysis, food processing, safety, theft prevention, store food material waste management, product presentation and placement, and loss of sales prevention, replenishment management and et cetera. We are expecting an additional 600 more chain stores to be online by the end of Q1 '24. Going beyond China. During the last 2 conference calls, we have shared with you the large total addressable markets, otherwise known as TAM, Remark Holdings is seeking to capture. To recap, there are currently approximately 100 million cameras in the United States and another 200 million globally, excluding Greater China. Our mission is to utilize our award-winning AI power technology to bring intelligence to the 300 million sum cameras that are in the marketplace outside China, providing detailed analytics such as identity recognition, large density people counting, loitering object detection, weapons detection through our SSP, otherwise known as our Smart Safety platform that is camera and platform-agnostic. Modeling $100 per month analytic fee per video stream or $1,200 annually. That reflects an annual total addressable market of $3.6 billion in recurring revenue globally, excluding Greater China. With such a large TAM, how are we going to capture this market opportunity. We have been in discussions actively with sales and marketing partnerships with technology market share leaders that have wide distribution and a vested interest in participating in the rapid growth in the implementation of AI technology. It's not a secret that the competition is very intense for market share out there, and these large companies want to fund the best partners to help them rapidly advance their AI business. While Remark AI's platform is broadening its capabilities, what we have uniquely distinct ourselves is in the specific AI area of computer vision. Our focus is on making industrial applications run more efficiently as that is a large-scale business that is moving rapidly too and is what customers are paying for now. As we deepen our relationships and partnerships, it is very clear that we are 1 of the leaders in this area, and we are well positioned to further our lead in this race. We also recently announced our partnership in working with global leaders with both NVIDIA and Intel. We have optimized our AI computer technology with each respective company's latest chip, which now allows us to jointly market our computer vision technology to their customer bases, utilizing their 5,000-plus sales force who are trained to help sell our Smart Safety Platform. The collaboration with Intel does not stop within the U.S. as we are actively partnering to deliver the SSP to their Latin American customers that complement our existing system integrator relationships. With Intel, we will be initially working with them in retail and quick service restaurant space with both understanding how their customers shop and eat on the front end and then working with their food and customer safety and security on the back end. This is exciting for us as we first worked with Intel a couple of years ago in launching a kitchen safety platform in China and have now jointly upgraded offering globally. Each group will be initially focused on different areas. Some may overlap, but in general, it's a divide and conquer strategy. Our partnership with NVIDIA through its metropolis ecosystem was recently acknowledged by NVIDIA program manager, David Gregory, who recognize our team's successful working relationship in establishing a strong foothold in the smart city space. This includes traffic control and providing meaningful analytics and data insights to cities, stadiums, and major events. We are now also working with the largest global software company and the largest EV manufacturer in the world to train their product and salespeople on Remark's Smart Safety Platform and how they can help their end customers enjoy an immediate return on investment by providing real-time analytical data that helps to understand their customer preferences as well as augmenting their security teams monitoring capabilities with AI tools to prevent disruptive incidents. This operating leverage gained from our partner's existing distribution channels changes the playing field and allows us to scale quickly. During the quarter, we announced a partnership with 1 of the best companies in the people counting space called WaitTime. We expect to share sales resources with them as they have very established sales channels with Cisco and Intel has made a strong entry here in the U.S., selling their people counting products. Our strategy is to piggyback our sales team and relationships to help expand their offerings to their customers. As you know, once we win this, many similar opportunities will present themselves after we win. As a point of reference, these deals are all 7-figure opportunities with a combination of both hardware and software, which ultimately means high-margin business for Remark AI. To provide another example, previously, we've disclosed our relationship with the Barclays arena, where we are integrating our AI analytics with their existing Genentech video management system to help provide area, arena security, monitor crowd density as well as extend coverage for the exterior square attached to the public transit station. Our software partner has direct relationships with 150 sports teams in the NBA, NFL, NHL, MLB, MLS as well as over 200 stadiums and arena, speeding up the sales conversations with decision-makers as we leverage our future placement in their platform marketplace as a preferred provider we sell directly by their sales force. More importantly, the credibility from this partnership provides an indirect technology stamp of approval for most corporate IT departments, which are already running on their operating systems. Recently, we are in discussions with the world's largest EV manufacturer