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According to the 2022 IBM Institute for Business Value study on AI Ethics in Action, building trustworthy Artificial Intelligence (AI) is perceived as a strategic differentiator and organizations are beginning to implement AI ethics mechanisms.

Seventy-five percent of respondents believe that ethics is a source of competitive differentiation. More than 67% of respondents who view AI and AI ethics as important indicate that their organizations outperform their peers in sustainability, social responsibility, and diversity and inclusion.

The survey showed that 79% of CEOs are prepared to embed AI ethics into their AI practices, up from 20% in 2018, but less than a quarter of responding organizations have operationalized AI ethics. Less than 20% of respondents strongly agreed that their organization's practices and actions match (or exceed) their stated principles and values.

Peter Bernard, CEO of Datagration, says that understanding AI gives companies an advantage, but Bernard adds that explainable AI allows businesses to optimize their data.

"Not only are they able to explain and understand the AI/ML behind predictions, but when errors arise, they can understand where to go back and make improvements," said Bernard. "A deeper understanding of AI/ML allows businesses to know whether their AI/ML is making valuable predictions or whether they should be improved."

Bernard believes this can ensure incorrect data is spotted early on and stopped before decisions are made.

Avivah Litan, vice president and distinguished analyst at Gartner, says that explainable AI also furthers scientific discovery as scientists and other business users can explore what the AI model does in various circumstances.

"They can work with the models directly instead of relying only on what predictions are generated given a certain set of inputs," said Litan.

But John Thomas, Vice President and Distinguished Engineer in IBM Expert Labs, says at its very basic level, explainable AI are the methods and processes for helping us understand a model's output. "In other words, it's the effort to build AI that can explain to designers and users why it made the decision it did based on the data that was put into it," said Thomas.

Thomas says there are many reasons why explainable AI is urgently needed.

"One reason is model drift. Over time as more and more data is fed into a given model, this new data can influence the model in ways you may not have intended," said Thomas. "If we can understand why an AI is making certain decisions, we can do much more to keep its outputs consistent and trustworthy over its lifecycle."

Thomas adds that at a practical level, we can use explainable AI to make models more accurate and refined in the first place. "As AI becomes more embedded in our lives in more impactful ways, [..] we're going to need not only governance and regulatory tools to protect consumers from adverse effects, we're going to need technical solutions as well," said Thomas.

"AI is becoming more pervasive, yet most organizations cannot interpret or explain what their models are doing," said Litan. "And the increasing dependence on AI escalates the impact of mis-performing AI models with severely negative consequences," said Litan.

Bernard takes it back to a practical level, saying that explainable AI [..] creates proof of what senior engineers and experts "know" intuitively and explaining the reasoning behind it simultaneously. "Explainable AI can also take commonly held beliefs and prove that the data does not back it up," said Bernard.

"Explainable AI lets us troubleshoot how an AI is making decisions and interpreting data is an extremely important tool in helping us ensure AI is helping everyone, not just a narrow few," said Thomas.

Hiring is an example of where explainable AI can help everyone.

Thomas says hiring managers deal with all kinds of hiring and talent shortages and usually get more applications than they can read thoroughly. This means there is a strong demand to be able to evaluate and screen applicants algorithmically.

"Of course, we know this can introduce bias into hiring decisions, as well as overlook a lot of people who might be compelling candidates with unconventional backgrounds," said Thomas. "Explainable AI is an ideal solution for these sorts of problems because it would allow you to understand why a model rejected a certain applicant and accepted another. It helps you make your make model better.”

Making AI trustworthy

IBM's AI Ethics survey showed that 85% of IT professionals agree that consumers are more likely to choose a company that's transparent about how its AI models are built, managed and used.

Thomas says explainable AI is absolutely a response to concerns about understanding and being able to trust AI's results.

"There's a broad consensus among people using AI that you need to take steps to explain how you're using it to customers and consumers," said Thomas. "At the same time, the field of AI Ethics as a practice is relatively new, so most companies, even large ones, don't have a Head of AI ethics, and they don't have the skills they need to build an ethics panel in-house."

Thomas believes it's essential that companies begin thinking about building those governance structures. "But there also a need for technical solutions that can help companies manage their use of AI responsibly," said Thomas.

Driven by industry, compliance or everything?

Bernard points to the oil and gas industry as why explainable AI is necessary.

"Oil and gas have [..] a level of engineering complexity, and very few industries apply engineering and data at such a deep and constant level like this industry," said Bernard. "From the reservoir to the surface, every aspect is an engineering challenge with millions of data points and different approaches."

