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Exam Code: ServiceNow-CIS-HAM Practice exam 2023 by team
ServiceNow-CIS-HAM Certified Implementation Specialist - Hardware Asset Management

Exam Specification:

- exam Name: Certified Implementation Specialist - Hardware Asset Management
- exam Code: N/A (Specific exam codes may vary based on the certification provider)
- exam Duration: Varies (typically 90-120 minutes)
- exam Format: Multiple-choice questions

Course Outline:

1. Introduction to Hardware Asset Management
- Overview of hardware asset management and its importance in organizations
- Understanding the role of a certified implementation specialist in hardware asset management

2. Hardware Asset Lifecycle Management
- Key stages of the hardware asset lifecycle (acquisition, deployment, maintenance, retirement)
- Best practices for managing hardware assets throughout their lifecycle

3. Hardware Asset Identification and Tracking
- Methods for accurately identifying and tracking hardware assets
- Asset tagging, labeling, and inventory management techniques

4. Configuration Management and Documentation
- Strategies for maintaining accurate configuration records of hardware assets
- Documentation requirements, including asset specifications, warranties, and licensing information

5. Asset Procurement and Vendor Management
- Procurement processes for hardware assets, including vendor selection and evaluation
- Contract management and vendor relationship management

6. Asset Deployment and Maintenance
- Planning and executing hardware asset deployments
- Asset maintenance and support activities, including repairs and upgrades

7. Retirement and Disposal of Hardware Assets
- Proper procedures for retiring and disposing of hardware assets
- Compliance with legal, environmental, and data security regulations

Exam Objectives:

1. Understand the fundamentals of hardware asset management and its role in organizations.
2. Demonstrate knowledge of the hardware asset lifecycle and best practices for managing assets at each stage.
3. Identify and track hardware assets accurately using appropriate methods and techniques.
4. Manage hardware asset configurations and maintain up-to-date documentation.
5. Implement effective procurement processes and vendor management strategies for hardware assets.
6. Plan and execute hardware asset deployments, including maintenance and support activities.
7. Adhere to proper procedures for retiring and disposing of hardware assets, ensuring compliance with regulations.

Exam Syllabus:

The exam syllabus covers the following syllabus (but is not limited to):

- Introduction to hardware asset management
- Hardware asset lifecycle management
- Hardware asset identification and tracking methods
- Configuration management and documentation practices
- Asset procurement and vendor management
- Asset deployment and maintenance processes
- Retirement and disposal of hardware assets

Certified Implementation Specialist - Hardware Asset Management
ServiceNow Implementation learn
Killexams : ServiceNow Implementation learn - BingNews Search results Killexams : ServiceNow Implementation learn - BingNews Killexams : Data Is Still The King When It Comes To Generative AI

Shailesh Manjrekar is the Chief Marketing Officer at CloudFabrix, the inventor of Robotic Data Automation Fabric and an AIOps Leader.

Generative AI (GenAI) is getting more integrated into solutions we use individually or as part of organizations, and AIOps and observability are no different.

GenAI is expected to catapult this market by making AIOps and observability more accessible and efficient. However, there are challenges that come with using GenAI without working on its underlying data. Let’s explore.

What Is Generative AI For AIOps?

Generative AI produces new content. It isn’t new, though. GenAI’s roots go back to machine learning. Most recently, in 2014, Ian Goodfellow and colleagues introduced generative adversarial networks, or GANs, a kind of ML algorithm that could create authentic videos, images and audio of real people—the GenAI we know today.

Transformers and large language models (LLMs) fuel GenAI applications. I highly recommend this insightful read on the subject to learn more about the evolution of GenAI.

Today, we’re reviewing how GenAI augments IT operations: AIOps and observability. Data and AI represent power and opportunity in the digital age. GenAI democratizes data and AIOps by making them easy to understand, access and work with.

Operations teams are continuously inundated with data. AIOps and observability have become the bare bones of operations, and GenAI holds a new promise, albeit with a caveat.

Allow me to make a case for GenAI in AIOps and observability. To do that, let’s understand what goes into a successful GenAI implementation.

Context-Aware Conversational Queries With Local LLMs And Data Fabric

The effectiveness of a co-pilot or GenAI assistant depends on how well it can understand the context of a conversational query (the input in human conversational language) and yield relevant results.

An example of this is asking, “Who discovered gravity?” followed by “How was it discovered?” and “What is its significance in science today?” The follow-up questions require the algorithm to maintain and use the context of the first question. It needs to understand that we’re still talking about gravity even when we don’t explicitly repeat the context.

In AIOps and observability, organizations want GenAI to answer/perform the following:

• Create a composable dashboard for syslog data sets.

• Create a new RDA (robotic data automation) pipeline to create ServiceNow tickets.