for them to bring EV transport buses and school buses to Nevada. Given Remark's extensive expertise in AI-powered video analytics and our proven track record of developing fast and effective innovative solutions, we are well positioned to have our suite of SSP products to outfit the EV bus to provide functions such as people counting, violence detection and driver monitoring. The federal government through the Federal Transit Administration, FTA will be funding Axis 2050, which is focused on improving the transportation system through the U.S., the #1 of the top 5 priorities of this plan is safety. Safety is what Remark's products are built to provide as we have now shown through our deployments around the world. This includes here in Fremont Street Las Vegas to Brazil with the police departments and 2, the U.K. with border and traffic control. Our capabilities drive meaningful change, foster efficiency and contribute to the realization of Axis 2050's overarching mission solidifying our role as a front runner in the pursuit of the $3.74 billion that is allocated for improving safety from the Axis 2050 overall spend. As you may recall in our last earnings, I noted about the opportunity for us to work with 1 of the largest providers of school buses in the U.S. using our AI safety security technology. We're able to make progress in those discussions and with this opportunity in Nevada will only significantly enhance the opportunity. In addition, we are partnering with large global systems integrators with deep industry relationships who already sell and service the end market that we are seeking to capture. One example of this partnership is with [Intellicity], working with them to outfit the Rio de Janeiro police car fleet with mobile facial and license plate recognition capabilities as police officers patrol the city looking for wanted persons or vehicles. In a short period of time, we were able to customize our technology offerings for the Brazil market and subsequently win. While this is just the initial phase, it showcased our ability to move fast and make the requirements of our customers, and we're confident you will see many opportunities like this in Latin America in the second half of the year. One of the key advantages to Remark AI is the speed we are able to move in the versatility of our Remark AI platform. Recently, we are presented with a very small window of opportunity to present our platform to address the 911, 311 call center problems that cities around the U.S. are facing. Our competitors thought we would be unable to customize our AI, however, in the short time frame, we were able to do so. We built a platform that was unique and embrace the latest AI technology to help address the issues that city was facing. Many of you know the wait times for 311 or 911 are very long. A key reason for that is the lack of dispatches. Remark AI's 311 platform can simultaneously service 20 sessions in 40 different languages. With the average 311 session costing $3.50 per session and as high as $7 in some major cities, Remark AI's platform immediately delivers cost savings and a return on investments for its urban customers, while increasing the speed and breadth of services through a wider audience. Our platform combines the best in generative AI and computer vision AI. When a caller dials 311, our AI agent will speak to them to help understand this situation. Simultaneously as they are speaking, our AI agent fills out the necessary paperwork to document this call. Lastly, if they say a picture is worth a thousand words, the caller would take a picture or video to showcase the situation and our computer vision AI would better understand and independently verify the nature of the call. This solution was unique and very well received by our listeners. We are confident that after we win this opportunity, similar opportunities will present itself not only in other cities, but any other -- in any business that deals with forms and paperwork, and obviously as well as anything to do with customer service, like airports and restaurants. On a final note, we would like to begin letting you know about the new market, which will be a Q3, Q4 story is Remark AI entering the Middle East, in particular with Saudi Arabia. As it appears this is a special opportunity to take part in the rapid transformation of the Saudi's economy and national infrastructure. Unless you've been hiding under a rock, Saudi is spending hundreds of billions of dollars to transform the economy into 1 that is not reliant solely on oil. We have been approached by several groups that are involved in this transformation, who want our expertise in handling large-scale construction projects like in China and bring it back to the Kingdom of Saudi Arabia. We are very excited about the opportunity as it is unprecedented. And also, we are confident we are 1 of the very few that can provide such solutions. These include managing a workforce that will grow from a current number of 50,000 workers to 400,000 workers by the end of the year, using AI and LiDAR jointly for construction planning or having construction run 24/7 autonomously and in the dark to save power. This is a once-in-a-lifetime opportunity for Remark, and we intend to open an office sometime in 2023 in Riyadh to handle these opportunities. In conclusion, I'd like to emphasize that our business model is built upon annual multiyear recurring subscription revenue that provides a total turnkey AI-powered platform for our customers and partners. Our technology has been proven by our partners and clients to be robust and flexible at the same time. As we set a solid footing into the various markets we have mentioned, our continuous focus is on the mutual goals of positive cash flow generation and growth and believe that this quarter has set us on the trajectory to reach our goals by the end of the fiscal year.