Bernard says in this industry, operators and companies still utilize spreadsheets and other home-grown systems-built decades ago. "Utilizing ML enables them to take siloed knowledge, Excellerate it and create something transferrable across the organization, allowing consistency in decision making and process."

"When oil and gas companies can perform more efficiently, it is a win for everyone," said Bernard. "The companies see the impact in their bottom line by producing more from their existing assets, lowering environmental impact, and doing more with less manpower."

Bernard says this leads to more supply to help ease the burden on demand. "Even modest increases like 10% improvement in production can have a massive impact in supply, the more production we have [..] consumers will see relief at the pump."

But Litan says the trend toward explainable AI is mainly driven by regulatory compliance.

In a 2021 Gartner survey, AI in Organizations reported that regulatory compliance is the top reason privacy, security and risk are barriers to AI implementation.

"Regulators are demanding AI model transparency and proof that models are not generating biased decisions and unfair 'irresponsible' policies," said Litan. "AI privacy, security and/or risk management starts with AI explainability, which is a required baseline."

Litan says Gartner sees the biggest uptake of explainable AI in regulated industries like healthcare and financial services. "But we also see it increasingly with technology service providers that use AI models, notably in security or other scenarios," said Litan.

Litan adds that another reason explainable AI is trending is that organizations are unprepared to manage AI risks and often cut corners around model governance. "Organizations that adopt AI trust, risk and security management – which starts with inventorying AI models and explaining them – get better business results," adds Litan.

But IBM's Thomas doesn't think you can parse the uptake of explainable AI by industry.

"What makes a company interested in explainable AI isn't necessarily the industry they're in; they're invested in AI in the first place," said Thomas. "IT professionals at businesses deploying AI are 17% more likely to report that their business values AI explainability. Once you get beyond exploration and into the deployment phase, explaining what your models are doing and why quickly becomes very important to you."

Thomas says that IBM sees some compelling use cases in specific industries starting with medical research.

"There is a lot of excitement about the potential for AI to accelerate the pace of discovery by making medical research easier," said Thomas. "But, even if AI can do a lot of heavy lifting, there is still skepticism among doctors and researchers about the results."

Thomas says explainable AI has been a powerful solution to that particular problem, allowing researchers to embrace AI modeling to help them solve healthcare-related challenges because they can refine their models, control for bias and monitor the results.

"That trust makes it much easier for them to build models more quickly and feel comfortable using them to inform their care for patients," said Thomas.

IBM worked with Highmark Health to build a model using claims data to model sepsis and COVID-19 risk. But again, Thomas adds that because it's a tool for refining and monitoring how your AI models perform, explainable AI shouldn't be restricted to any particular industry or use case.

"We have airlines who use explainable AI to ensure their AI is doing a good job predicting plane departure times. In financial services and insurance, companies are using explainable AI to make sure they are making fair decisions about loan rates and premiums," said Thomas. "This is a technical component that will be critical for anyone getting serious about using AI at scale, regardless of what industry they are in."

Guard rails for AI ethics

What does the future look like with AI ethics and explainable AI?

Thomas says the hope is that explainable AI will spread and see adoption because that will be a sign companies take trustworthy AI, both the governance and the technical components, very seriously.

He also sees explainable AI as essential guardrails for AI Ethics down the road.

"When we started putting seatbelts in cars, a lot more people started driving, but we also saw fewer and less severe accidents," said Thomas. "That's the obvious hope - that we can make the benefits of this new technology much more widely available while also taking the needed steps to ensure we are not introducing unanticipated consequences or harms."

One of the most significant factors working against the adoption of AI and its productivity gains is the genuine need to address concerns about how AI is used, what types of data are being collected about people, and whether AI will put them out of a job.

But Thomas says that worry is contrary to what’s happening today. "AI is augmenting what humans can accomplish, from helping researchers conduct studies faster to assisting bankers in designing fairer and more efficient loans to helping technicians inspect and fix equipment more quickly," said Thomas. "Explainable AI is one of the most important ways we are helping consumers understand that, so a user can say with a much greater degree of certainty that no, this AI isn't introducing bias, and here's exactly why and what this model is really doing."

One tangible example IBM uses is AI Factsheets in their IBM Cloud Pak for Data. IBM describes the factsheets as 'nutrition labels' for AI, which allows them to list the types of data and algorithms that make up a particular in the same way a food item lists its ingredients.

"To achieve trustworthy AI at scale, it takes more than one company or organization to lead the charge,” said Thomas. “AI should come from a diversity of datasets, diversity in practitioners, and a diverse partner ecosystem so that we have continuous feedback and improvement.”