• What data sets do I have in my RDA platform?

• Explain network outage impact upstream.

To be this specific, GenAI needs the right data within the appropriate context. Data fabric allows real-time discovery of the environment and inclusion of all the data sets. Then, it enriches the data with automated topology discovery or external feeds.

RDAF (robotic data automation fabric) builds the context for a conversational query. Low-code/no-code pipelines enable rapid code deployment to build this context and enrichment.

GenAI implementations where LLMs are trained using only OpenAI frameworks lack relevance. Since the algorithm builds on publicly available generic data, it fails to be relevant to your data, environment and pipeline.

Context Awareness Unlocks GenAI’s Highest Potential For IT Operations

How do we build this context? We use a local knowledge corpus. We embed composable low-code/no-code bots, knowledge base articles, metadata, service blueprints and normalized enriched data with context into a vector database.

A local LLM can understand the local context, turn a conversational query into a context-aware prompt and send it to the OpenAI service. For each query, a semantic search using the Langchain framework adds the context and sends it to OpenAI. Now, the OpenAI service yields extremely relevant information or carries out tasks based on the environment.

So, how can all this contextual information be sent along with the prompt without exhausting the token limit on OpenAI prompts?

A retrieval system with contextual document compression helps reduce the prompt size while maintaining context information.

GenAI alone isn’t enough. Context, and by extension, the underlying data are critical.

Here are a few challenges that come with GenAI for AIOps and observability:

  • Ensuring The Accuracy And Predictability Of LLMs: Training an LLM on public data sets may introduce errors and misinformation. It’s best to train LLMs on custom data sets using semantic search and RDAF to build a local knowledge corpus.
  • Ensuring Privacy And Governance Over Custom Data Sets: User policies are key to achieving data governance.
  • Working With The Token Limitation On OpenAI’s GPT: Data compression is important while maintaining the RDAF-generated context with the local LLM for accurate, context-aware prompts.
  • Asking A Recurring Question: Using locally generated context, with RDAF and local LLM to feed the prompt, enables accurate responses to follow-up prompts.

GenAI, Data Fabric, Data Automation And No-Code Pipelines: The Winning Recipe

There are usually two inhibitors to AIOps:

1. The Right Data: Getting the data in order requires a data automation framework. Data constitutes the raw material (for training), as well as the dressing (context) in the recipe for GenAI.

2. Democratization: AIOps and observability must be achieved and handled org-wide. GenAI makes this possible, but only with the right context.

This idea is close to the data value gap I often talk about, which creates a gap between data and the derivation of value from it. The data value gap consists of:

• Data Quality: 80% of the time is spent on getting the data right.

• Data Silos: Data is dispersed across the endpoints, data centers and multicloud.

• The Skills Gap

The unique combination of RDAF, data automation, no-code pipelines and GenAI works on all three challenges to close the data value gap.

A low-code environment enables rapid code development using bots. This means a GenAI implementation can be achieved within weeks instead of months for an organization. RDAF helps build the context for conversational queries by making real-time data accessible and available.

Data automation helps massage and enrich the data before using it for a local LLM. Finally, GenAI works its magic and unlocks the potential for AIOps and observability.

GenAI holds high promise for AIOps and observability, and this market is expected to catapult. RDAF, no-code pipelines and data automation are paramount for GenAI to be contextual and accurate in the AIOps use case.

Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Sun, 13 Aug 2023 22:31:00 -0500 Shailesh Manjrekar en text/html
Killexams : 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 out medical billing and collection tips from 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 reading 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 -0500 en text/html
Killexams : Destination digital!

Any business hoping to succeed in today’s competitive landscape understands the need to put digital transformation at the top of its priority list. 

Digital technology now infiltrates almost every aspect of conducting business, from how customers interact with organizations, how employees do their jobs and how the internal processes work, and the global pandemic and shift towards remote working only accelerated this trend. Put simply, those which do not adapt to the digital world are highly unlikely to survive. 

“Both customers and employees expect to have a contextual experience throughout their journey with the company,” says Prabhu Karunakaran [PK], founder and CEO of digital transformation firm Exterprise. “To achieve such seamless experiences in a hybrid work environment, organizations are creating more technology than ever before, and are becoming digital solution companies in the process. They are quickly realizing that they need to unite their formerly siloed information technology, business, HR, legal and marketing departments into fast-moving, cross-disciplinary digital teams.” 

But for established businesses, this often means transforming from rigid legacy systems to flexible digital platforms, which can prove challenging even for Fortune 500 companies. A lack of historic investment in technology has been compounded by budget cuts during the pandemic, meaning many still rely on antiquated hardware and software installed decades previously. 