All right. Thank you, Shing, and thank you to everybody for joining us on today's call. As we noted when we last spoke to you during the first quarter earnings call, we expected that our project completions in China would begin to accelerate in the second quarter and they have. Though China's former zero-COVID policy had been adversely affecting our business in China and such policies lingering effects as well as COVID infections continued during the first quarter of 2023, we were able to ramp up our work with vendors and customers during the 2023 second quarter to complete many more projects than we did in the first quarter of '23 and even more projects than we did in the 2022 second quarter. The increase in project completions led to revenue for the 2023 second quarter, totaling $3.2 million, reflecting a 24% increase from the $2.6 million earned during the same quarter in 2022. The revenue in Q2 is almost entirely related to our smart construction project, under which we were able to complete installations of 25 more sites and our smart campus solutions, which we were able to deploy yet an additional 43 educational campuses in China, bringing total installations to more than 700 campuses and helping to protect more than 1.5 million students. With revenue and cost of revenue increasing by about the same amount during the 2023 second quarter compared to the same period of 2022, gross profit remained essentially unchanged at approximately $0.7 million. Our operating loss also remained essentially unchanged at $4 million. Though operating loss did not change, we did experience a $0.7 million decrease in general and administrative expense that resulted from a $0.5 million reduction in stock-based compensation and a $0.4 million decrease in business development expense. Those decreases in G&A expense were partially offset because we recorded a total of $0.4 million of asset impairments in the 2023 second quarter compared to having no impairments in the same quarter of 2022. Increases in sales and marketing expense and technology and development expense also partially offset the decrease in G&A. Net loss totaled $5.9 million or $0.42 per basic and diluted share in the 2023 second quarter compared to a net loss of $12.5 million or $1.19 per basic and diluted share in the same quarter of 2022. Since operating loss was unchanged, the decrease in net loss was primarily the result of the 2022 second quarter including $6.9 million of loss on an investment that did not recur in the 2023 second quarter. Also, a decrease in interest expense because significantly less debt principal was outstanding during the 2023 second quarter and during the same period of the prior year was offset by an increase in finance costs related to the obligations to issue our common stock that resulted from our transactions with Ionic Ventures LLC. On April 12, 2023, we issued the second of 2 debentures to Ionic Ventures pursuant to the debenture purchase agreement that we and Ionic signed on March 14, 2023, and we received $1 million pursuant to such debenture. We also received an advance of $2 million during the 2023 second quarter pursuant to the equity line of credit with Ionic Ventures that was established in October of 2022. The convertible debentures we issued in March and April of 2023 plus the advance pursuant to the equity line of credit during the 2023 second quarter provide rise to obligations to issue our common stock and, in turn, caused the increase in finance costs. As of June 30, 2023, we were obligated to issue an estimated 5,711,148 shares of our common stock to Ionic, representing an obligation with an estimated aggregate fair value of [5.6 million]. As of June 30, 2023, we still owed an aggregate total of $16.3 million to our lenders, an amount which currently must be repaid by October 31, 2023. We continue to have ongoing conversations with our lenders regarding that outstanding debt and are confident that we will reach a positive solution that is beneficial to all stakeholders. Also as of June 30, 2023, our cash balance totaled $0.2 million compared to a cash balance of $0.1 million at December 31, 2022. Net cash used in operating activities was $5.2 million for the 6 months ended June 30, 2023, representing a 53% decrease compared to the $11.1 million we used in operating activities during the same period of 2022. And with that, I will turn the call over to the operator to begin the question-and-answer portion of the call.