Wed, 27 Jul 2022 12:00:00 -0500 Jennifer Kite-Powell en text/html https://www.forbes.com/sites/jenniferhicks/2022/07/28/explainable-ai-is--trending-and-heres-why/
Killexams : HR Analytics Consulting Service Market to Witness Huge Growth by 2027: IBM, Crunchr, Visier

This press release was orginally distributed by SBWire

Edison, NJ — (SBWIRE) — 08/03/2022 — The latest study released on the Global HR Analytics Consulting Service Market by AMA Research evaluates market size, trend, and forecast to 2027. The HR Analytics Consulting Service market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key Players in This Report Include:
Oracle (United States),SAP (Germany),Infor (United States),Workday (United States),Sage Software (United Kingdom),Kronos (United States),MicroStrategy (United States),IBM (United States),Tableau (United States),Zoho (India),Crunchr (Netherland),Visier (Canada),TALENTSOFT (Paris)

Download demo Report PDF (Including Full TOC, Table & Figures) @ https://www.advancemarketanalytics.com/sample-report/132661-global-hr-analytics-consulting-service-market

Definition:
Personnel analysis consultants provide companies with analytical expertise to optimize important business processes. With a thorough understanding of HR analysis, consultants can provide insights and solutions that may not be apparent to company employees. Organizations typically work with HR analytics consultants to collect and analyze data to Excellerate productivity and reduce costs. HR Analytics consultants combine business data with personal data to identify inefficiencies, predict productivity, and optimize workforce organization. These advisors provide companies with the insights they need to manage their human capital and Excellerate their return on investment. You can also let management know how political and structural changes affect morale and performance. In general, HR analytics consultants work directly with the hiring manager, HR department, or personnel. To qualify for inclusion in the HR Analytics Consultants category, a service provider must create and implement a process for HR operational analysis and reporting, work closely with the HR department or staff to understand the company's needs and Create New Ways to Maximize Requirements Leverage analytics and reporting, direct implementation of data analytics, reporting, and dashboarding, and use analytical results to create actionable recommendations and optimize key business processes.

Market Trends:
– The Growing Need among Enterprises to Reduce the Costs Associated With HR Processes and Streamline the HR Processes
– Implementation of Artificial Intelligence in HR Technology Solutions

Market Drivers:
– Increasing Automation in HR Process Owing to Growing Adoption of Automation Technologies
– Growing Demand for Efficient Management of the Operations Such as Talent Acquisition & Performance Management

Market Opportunities:
– Rising Technological Innovations and an Early Adopter of New Technologies in HR Analytics Consulting Services
– A Rise in Demand for Cloud-based HR Technologies & Mobile Solutions

The Global HR Analytics Consulting Service Market segments and Market Data Break Down are illuminated below:
by Type (Implementation and Integration, Advisory, Support and Maintenance), Application (Payroll, Retention, Recruitment, Workforce Management, Employee Engagement), Organization Size (Large enterprises, Small and Medium-sized Enterprises (SMEs)), Industry Vertical (Consumer goods and retail, BFSI, IT and telecom, Manufacturing, Healthcare, Education, Others)

Global HR Analytics Consulting Service market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

Have a query? Market an enquiry before purchase @ https://www.advancemarketanalytics.com/enquiry-before-buy/132661-global-hr-analytics-consulting-service-market

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
– The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
– North America (United States, Mexico & Canada)
– South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
– Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
– Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report
– -To carefully analyze and forecast the size of the HR Analytics Consulting Service market by value and volume.
– -To estimate the market shares of major segments of the HR Analytics Consulting Service market.
– -To showcase the development of the HR Analytics Consulting Service market in different parts of the world.
– -To analyze and study micro-markets in terms of their contributions to the HR Analytics Consulting Service market, their prospects, and individual growth trends.
– -To offer precise and useful details about factors affecting the growth of the HR Analytics Consulting Service market.
– -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the HR Analytics Consulting Service market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Buy Complete Assessment of HR Analytics Consulting Service market Now @ https://www.advancemarketanalytics.com/buy-now?format=1&report=132661