This is not the only factor holding businesses back. Other common issues include organizational silos where decision-making can be split across functions; a lack of digital skills; a culture which is resistant to change; and a lack of clear strategy and communication across departments. 

For many businesses, the answer is to turn to one unified platform that can bring productivity improvements through digital transformation which can help employees, customers, and assets. “Taking good care of these three core imperatives is critical to profitable revenues and organizational growth,” says PK. “Productive and happy employees will deliver enhanced customer experiences, resulting in more revenues. Efficient monitoring of assets including hardware, software and enterprise assets will create operational excellence.” 

One such offering is ServiceNow’s NOW Platform, which deploys enterprise-scale solutions to organizations in several industries, improving efficiency for employees, customers, and assets. Its IT Service Management solution, for instance, automates core service processes, and makes it easier for those working in IT to resolve issues faster, while its IT Operations Management and Asset Management package proactively monitors the performance of assets, helping to prevent outages in the first place. 

The Customer Service Management element ensures agents have the information they need to quickly resolve issues, including proactively identifying potential problems before they become apparent. Businesses can also benefit from automated responses to common customer questions, increasing the efficiency of employees. Staff working in the field can benefit from the same functionality through the Field Service Management solution. 

From an employee perspective, businesses can deliver a streamlined service experience with intelligent workflows, starting with efficiently onboarding new hires. Employees themselves can find the information they need to self-service their own HR needs, while the Workplace Service Delivery solution helps the day-to-day work run more smoothly, boosting productivity. A accurate IDC report suggests agile organizations retain employees at a 34% higher rate than competitors, helping them meet the demand for skills in the current war for talent. 

With teams in the US, India, and Central America, Exterprise is a certified pure-play ServiceNow implementation partner, with skilled resources operating in different time zones, and clients in sectors including financial services, insurance, healthcare, telecom, and government. Exterprise helps businesses on their transformation journey, starting by determining that the organization is fully committed to the journey, and helping to provide advisory and consultative services to demonstrate the business case and identify any challenges that will need to be overcome. 

“Partners are critical to ServiceNow’s growth strategy, on our journey to $16B in revenue and beyond,” said David Parsons, Senior Vice President of Global Alliances and Partner Ecosystem at ServiceNow. “Enabling great customer and employee experiences to faster time to value, we remain committed to engaging our partner ecosystem to innovate and co-create end-to-end solutions that solve today’s most pressing business challenges.” 

Exterprise works closely with clients to launch the digital transformation journey, identifying automation and integration opportunities and creating a strategic roadmap for the different departments, as well as training staff on how to use the platform. 

Exterprise helps in identifying key metrics around digital standards – including mean time to resolution (MTTR) for issues, customer satisfaction (CSAT), net promoter score (NPS) and first call resolution (FCR) for customer service. This ensures organizations realize the full value, both financially and in other, less tangible ways, of their investment. Exterprise is SOC2, ISO 27001 and HIPAA certified, which can give customers an added layer of reassurance. 

Ongoing reviews ensure businesses benefit from and understand any new functionality to keep enhancing the employee and customer experience, with ServiceNow introducing two major version upgrades each year. This ensures customers remain at the forefront of digital transformation, turning them from digital laggards to leaders. 

One example of a business that has benefited from running several business functions on the ServiceNow platform is pipeline services and equipment company T.D. Williamson. “Exterprise has proved to be an effective partner in not only implementing ServiceNow, but also in providing consultative and advisory support to help us automate core business processes,” says Greg Rice, Director, Global Applications. 

PK believes those who take the step to become a digital business can expect to benefit in several ways, including enhanced customer and employee experience, lower employee attrition rates, productivity benefits through process automation, and ultimately increased – and sustainable – revenue and profit. 

“The time to act is now,” concludes PK. “Those who do so can put in place the foundations that will deliver ongoing success in years to come, increasing efficiency and ensuring they have satisfied customers and employees. That’s the recipe for success.”

To find out more about how Exterprise could help your business, visit

To contact us, click here or email us at

Fri, 16 Dec 2022 14:47:00 -0600 text/html
Killexams : Folloze Wins 2023 MarTech Breakthrough Award

SAN MATEO, Calif.--(BUSINESS WIRE)--Aug 17, 2023--

Folloze, creator of the world’s first and only no-code B2B Buyer Experience Platform (BX 3.0), today announced it has been selected as a winner in the sixth annual MarTech Breakthrough Awards program in the category of “Best Campaign Landing Page Platform.” The MarTech Breakthrough Awards recognize the most innovative companies, products and solutions in the global marketing, sales and advertising technology field.