Question and Answer Session
(Operator Instructions) The first question will be from Steve Wagner of Integrity Wealth Advisors.
Stephen Hans Wagner
I just -- we are hearing so much about AI -- and I've had some -- I read -- actually, I read a really good book on it called The Spatial Web. And I'm learning that there -- everyone's doing generative AI, but -- it seems like that's a commodity. Is that what you're doing? Is there any difference between what you're doing than what everybody else is doing in this regard with the computer vision and (inaudible)?
I would -- thanks, Steve. I think within AI and certainly generative AI with what we're seeing with ChatGPT has definitely garnered the attraction. Where we focus on is computer vision. We feel that's a much bigger market, that's where customers are paying. And I really believe the value that AI brings us in the industrial applications. So we've been -- we have our own large language model. We -- actually, that was what we -- one of our first ventures in AI, and I think those back in 2017, 2018. So we've actually been able to update our model and been able to use that with some of our customers. But as a stand-alone business, it's very difficult. It's very difficult to get customers to pay for it. And so that's why we had pivoted almost 6 or 7 years ago. And we're glad that we do that. You can see once ChatGPT had released their product, very quickly, there were a lot of other companies that introduced their language model. So the barriers to entry is not very high. For what we do, we think the barriers to entry are very high because it's not just the -- it's not just coming up with the technology, but it's the ability to deploy it as well. The implementation is not so simple.
Stephen Hans Wagner
Sure. As you look across the spectrum of AI outside of the magnificent 7, it seems like there's been just a gigantic fair market sell-off in market valuations. I mean what are you seeing in private wise -- private valuations on AI? And what -- I mean, how would you measure where Remark should be given what you guys are doing and seem to be really enthusiastic over?
Yes. I mean it's obviously frustrating where our share price is and where our valuation is. But I think this is a -- this is not a sprint. It's certainly a long-distance race. And so yes, it's -- I think you see a lot of private companies right now that are raising monies with -- in the several hundred million dollar valuations with less than $2 million of revenue. I just don't think that's sustainable. I feel that where there are companies that are incredibly overvalued in terms of their metrics where we obviously feel we're very undervalued. We have a technology that we built from the ground up. We've got a blue chip customers around the world, and we're generating real numbers without taking huge losses to get there. And we feel we're on track to breakeven this year, which I think will be the first for any AI company doing these kinds of numbers. So it is -- inevitably, it is a distraction when you read it in the press but when it comes down to actual execution, I like where we are -- what path we're going down.
Stephen Hans Wagner
Okay. In terms of headcount, I mean where are you guys now that way? I mean -- and do you see -- obviously, as you get these contracts, there may be more of a need for capital? Or do you think that will be offset by upfront deposits or revenue. And I would like you to expand on that because I think 1 of the things we shareholders are kind of looking at is we understand that you've been hearing about the revenue. And obviously, it's great to see some money coming in from the China side of things. But like bringing on a domestic customer, is there any upfront revenue? How is that going to work?