Major highlights from Table of Contents:
HR Analytics Consulting Service Market Study Coverage:
– It includes major manufacturers, emerging player's growth story, and major business segments of HR Analytics Consulting Service market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
– HR Analytics Consulting Service Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
– HR Analytics Consulting Service Market Production by Region HR Analytics Consulting Service Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
– Key Points Covered in HR Analytics Consulting Service Market Report:
– HR Analytics Consulting Service Overview, Definition and Classification Market drivers and barriers
– HR Analytics Consulting Service Market Competition by Manufacturers
– Impact Analysis of COVID-19 on HR Analytics Consulting Service Market
– HR Analytics Consulting Service Capacity, Production, Revenue (Value) by Region (2022-2027)
– HR Analytics Consulting Service Supply (Production), Consumption, Export, Import by Region (2022-2027)
– HR Analytics Consulting Service Production, Revenue (Value), Price Trend by Type {Implementation and Integration,Advisory,Support and Maintenance}
– HR Analytics Consulting Service Market Analysis by Application {Payroll,Retention,Recruitment,Workforce Management,Employee Engagement}
– HR Analytics Consulting Service Manufacturers Profiles/Analysis HR Analytics Consulting Service Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
– Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Browse Complete Summary and Table of Content @ https://www.advancemarketanalytics.com/reports/132661-global-hr-analytics-consulting-service-market

Key questions answered
– How feasible is HR Analytics Consulting Service market for long-term investment?
– What are influencing factors driving the demand for HR Analytics Consulting Service near future?
– What is the impact analysis of various factors in the Global HR Analytics Consulting Service market growth?
– What are the accurate trends in the regional market and how successful they are?

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Asia.

Contact US:
Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA – 08837
Phone: +1 (206) 317 1218
[email protected]

For more information on this press release visit: http://www.sbwire.com/press-releases/hr-analytics-consulting-service-market-to-witness-huge-growth-by-2027-ibm-crunchr-visier-1361611.htm

Wed, 03 Aug 2022 05:17:00 -0500 ReleaseWire en-US text/html https://www.digitaljournal.com/pr/hr-analytics-consulting-service-market-to-witness-huge-growth-by-2027-ibm-crunchr-visier
Killexams : AI Tech Stocks and the Growing Implementation in the Sports Market

Vancouver, Kelowna and Delta, British Columbia--(Newsfile Corp. - July 21, 2022) - Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) stocks releases a sector snapshot looking at the growing AI tech implementation in the sports market, featuring AI innovator GBT Technologies Inc. (OTC Pink: GTCH).

Read the full article at Investorideas.com

As with so many other sectors, the sports industry is seeing increasing penetration of Artificial Intelligence (AI) related technologies as aspects of the medium become more and more digitized. A recently published report from Vantage Market Research finds that the global market for AI in Sports is projected to grow from $1.62 billion USD in 2021 to $7.75 billion by 2028, registering a compound annual growth rate (CAGR) of 29.7 percent in the forecast period 2022-28. According to a market synopsis from the report, AI is being leveraged by a number of firms to track player performance, Excellerate the player's health, and to Excellerate sports planning.

One such firm is GBT Technologies Inc. (OTC Pink: GTCH), an early stage technology developer in IoT and Artificial Intelligence (AI) Enabled Mobile Technology Platforms, which recently completed phase one of its intelligent soccer analytics platform through its 50 percent-owned joint venture GBT Tokenize Corp. (GTC). Given the internal codename of smartGOAL, the platform is "an intelligent, automatic analytics and prediction system for soccer game's results," which works by analyzing and predicting "possible outcomes of soccer games results according to permutations, statistics, historical data, using advanced mathematical methods and machine learning technology." GBT's CTO, Danny Rittman, explained:

"Considering the popularity of the game in the present world, we believe organizations will be interested in prediction systems for the better performance of their teams. As interesting as it may seem, prediction of the results of a soccer game is a very hard task and involves a large amount of uncertainty. However, it can be said that the result of football is not a completely random event, and hence, we believe a few hidden patterns in the game can be utilized to potentially predict the outcome. Based on the studies of numerous researchers that are being reviewed in our study as well as those done in the previous years, one can say that with a sufficient amount of data an accurate prediction system can be built using various machine learning algorithms. While each algorithm has its advantages and disadvantages, a hybrid system that consists of more than one algorithm can be made with the goal of increasing the efficiency of the system as a whole. There also is a need for a comprehensive dataset through which better results can be obtained. Experts can work more toward gathering data related to different leagues and championships across the globe which may help in better understanding of the prediction system. Moreover, the distinctive characteristics of a soccer player, as well as that of the team, can also be taken into consideration while predicting as this may produce a better result as compared to when all the players in a game are treated to be having an equal effect on the game. The more information the system is trained with, we believe the more accurate the predictions and analysis will be. One of our joint venture companies, GTC, aimed to evaluate machine learning-driven applications in various fields, among them are entertainment, media and sports. We believe smartGOAL is an intelligent application that has the ability to change the world's soccer field when it comes to analytics and game score predictions."