Folloze BX 3.0 fills a longstanding void in the industry by empowering B2B marketing and sales teams to build rich, customized experiences in less than 30 minutes. The platform is designed to help businesses do more with less and engage with buyers at the pace and relevancy required in today’s digital-first marketplace. Folloze BX 3.0 allows anyone to be creative, agile, and to get things done fast through a single platform built for a variety of use cases, including landing pages, nurture sites, virtual events, sales deal rooms, customer onboarding, partner co-marketing, and more, delivering true omni-channel engagement.

Folloze BX 3.0 ensures that a landing page isn’t just a destination, it’s the start of an ongoing, high value interaction for buyers guiding their own journeys. The platform allows all marketers in an organization to contribute to a connected experience for the buyer, leveraging first-party data and the AI content recommendation engine to deliver a personalized experience.

“It’s an honor to be recognized as the best campaign landing page platform for this year’s 2023 MarTech Breakthrough Awards,” said Etai Beck, Co-founder and Chief Executive Officer at Folloze. “At Folloze, we believe in a world where people are empowered to create impact at every digital touchpoint and produce better outcomes and more value for all. We’ve created the only digital experience platform that lets businesses move at market speed, and this award is a testament to that.”

Folloze BX 3.0 sets the standard for the next generation of B2B marketing with powerful tools that can scale from experience to personalization, to campaigns, to deep analytics. Traditionally, marketers have had to make broad assumptions about where to focus their attention. With Folloze BX 3.0, there’s no more guessing. Folloze BX 3.0 gives marketers the ability to move quickly and effectively meet every real opportunity in an ever-changing environment. First-party engagement insights show exactly what a buyer needs next, allowing marketers to increase the quality of personalization and immediately determine where the best opportunities are and prioritize team activity accordingly. In the end, meaningful buyer engagement data delivers a meaningful buyer experience that helps to accelerate the decision-making process.

Learn more about Folloze BX 3.0 here, or contact Folloze for specific pricing, promotional, and implementation details.

About Folloze

Folloze, creator of the world’s first and only no-code B2B Buyer Experience Platform (BX 3.0), is used by B2B marketing, sales, and revenue teams. Folloze BX 3.0 empowers any marketer to easily build data-driven, highly engaging, personalized content destinations across the entire B2B buyer journey to drive deeper account engagement and revenue growth. Top B2B brands, including ServiceNow, Google Cloud, Cisco, Autodesk, Gigamon, and UL trust Folloze to boost customer engagement, revenue growth, and expansion across their target accounts. To learn more, visit

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CONTACT: Carmen Mantalas



SOURCE: Folloze

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PUB: 08/17/2023 06:00 AM/DISC: 08/17/2023 06:01 AM

Copyright Business Wire 2023.

Wed, 16 Aug 2023 22:01:00 -0500 en text/html
Killexams : From Kharkiv to Kansas City

In the first six months following the Russian invasion last February, some 13 million people were displaced. It’s Europe’s largest refugee crisis since World War II. To respond to this vast and urgent demand for help, the U.S. government created a new visa program, Uniting for Ukraine, in April.

But the program requires something most refugees don’t have: a sponsor in the United States. How does a Ukrainian refugee find a sponsor in a country of 330 million strangers—especially if they’re 5,000 miles away, hiding in a bomb shelter? Especially if they don’t speak any English? And if you’re an American volunteer, how can you safely make contact with a Ukrainian who’s seeking your help?

With these questions in mind, Welcome.US, a non-profit initiative working to expand capacity to welcome newcomers to the United States through the increased and direct involvement of Americans, approached Goldman Sachs to propose they collaborate on a similar project for Ukrainians. A team of engineers at Goldman, led by a Ukrainian American refugee and a Russian American refugee, sought consulting advice on the project from Infosys and enlisted software company ServiceNow to build the website. From the final design to the day it went live, making Welcome Connect took just two and a half weeks—thanks to ServiceNow’s low-code platform, which can be swiftly customized, scaled, and implemented.

Welcome Connect bypasses barriers of distance, red tape, and language by matching Ukrainian refugees with Americans seeking to sponsor them. Within days of the site’s launch, some 5,000 Ukrainians were already communicating on it with prospective American sponsors, using its instantaneous text-message-translation feature.

While tens of thousands of Ukrainians have been granted parole in the United States, there are still thousands more in need of refuge as the war wages on with no end in sight. This is the story of two families: the Yeremenkos, of Kharkiv, Ukraine, and the Teiglands, of Kansas City, Missouri.

Mon, 31 Oct 2022 06:50:00 -0500 en text/html
Killexams : Orica finds its next group CIO

Orica has named Rachael Sandel as its new group chief information officer, replacing Chris Crozier who was appointed Defence’s CIO last month

Orica finds its next group CIO

Orica group chief information officer Rachael Sandel

The company, best known as a manufacturer of explosives and blasting systems used in mining, told iTnews Sandel’s role is part of Orica’s technology and innovation leadership team, and that she will report to chief technology officer Angus Melbourne.