Yes. I mean we don't do unpaid POCs, right? So that's -- it's not -- when we go through a proof-of-concept, they're paying customers. So I think we're kind of -- we certainly feel we're past that stage where we're doing things for free, right? So -- but as we expand, I think certainly with our partnerships that we mentioned with Intel and with NVIDIA and the software partners that will -- there won't be that unformed cost for, just say, additional salespeople because we'll be able to leverage upon their existing sales team. As far as deployment, we will be covering as these opportunities are being presented, of course, we're working with local systems integrators, but a lot of times, we'll need our guys on the ground as well. So I could see certainly an expansion there. Certainly, the ability to handle so many different projects. I mean, I think we're uniquely positioned to do that. So we didn't -- we've been doing this for almost 10 years now. So we didn't do this spend all this time to just be a one-trick pony, right? So we had a vision 10 years ago to really build a comprehensive AI platform, and now we're seeing that. And these opportunities are presented to us that no one else is able to execute. They may claim they do it, but when it comes to execution, it's different. So yes, so obviously, we would have to staff appropriately for that. But obviously, with these partnerships, that upfront cost will come at a lot lower number than what it would have been if we're going to do everything ourselves.
Stephen Hans Wagner
Okay. So -- and again, I apologize. I was -- I came into the call literally 20 minutes late. So I missed a lot of it. So it sounds like these are partnerships, as you mentioned, I think, with Intel and NVIDIA that they will provide funding for. Is that -- am I hearing that correctly?
No, you didn't hear that correctly. What they're providing is their sales team, right? So I think each company has their own marketing program where say, for example, if there is a potential customer that's a little bit hesitant on incurring the cost of a paid POC, that company will come in and provide $300,000, $400,000 that would pay us to execute that, right? So obviously, that's very -- that's -- that's exciting. Even more exciting is the fact that now we can leverage they have over 5,000 kind of a sales force and being trained on how to sell the Remark's AI solutions obviously speeds everything up for us. We cover a lot of areas faster. I can get to the -- frankly, get to the key decision-makers great. So I think in any type of enterprise account, you have to hit the company from a bunch of different angles. And I think this just makes our pitch more compelling.
Our next question will come from Ross (inaudible), [Silvan International].
Yes. So a question I have for you is -- you look at a lot of companies in the AI space, you don't see a ton of execution. I look at Remark, and I see you've already won an initial $6 million agreement for -- with the Rio de Janeiro police cars. And then you've got a $1 trillion company in NVIDIA, who you've joined this metropolis ecosystem. I mean what's -- how are you so differentiated from these other, like what's differentiating you or what's your secret sauce as it relates to these opportunities? And what's making you stand out, I guess, is what my question is?
Okay. So I think I'd answer that in 3 -- kind of the 3-part answer. The number 1 is we've been doing this for a long time, and we're not -- we didn't just start this AI company in the last 2 years and certainly over the last 6 months to capture the wave. So it took us 6 years to build the technology in just in the last 3 or 4 years to gain the experience on how to deploy it. Each customer obviously has different requests and the actual expertise in putting up these cameras and the angles and the placements and all that takes time. And obviously, every type of vertical has their own intricacies. But I would say, taking a step back, the 2 most important part, which answers a bigger question, which is why are we able to go into these different industries, is really our core algorithm, right? So the way that our algorithm is trained allows us to is number one, train any type of solution that we don't have under kind of our stable to do it in a very fast manner. So typically, it takes 9 to 10 months to train something new, we can do it under 1 month. And then the second part is you probably have heard about with these AI algorithms you need, it's all about the data sets and how much data you need. A key point to ours is that we don't need a lot of data to train our algorithms. We actually call that our few-shot training algorithm. And we'll post a white paper on it just to provide further detail on it. But that allows us to train the algorithm much faster than anybody else and with a lot less data. And because many times, the solution pain point that you're looking to solve doesn't have the data sets to train it under. So I think those are the things that really differentiate ourselves from a preparation standpoint and then number two, from an execution standpoint. I hope that answers it.
(Operator Instructions) Next question will be from Brendan O'Neill, Ionic Ventures.
I have a couple of questions for you around kind of your interest in developing the non-China-based revenue streams. And kind of going back to kind of the earlier calls, April and May calls, you touched on a couple of things. I was wondering if you could provide a further update on the yellow school bus program in partnership with Netwatch. I think at the time in April on the call, you had launched a pilot program and school starting up here, so I just wonder if you could update us on how that program is going.