Elsewhere, Amazon Web Services (AWS), a subsidiary of tech giant Amazon announced a collaboration with Maple Leaf Sports & Entertainment (MLSE), a sports and entertainment company that owns a host of Toronto-based sports franchises, to innovate the creation and delivery of "extraordinary sports moments and enhanced fan engagement." This will see MLSE utilize AWS AI, machine learning (ML), and deep learning cloud services to support their teams, lines of business, and how fans connect with each other and experience games. Humza Teherany, Chief Technology & Digital Officer at MLSE, commented:

"We built Digital Labs at MLSE to become the most technologically advanced organization in sport. As technology advances and how we watch and consume sports evolves, MLSE is dedicated to creating solutions and products that drive this evolution and elevate the fan experience. We aim to offer new ways for fans to connect digitally with their favorite teams while also seeking to uncover digital sports performance opportunities in collaboration with our front offices. With AWS's advanced machine learning and analytics services, we can use data with our teams to help inform areas such as: team selection, training and strategy to deliver an even higher caliber of competition. Taking a cloud-first approach to innovation with AWS further empowers our organization to experiment with new ideas that can help our teams perform their very best and our fans feel a closer connection to the action."

Similarly, IBM, the "Official Technology Partner of The [tennis] Championships for the past 33-years, has recently, alongside the All England Lawn Tennis Club, unveiled "new ways for Wimbledon fans around the world to experience The Championships digitally, powered by artificial intelligence (AI) running on IBM Cloud and hybrid cloud technologies." Kevin Farrar, Sports Partnership Leader, IBM UK & Ireland, explained:

"The digital fan features on the Wimbledon app and Wimbledon.com, beautifully designed by the IBM iX team and powered by AI and hybrid cloud technologies, are enabling the All England Club to immerse tennis lovers in the magic of The Championship, no matter where they are in the world. Sports fans love to debate and we're excited to introduce a new tool this year to enable that by allowing people to register their own match predictions and compare them with predictions generated by Match Insights with Watson and those of other fans."

Another firm cited in the Vantage Market Research report on AI in Sports was sports performance tech firm Catapult Group International Limited, who recently reported a multi-year deal with the German Football Association (DFB-Akademie) to "capture performance data via video, track athlete performance via wearables, and Excellerate the analysis infrastructure at all levels of the German National Football Teams." Will Lopes, CEO of Catapult, commented:

"We strive every day to unleash the potential of every athlete and team, and we're proud to partner with the prestigious German Football Association to fulfill that ambition. We're looking forward to partnering with the DFB to unlock what even the best coaches in the world cannot see on film or from the sidelines. This technology will empower athletes at all levels with data and insights to perform at their best."

With the seemingly inexorable tendency toward digitization in the presentation and analysis of sports, the accompanying use of AI-related technologies seems equally inevitable as is already borne out by current industry trends.

For a list of artificial intelligence stocks on Investorideas.com visit here.

About GBT Technologies Inc.

GBT Technologies, Inc. (OTC Pink: GTCH) ("GBT") (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT's mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT's goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT's vision is to produce this system as a low cost, secure, private-mesh-network between any and all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.

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Investorideas.com publishes breaking stock news, third party stock research, guest posts and original articles and podcasts in leading stock sectors. Learn about investing in stocks and get investor ideas in cannabis, crypto, AI and IoT, mining, sports biotech, water, renewable energy, gaming and more. Investor Idea's original branded content includes podcasts and columns : Crypto Corner , Play by Play sports and stock news , Investor Ideas Potcasts Cannabis News and Stocks on the Move podcast , Cleantech and Climate Change , Exploring Mining , Betting on Gaming Stocks Podcast and the AI Eye Podcast.

Disclaimer/Disclosure: Investorideas.com is a digital publisher of third party sourced news, articles and equity research as well as creates original content, including video, interviews and articles. Original content created by investorideas is protected by copyright laws other than syndication rights. Our site does not make recommendations for purchases or sale of stocks, services or products. Nothing on our sites should be construed as an offer or solicitation to buy or sell products or securities. All investing involves risk and possible losses. This site is currently compensated for news publication and distribution, social media and marketing, content creation and more. Disclosure is posted for each compensated news release, content published /created if required but otherwise the news was not compensated for and was published for the sole interest of our readers and followers. Contact management and IR of each company directly regarding specific questions. Disclosure: GTCH is a paid featured monthly AI stock on Investorideas.com More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn more about publishing your news release and our other news services on the Investorideas.com newswire https://www.investorideas.com/News-Upload/ Global investors must adhere to regulations of each country. Please read Investorideas.com privacy policy: https://www.investorideas.com/About/Private_Policy.asp