Sandel is set to focus on facilitating a "major upgrade" to the company's SAP S/4 HANA enterprise resource planning (ERP) system.

She will also work to "enhance cyber security across IT, customer systems and OT, while utilising innovative technology solutions to uplift productivity in Orica with automation, AI and data analytics,” an Orica spokesperson told iTnews.

The spokesperson said that manager of workplace and end-user compute Adam Murray is acting in Sandel’s previous role at Orica - as head of digital workspace - while it seeks a permanent replacement.

According to the ASX-listed company’s job posting, the head of digital workspace will “collaborate with the architecture team” to plan and define “key initiatives” and the “roadmap for digital workplace services.”

The successful candidate will also be responsible for “the governance, design, implementation, management of change, lifecycle, development and support of Orica digital workplace technologies and cloud-based IT and business applications that include ServiceNow and Microsoft 365."

The Orica spokesperson told iTnews that Sandel’s “internal promotion into the leadership team, is a great example of the diverse leadership, learning and development pathways available at Orica."

“Rachael joined Orica in mid-2019 as the head of IT strategy and governance, based out of Melbourne," the spokesperson said.

“During her time at Orica, she’s held multiple roles that involve leading global teams across IT projects, engineering and operations.”

She was promoted to head of strategy, architecture and projects in 2020 and to head of digital workspace last year.

“She has an extensive track record of delivering large-scale digital transformation and complex technology programs across many sectors," the spokesperson said.

Before Orica, Sandel worked as NAB's head of management assurance for infrastructure, cloud and workplace, and has also worked for Deloitte and ANZ.

Sun, 13 Aug 2023 07:48:00 -0500 text/html
Killexams : What Two New Studies Reveal About Learning Recovery

Two new studies shed light on the promise—and challenges—of learning recovery strategies that schools adopted in the wake of the pandemic.

The key theme from the research is as much a truism as it is a prescription: Getting the implementation right really matters. And it’s also difficult.

One working paper , from researchers at the American Institutes for Research, Harvard University, and the assessment provider NWEA, analyzed eight districts’ summer 2022 learning programs. Researchers found that the programs had a small but positive effect on student math scores, and no effect on reading.

Another working paper, from researchers at Vanderbilt University and Stanford University, examined tutoring programs —specifically, what conditions led to successful implementation. They identified some commonalities: Programs that functioned well had the support of school leaders and a structured process for recruiting tutors and managing logistics.

Together, the two studies underscore that academic recovery strategies require sustained, coordinated effort, said Susanna Loeb, a professor in the Graduate School of Education at Stanford, and one of the authors on the tutoring study.

“Anything that you’re going to do in schools, whether it is high-impact tutoring or a summer program, in order to have the kinds of impact that we need to get students engaged in school and learning at a faster pace, … you’re going to need a lot of effort into implementation,” Loeb said.

Giving students many and varied opportunities for extra learning is important, too, said Emily Morton, a researcher at AIR’s National Center for Analysis of Longitudinal Data in Education Research and one of the authors on the summer learning study.

The summer programs, which included time for academic instruction and enrichment activities, helped students make “marginal progress”—progress that is meaningful, she said.

“This is some of the very first good news we’re getting on any COVID recovery,” Morton said. Still, she added, “layering supports is going to be essential. Students can’t just get summer school.”

Districts have used federal COVID relief funds to support summer programs, tutoring initiatives, and other academic recovery plans—money that runs out in September 2024.

But maintaining multiple options for students requires funding and resources, Morton said. “To be able to do that, they’re going to need support from states and even from the federal government.”

Summer programs show small gains in math

The summer school study focused on summer learning programs in eight school districts. All of these districts served higher percentages of Black and Hispanic students and higher percentages of students eligible for free- and reduced-price lunch than the national average.

The researchers compared students who were eligible to attend summer school and did attend to students who were eligible but did not attend. They controlled for students’ characteristics, including race and free- and reduced-price lunch status, and their spring 2022 achievement levels.

Students who attended summer programs scored higher on an assessment of their math skills than students who did not. The researchers found a small, but positive, effect of summer learning on math achievement—0.03 of a standard deviation, which they estimated would mitigate about 2-3 percent of the total learning loss experienced in those districts. Most of this improvement was driven by upper elementary students.

The researchers found no effect for summer school in reading.

The programs did help students get extra learning time—the researchers found that each day of summer school produced academic gains roughly equivalent to each day of a regular school year. But these gains only made a tiny dent in academic recovery writ large.