Okay. Sure. That was what I kind of alluded to in our discussions with the trends in school buses. I would say the discussions are moving along. As you can imagine, this is covering a large school bus space. But the opportunity is right there in front of us. So we continue to customize our algorithms for their needs, and we hope to have something for you over the next couple of months as this is a big deal for everyone, right? Because we would be outfitting over 50,000 buses using our algorithms. But we think there will be something where you'll see in the future where, with Taiwan, what we were doing with them. Also with the large EV company we mentioned on our call and what they're doing in Nevada.
Okay. And similar to other opportunities, I know on August 1, you announced your 311 product that you kind of alluded to on the May call of a various opportunity. Is that a product launch? Do you have a current customer? Or what would be your strategy to now getting municipalities and people to use this product?
Yes. Right now, as you can imagine, when you do with municipalities is that you have to go through their technology governance board, which is always -- always a hurdle. We just passed one. And right now, we're waiting for the formal approval from the other one, from the other city (inaudible) right now, I'd say, close to the finish line for really on 2 major cities in the U.S. And it's a major problem. It's a very -- of very high urgency. We were doing 1 presentation just 3 weeks ago. And tragically, a mother was shot while the daughter was waiting on hold for a 911 call. So this is something and this is what we were presenting to the technology board. So this is obviously something of very high importance. But obviously, we have to jump through the hoops. But I say we're -- because of the urgency, we're moving faster than any other group is on this area. But it would be 1 major city on the West Coast and 1 major city on the East Coast that we're doing this.
Our next question will be from Andrew (inaudible), Breton Capital.
I have a quick question. I know you mentioned the Neom, the -- the Saudi Arabian city of the future and all the investments they're making in AI. And so I'm wondering how you think you're able to compete there and what your competitive advantage is participating (inaudible) in the business? It seems like all the really big players are trying to get a stead in there.
Yes. I mean it's not easy. I mean, a lot of these things were, for sure, the smallest company, that's probably participating there. But what we do have and what we keep on saying is our AI is unique. And very few companies have the experience in working on large-scale projects like we do. We've had over 5-plus years of working with the largest construction company in China working on their largest projects. So we can take that expertise and bring it to Neom, which is where similar-sized projects are now being designed and built. So I think we're uniquely qualified for that. And it's not just a qualification, it's that we -- there aren't many, if you were to look around, there -- there are AI companies in the construction industry that provide 1 or 2 features rather than a real full complete platform. So we're able to go in, provide 20 different solutions immediately. We don't have to wait 6 to 9 months to customize, but we can be up and running within 4 to 6 weeks. And everything you realize as you spend more time in Saudi is that they want to move fast. They don't want to wait. The capital is not an issue. The issues are you able to deliver and execute. And we think we are. And construction is just 1 industry of where we potentially may work with them. They are building 1 of the largest sea ports in the world. They're building 1 of the largest airports in the world. So -- and these are all areas that we have uniquely developed a platform to handle. And we just don't see other competitors doing the same thing. I mean they tell us the same thing. So I think many of the counterparts, when we talk to them are surprised that there is even something out there like this. So we are just going through the process. I think when we first started having conversations with them was back in late spring. And so things are moving along pretty fast where we can -- right now, when we talk about construction, but there are 3 to 4 other verticals within that we think we can bring to a project like Neom over the course by the end of this year.
That concludes our question-and-answer session. I'd like to turn the conference back over to Mr. Fay Tian for closing remarks.
Thank you, Nick. Thank you, everyone, for participating in Remark Holdings Second Quarter Fiscal 2023 Financial Results Conference Call. A replay will be available in approximately 4 hours through the same link issued in our August 2 press release. Have a good afternoon.
Conference has now concluded. Thank you for attending today's presentation. You may now disconnect.