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Thu, 21 Jul 2022 23:10:00 -0500 en-US text/html https://finance.yahoo.com/news/ai-tech-stocks-growing-implementation-120000467.html
Killexams : IBM Report: Consumers Pay the Price as Data Breach Costs Reach All-Time High No result found, try new keyword!said Charles Henderson, Global Head of IBM Security X-Force. "This report shows that the right strategies coupled with the right technologies can help make all the difference when businesses are ... Tue, 02 Aug 2022 06:35:00 -0500 https://news.webindia123.com/news/press_showdetailsPR.asp?id=1268114&cat=PR%20News%20Wire Killexams : Cloud Augmented Intelligence Market – Major Technology Giants in Buzz Again | MicroStrategy, SAP, IBM, SAS, CognitiveScale

Advance Market Analytics published a new research publication on “Cloud Augmented Intelligence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Cloud Augmented Intelligence market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF demo Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/200211-global-cloud-augmented-intelligence-market#utm_source=DigitalJournalLal

Some of the key players profiled in the study are: AWS (United States), Microsoft (United States), Salesforce (United States), SAP (Germany), IBM (United States), SAS (United States), CognitiveScale (United States), QlikTech International (United States), TIBCO (United States), Google (United States), MicroStrategy (United States) and Sisense (United States).

Scope of the Report of Cloud Augmented Intelligence
The global market for cloud augmented intelligence is growing as organisations increasingly leverage cutting-edge technologies like big data, block chain, artificial intelligence, and the internet of things to meet customer expectations. Additionally, the market’s expansion is positively impacted by the spike in demand for business intelligence products. However, factors including software implementation challenges and a shortage of cloud augmented intelligence specialists are anticipated to restrain market expansion. In contrast, it is anticipated that throughout the forecast period, significant companies would advance their use of augmented intelligence solutions and the volume and variety of data will expand within an automated process, providing lucrative chances for the market’s growth.

The titled segments and sub-section of the market are illuminated below:

by Technology (Machine Learning, Natural Language Processing, Computer Vision, Others), Industry Vertical (IT & Telecom, Retail & E-Commerce, BFSI, Healthcare, Manufacturing, Automotive, Others), Component (Software, Service), Organisation Size (Small & Medium, Large) Players and Region – Global Market Outlook to 2027

Opportunities:
Solutions for Cloud Augmented Intelligence Are Widely Used By SMES
Increased Use of Technology for Machine Learning, Artificial Intelligence, and Natural Language Processing

Market Drivers:
A Growing Amount of Sophisticated Corporate Data
Expanding Use of Cutting-Edge Cloud Augmented Intelligence and Analytics Tools

Have Any Questions Regarding Global Cloud Augmented Intelligence Market Report, Ask Our [email protected] https://www.advancemarketanalytics.com/enquiry-before-buy/200211-global-cloud-augmented-intelligence-market#utm_source=DigitalJournalLal

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Latest Market Insights:

In January 2022, Microsoft Corp. announced its plans to acquire Activision Blizzard Inc., a leader in game development and interactive entertainment content publisher. This acquisition will accelerate the growth in Microsoft’s gaming business across mobile, PC, console and cloud and will provide building blocks for the met averse.

In March 2022, Schlumberger partnered with Dataiku to provide customers with a single, centralized platform for designing, deploying, governing, and managing AI and analytics applications, allowing everyday users to create low-code no-code AI solutions. and In April 2021, Oracle made its GoldenGate technology available as a highly automated, fully managed cloud service that clients can use to help ensure that their valuable data is always available and analyzable in real-time, wherever they need it.

Strategic Points Covered in Table of Content of Global Cloud Augmented Intelligence Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Cloud Augmented Intelligence market

Chapter 2: Exclusive Summary – the basic information of the Cloud Augmented Intelligence Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Cloud Augmented Intelligence

Chapter 4: Presenting the Cloud Augmented Intelligence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the Cloud Augmented Intelligence market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Cloud Augmented Intelligence Market is a valuable source of guidance for individuals and companies.

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Killexams : Synopsys and IBM Announce Availability of Fully Synthesizable PowerPC Cores and SystemC Models

Synopsys to Deliver Complete System to Implementation Solution for Power Architecture Designs

MOUNTAIN VIEW, Calif. and BARCELONA, Spain, June 8 -- Synopsys, Inc. (Nasdaq: SNPS), a world leader in semiconductor design software, and IBM today announced the availability of fully synthesizable versions of IBM's PowerPC(R) 405 and 440 processors as part of the DesignWare(R) Star IP (intellectual property) program. The IBM PowerPC processors will be distributed as fully soft register transfer level (RTL) cores which can be easily implemented in any foundry process and configured to product design requirements including low power, high performance, or small silicon area. SystemC(TM) models of the PowerPC cores and associated peripherals will be distributed in Synopsys' System Studio architecture design and analysis environment. The combination of SystemC models, the synthesizable PowerPC cores and design services can provide designers a complete PowerPC solution spanning all facets of SoC design from system-level design to implementation.