Programs in the study were between 15-20 days long. On average, only 25 percent of targeted students participated. “There’s an opportunity here to scale summer school more widely, and potentially to make it longer,” said Morton.

These kinds of changes would bring programs more in line with summer learning best practices, said Jodi Grant, the executive director of the Afterschool Alliance, an advocacy organization. Grant was not involved in the study.

“Even with intense support, it’s really hard to move the needle over a short period of time,” she said.

Grant also cited research-backed recommendations that summer learning should include opportunities for enrichment activities—not only academics. Doing so can make summer programs more attractive; they shouldn’t have to feel like a “punishment,” she said.

Conditions for effective tutoring programs

Designing an effective program is the first step. Implementing that program presents a whole new set of challenges.

This piece of the puzzle—implementation—is the focus on the working paper on tutoring.

“We know this intervention is really, really effective,” said Loeb. “But what hasn’t gotten nearly as much attention is that it’s not that easy to implement.”

Researchers reviewed 33 articles published since 2000. They found strong implementation relied in large part on the buy-in of principals and school leaders.

“Education leaders served as gatekeepers of student and staff time, school space, and data/documentation on students’ skills and instructional needs,” the researchers wrote.

Having a dedicated and informed program manager was important, too, Loeb said. “You really need someone at the district level who is kind of organizing the approach, making sure that it aligns with what we can see from the results are the most promising practices,” she said.

Program managers need to be compensated for the work they’re doing, she added. That money could come from new funding, or districts could reprioritize funds. “But you definitely need somebody who has paid time to do it, and who is really responsible [for] it,” she said. “You can’t just add to people’s work without taking something away.”

Meeting conditions like these has been challenging for school districts.

The National Center for Education Statistics’ School Pulse Survey, an ongoing study of how schools are changing since the pandemic, polled school leaders in December 2022 .

About a third of school leaders said they didn’t have the capacity to provide high-dosage tutoring to students who needed it. Two out of five schools said they couldn’t find time in their regular schedule for tutoring.

Still, Loeb said, better implementation is “not undoable.”

“Because it’s not easy,” she said, “we should be putting effort into thinking about the implementation process and really working on doing the implementation well.”

Thu, 10 Aug 2023 10:12:00 -0500 en text/html
Killexams : Microsoft Build brings AI tools to the forefront for developers – The … – Microsoft