Developed in close collaboration between IBM and the Synopsys Professional Services and DesignWare IP teams, the foundry-independent processor models support a broad range of design tools in the Synopsys Galaxy(TM) Design and Discovery(TM) Verification platforms. These design tools can help designers to address the full range of design issues including power reduction, signal integrity, design for manufacturing (DFM) and verification.

IBM's SystemC models of the PowerPC processor cores and IBM CoreConnect(TM) on-chip buses and peripherals will also be distributed by Synopsys for use with the System Studio tool. These transaction-level models can help product architects to efficiently explore high-level architectural trade-offs before committing to a specific implementation, and to facilitate pre-silicon hardware/software integration.

"There is tremendous demand for process portable versions of Power Architecture(TM)-based microprocessor cores for many applications within communications, consumer electronics and automotive segments," said Ron Martino, director of PowerPC Products at IBM. "This collaboration with Synopsys gives designers the ability to quickly implement customized Power Architecture based applications in world-leading semiconductor technologies. This announcement is an extension of our successful PowerPC and DesignWare Star IP relationship with Synopsys."

"Distribution of the synthesizable PowerPC cores through DesignWare Library and the SystemC models in the System Studio tool is a significant and natural extension of our multi-year collaboration with IBM on Power Architecture," said John Chilton, senior vice president and general manager of Synopsys' Solutions Group. "In addition to the pervasive DesignWare distribution channel and extensive customer support, Synopsys provides a reference design flow from system-level design through implementation that gives designers a proven, low-risk path to silicon with the flexibility to implement designs in their choice of process technologies."

Synopsys' distribution of the PowerPC models supports the goals of Power.org by providing designers around the world with access to the Power Architecture and with a means to implement it in their preferred process technology. Power.org is an open standards organization promoting the Power Architecture and its supporting technologies. Both IBM and Synopsys are founding members.

Synopsys and IBM will present additional details about the synthesizable PowerPC models at a "Power Lunch" event at the Design Automation Conference in Anaheim on June 14, 2005. Registration is available on-line through Synopsys at http://www.synopsys.com .

Availability

Design Views, including the simulation and timing models, a verification environment, and full documentation for the PowerPC 405 and 440, are currently available at no additional charge to DesignWare Library customers. For an additional fee, DesignWare Library users may license from IBM the Implementation Views of the core, including the fully synthesizable RTL; Synopsys will deliver the Implementation View(s) and will provide technical support. The Design Views can be downloaded from the Synopsys web site at http://www.synopsys.com/dwrequest .

SystemC models of the PowerPC 405 and 440 and selected CoreConnect peripherals are planned to be released with the System Studio tool in Q3 calendar 2005.

About DesignWare

Synopsys DesignWare(R) IP enables designers to quickly create and verify complex SoCs, ASICs and FPGAs. DesignWare gives designers a faster, more predictable and lower-risk path to chip success. The DesignWare Library Portfolio includes foundry libraries, verification IP, AMBA(TM) bus IP and peripherals, memories, building block IP and microcontrollers. All are available under one license with no additional costs, per use fees, or royalties. For more information on DesignWare IP, visit: http://www.designware.com or call 1-877-4BEST-IP

About IBM

IBM develops, manufactures and markets state-of-the-art semiconductor and interconnect technologies, products and services including industry-leading Power Architecture microprocessors. IBM semiconductors are a major contributor to the company's position as the world's largest information technology company. Its chip products and solutions power IBM eServer and TotalStorage systems as well as many of the world's best-known electronics brands. IBM semiconductor innovations include dual-core microprocessors, copper wiring, silicon-on-insulator and silicon germanium transistors, strained silicon, and eFUSE, a technology that enables computer chips to automatically respond to changing conditions. More information is available at: http://www.ibm.com/chips .

About Synopsys

Synopsys, Inc. is a world leader in EDA software for semiconductor design. The company delivers technology-leading semiconductor design and verification platforms and IC manufacturing software products to the global electronics market, enabling the development and production of complex systems-on-chips (SoCs). Synopsys also provides intellectual property and design services to simplify the design process and accelerate time-to-market for its customers. Synopsys is headquartered in Mountain View, California and has offices in more than 60 locations throughout North America, Europe, Japan and Asia. Visit Synopsys online at http://www.synopsys.com .