| Frank X. Shaw – Chief Communications Officer, Microsoft
You only need two simple letters to accurately convey the major shift in the technology space this year: A and I. Beyond those letters, however, is a complex, evolving and exciting way in which we work, communicate and collaborate. As you will see, artificial intelligence is a common thread as we embark on Microsoft Build, our annual flagship event for developers.
It’s already been a landmark year for the industry, starting in January with the announcement of an extension of our partnership with OpenAI to accelerate AI breakthroughs and to ensure these benefits are broadly shared with the world. And in February, Microsoft announced an all-new, AI-powered Bing search engine and Edge browser to transform the largest software category in the world – search.
Since then, developments have accelerated at a rapid pace, with several key milestones along the way, including:
This is just the beginning of the new era of AI. That’s why Microsoft Build is so important. During this event, we’ll be showcasing how AI is redefining what and how developers build, as well as how AI is changing the future of work.
Before we get into the news, let’s talk about two concepts we are discussing at length during Microsoft Build: copilots and plugins.
A copilot is an application that uses modern AI and large language models (LLMs) like GPT-4 to assist people with complex tasks. Microsoft first introduced the concept of a copilot nearly two years ago with GitHub Copilot, an AI pair programmer that assists developers with writing code, and we continue to release copilots across many of the company’s core businesses.
We believe the copilot represents both a new paradigm in AI-powered software and a profound shift in the way that software is built – from imagining new product scenarios, to the user experience, the architecture, the services that it uses and how to think about safety and security.
Plugins are tools first introduced for ChatGPT, and more recently Bing, which augment the capabilities of AI systems, enabling them to interact with application programming interfaces (APIs) from other software and services to retrieve real-time information, incorporate company and other business data, perform new types of computations and safely take action on the user’s behalf. Think of plugins as the connection between copilots and the rest of the digital world.
With that said, let’s focus on the news and announcements we’re unveiling during Microsoft Build.
Growing the AI plugin ecosystem
Microsoft is announcing that we will adopt the same open plugin standard that OpenAI introduced for ChatGPT, enabling interoperability across ChatGPT and the breadth of Microsoft’s copilot offerings.
Developers can now use one platform to build plugins that work across both consumer and business surfaces, including ChatGPT, Bing, Dynamics 365 Copilot and Microsoft 365 Copilot.
And if you want to develop and use your own plugins with your AI application built on Azure OpenAI Service, it will, by default, be interoperable with this same plugin standard. This means developers can build experiences that enable people to interact with their apps using the most natural user interface: the human language.
As part of this shared plugin platform, Bing is adding to its support for plugins. In addition to previously announced plugins for OpenTable and Wolfram Alpha, we will also have Expedia, Instacart, Kayak, Klarna, Redfin and Zillow, among many others in the Bing ecosystem.
In addition to the common plugin platform, Microsoft is announcing that Bing is coming to ChatGPT as the default search experience. ChatGPT will now have a world-class search engine built-in to provide more up-to-date answers with access from the web. Now, answers are grounded by search and web data and include citations so users can learn more, all directly from within chat. The new experience is rolling out to ChatGPT Plus subscribers starting today and will be available to free users soon by simply enabling a plugin.
Developers can now extend Microsoft 365 Copilot with plugins 
We’re also announcing that developers can now integrate their apps and services into Microsoft 365 Copilot with plugins.
Plugins for Microsoft 365 Copilot include ChatGPT and Bing plugins, as well as Teams message extensions and Power Platform connectors – enabling developers to leverage their existing investments. And developers will be able to easily build new plugins for Microsoft 365 Copilot with the Microsoft Teams Toolkit for Visual Studio Code and Visual Studio. Developers can also extend Microsoft 365 Copilot by bringing their data into the Microsoft Graph, contextualizing relevant and actionable information with the recently announced Semantic Index for Copilot.
More than 50 plugins from partners will be available for customers as part of the early access program, including Atlassian, Adobe, ServiceNow, Thomson Reuters, Moveworks and Mural, with thousands more available by the general availability of Microsoft 365 Copilot.
New Azure AI tooling to help developers build, operationalize deploy their own next-generation AI apps
It starts with our new Azure AI Studio. We’re making it simple to integrate external data sources into Azure OpenAI Service. In addition, we’re excited to introduce Azure Machine Learning prompt flow to make it easier for developers to construct prompts while taking advantage of popular open-source prompt orchestration solutions like Semantic Kernel.
In Azure OpenAI Service, which brings together advanced models including ChatGPT and GPT-4, with the enterprise capabilities of Azure, we’re announcing updates to enable developers to deploy the most cutting-edge AI models using their own data; a Provisioned Throughput SKU that offers dedicated capacity; and plugins that simplify integrating other external data sources into a customer’s use of Azure OpenAI Service. We now have more than 4,500 customers using Azure OpenAI Service.
Building responsibly together
At Microsoft, we’ve been committed to developing AI technology that has a beneficial impact and earns trust, while also sharing our own learnings and building new tools and innovations that help developers and businesses implement responsible AI practices in their own work and organizations. At Build, we’re introducing several new updates, including Azure AI Content Safety, a new Azure AI service to help businesses create safer online environments and communities. As part of Microsoft’s commitment to building responsible AI systems, Azure AI Content Safety will be integrated across Microsoft products, including Azure OpenAI Service and Azure Machine Learning.
We’re also introducing new tools to Azure Machine Learning, including expanding Responsible AI dashboard support for text and image data, in preview, enabling users to evaluate large models built with unstructured data during the model building, training and/or evaluation stage. This helps users identify model errors, fairness issues and model explanations before models are deployed, for more performant and fair computer vision and natural language processing (NLP) models. And prompt flow, in preview soon, provides a streamlined experience for prompting, evaluating and tuning large language models. Users can quickly create prompt workflows that connect to various language models and data sources and assess the quality of their workflows with measurements such as groundedness to choose the best prompt for their use case. Prompt flow also integrates Azure AI Content Safety to help users detect and remove harmful content directly in their flow of work.
In addition, Microsoft announced new media provenance capabilities coming to Microsoft Designer and Bing Image Creator in the coming months that will enable users to verify whether an image or video was generated by AI. The technology uses cryptographic methods to mark and sign AI-generated content with metadata about its origin.
Introducing Microsoft Fabric, a new unified platform for analytics
Today’s world is awash with data, constantly streaming from the devices we use, the applications we build and the interactions we have. And now, as we enter a new era defined by AI, this data is becoming even more important. Powering organization-specific AI experiences requires a constant supply of clean data from a well-managed and highly integrated analytics system. But most organizations’ analytics systems are a labyrinth of specialized and disconnected services.
Microsoft Fabric is a unified platform for analytics that includes data engineering, data integration, data warehousing, data science, real-time analytics, applied observability and business intelligence, all connected to a single data repository called OneLake.
It enables customers of all technical levels to experience capabilities in a single, unified experience. It is infused with Azure OpenAI Service at every layer to help customers unlock the full potential of their data, enabling developers to leverage the power of generative AI to find insights in their data.
With Copilot in Microsoft Fabric in every data experience, customers can use conversational language to create dataflows and data pipelines, generate code and entire functions, build machine learning models or visualize results. Customers can even create their own conversational language experiences that combine Azure OpenAI Service models and their data and publish them as plugins.
Accelerating an AI-powered future through partners
Our customers benefit from our partner collaborations, such as with NVIDIA, that enable organizations to design, develop, deploy and manage applications with the scale and security of Azure. NVIDIA will accelerate enterprise-ready generative AI with NVIDIA AI Enterprise Integration with Azure Machine Learning. Omniverse Cloud, only available on Azure, enables organizations to aggregate data into massive, high-performance models, connect their domain-specific software tools and enable multi-user live collaboration across factory locations. NVIDIA GPUs leveraging ONNX Runtime & Olive toolchain will support the implementation of accelerating AI models without needing a deeper knowledge of the hardware.
New capabilities for Microsoft Dev Box
Microsoft Dev Box, an Azure service that gives developers access to ready-to-code, project-specific dev boxes that are preconfigured and centrally managed, is introducing several new capabilities to enhance the developer experience and boost productivity. While in preview, we’ve seen many customers experimenting with Dev Box, and we’ve migrated more than 9,000 developers internally to the service for day-to-day software development.
Now, we’ve added additional features and capabilities, including customization using configuration-as-code and new starter developer images in Azure Marketplace that provide dev teams with ready-to-use images that can be customized further for specific dev team needs. Additionally, developers can now manage custom environments from a specialized developer portal, Azure Deployment Environments. Dev Box general availability will begin in July.
Unveiling a new home for developers on Windows 11 with Dev Home 
Dev Home will launch at Microsoft Build in preview as a new Windows experience developers can get from the Microsoft Store.
Dev Home makes it easy to connect to GitHub and configure cloud development environments like Microsoft Dev Box and GitHub Codespaces. Dev Home is open source and fully extensible, enabling developers to enhance their experience with a customizable dashboard and the tools they need to be successful.
Introducing Windows Copilot for Windows 11
Last fall at our Windows and Surface launch, Chief Product Officer Panos Panay talked about the power of AI to unlock new interaction models on the PC with Windows Studio Effects and DALL-E 2 in Microsoft Designer, and at CES he talked about how AI is going to reinvent the way people get things done on Windows.
This brings us to Windows Copilot.
Windows will be the first PC platform to centralize AI assistance with the introduction of Windows Copilot. Together, with Bing Chat and first- and third-party plugins, users can focus on bringing their ideas to life, completing complex projects and collaborating instead of spending energy finding, launching and working across multiple applications.
This builds on the integration we released into Windows 11 back in February that brought the new AI-powered Bing to the taskbar.
A preview of Windows Copilot will start to become available for Windows 11 in June.
As you can see, it’s going to be a busy time at Microsoft Build. To give you a sense of what developers are going to experience at the event, we’re expecting approximately 200,000 registered attendees, with 350 sessions and more than 125 hours of content over two days. In total, we’ll announce more than 50 new products and features.
For more information, make sure to watch keynotes on demand from Microsoft Chairman and CEO Satya Nadella, Kevin Scott and Scott Guthrie on Day 1. On Day 2, watch the keynotes anchored by Rajesh Jha and Panos Panay. Additionally, you can explore all the news and announcements in the Book of News and read more stories and news about products from Microsoft Build here:
Watch Microsoft Build keynotes and view videos and photos
Microsoft outlines framework for building AI apps and copilots; expands AI plugin ecosystem
Bing at Microsoft Build 2023: Continuing the Transformation of Search
Empowering every developer with plugins for Microsoft 365 Copilot
Bringing the power of AI to Windows 11 – unlocking a new era of productivity for customers and developers with Windows Copilot and Dev Home
Build next-generation, AI-powered applications on Microsoft Azure
Introducing Microsoft Fabric: Data analytics for the era of AI
Tags: AI, Azure AI Content Safety, Azure OpenAI Service, Bing, copilots, developers, Microsoft 365 Copilot, Microsoft Build, plugins, Windows 11
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Tue, 22 Aug 2023 06:32:00 -0500 Aabha Sharma en-US text/html
Killexams : Future of Learning: 12 ways ChatGPT implementation will reshape education No result found, try new keyword!As per Dr. Ramakrishnan Raman, Director, SIBM Pune, here are the ways ChatGPT implementation may impact education: ChatGPT can offer students a personalised and engaging learning environment. Sun, 02 Jul 2023 22:15:00 -0500 en-us text/html Killexams : What can we learn one year after NIL's implementation? | College Football Today Killexams : What can we learn one year after NIL's implementation? | College Football Today -

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Wed, 22 Mar 2023 12:24:00 -0500 en text/html
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