Forward Looking Statements

This press release contains forward-looking statements within the meaning of the safe harbor provisions of Section 21E of the Securities Exchange Act of 1934, including statements regarding the expected benefits and date of availability of SystemC models of the PowerPC 405 and 440 cores and selected CoreConnect peripherals. These statements are based on Synopsys' current expectations and beliefs. real results could differ materially from these statements as a result of unforeseen difficulties in completing the collaboration with IBM development, uncertainties attendant to any new product release and the other factors contained in Synopsys' Quarterly Report on Form 10-Q for the fiscal quarter ended April 30, 2005.

NOTE: Synopsys and DesignWare are registered trademarks and Galaxy and Discovery are trademarks of Synopsys, Inc. Power Architecture and CoreConnect are trademarks of IBM. SystemC is a trademark of the Open SystemC Initiative and is used under license. All other trademarks or registered trademarks mentioned in this release are the intellectual property of their respective owners.

SOURCE Synopsys, Inc.

Sun, 26 Jun 2022 12:00:00 -0500 en text/html https://www.design-reuse.com/news/10591/synopsys-ibm-fully-synthesizable-powerpc-cores-systemc-models.html
Killexams : IBM-owned SXiQ delivers migration for Bega Cheese following acquisition of rival dairy giant Lion Dairy and Drinks

IBM-owned, Melbourne-based cloud integrator SXiQ has completed migration services for Bega Cheese as part of its $560 million acquisition of rival dairy giant Lion Dairy & Drinks.

Bega bought Lion Dairy & Drinks in late 2020, which owns brands, such as Dairy Farmers, Yoplait, Big M, Dare, Masters, Juice Brothers, Daily Juice,  and Farmers Union iced coffee.

Bega Cheese chief information officer Zack Chisholm said in a statement that the Vegemite owner required Lion Dairy & Drinks’ applications, data and processes to be transitioned into its existing and expanded infrastructure.

Chisholm said that infrastructure migration and transition of 31 physical sites performing production, distribution and administration duties, had to be completed within a 12-month window with minimal disruption to the operations of both businesses. 

Bega Cheese’s IT team partnered with SXiQ on end-state design, migration planning and execution for several parts of the project - such as migration of applications, databases and associated backups, implementation of prod and non-prod AWS accounts and a landing zone to house all LD&D workloads. The work also included implementation of a continuous integration and continuous deployment toolset and workflow built on CloudFormation, Ansible, Jenkins and GitLab.

SXiQ said it also assisted Bega Cheese’s IT team with cloud cost optimisation strategies for efficient consumption of cloud resources to support the newly acquired business, and uplifting the cloud ops team to ensure Bega Cheese IT incorporated true DevSecOps into its core capability to support the new platform.

SXiQ chief executive officer John Hanna said, “our experts executed deep analysis, strategic thinking, and detailed planning to ensure the successful migration of Lion to Bega Cheese’s existing infrastructure.”

“By uplifting infrastructure, cloud management tooling and practices, SXiQ has enhanced management of Bega Cheese’s cloud assets, improving consistency, security and reducing time to deploy cloud infrastructure in the future.” 

Global tech giant IBM acquired SXiQ late last year for an undisclosed sum to bolster its Consulting’s Hybrid Cloud Services business’ Amazon Web Services and Microsoft Azure consulting capabilities.

Wed, 03 Aug 2022 00:04:00 -0500 text/html https://www.crn.com.au/news/ibm-owned-sxiq-delivers-migration-for-bega-cheese-following-acquisition-of-rival-dairy-giant-lion-dairy-and-drinks-583545
Killexams : AI Tech Stocks and the Growing Implementation in the Sports Market

Vancouver, Kelowna and Delta, British Columbia--(Newsfile Corp. - July 21, 2022) - Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) stocks releases a sector snapshot looking at the growing AI tech implementation in the sports market, featuring AI innovator GBT Technologies Inc. (OTC Pink: GTCH).

Read the full article at Investorideas.com

As with so many other sectors, the sports industry is seeing increasing penetration of Artificial Intelligence (AI) related technologies as aspects of the medium become more and more digitized. A recently published report from Vantage Market Research finds that the global market for AI in Sports is projected to grow from $1.62 billion USD in 2021 to $7.75 billion by 2028, registering a compound annual growth rate (CAGR) of 29.7 percent in the forecast period 2022-28. According to a market synopsis from the report, AI is being leveraged by a number of firms to track player performance, Excellerate the player's health, and to Excellerate sports planning.

One such firm is GBT Technologies Inc. (OTC Pink: GTCH), an early stage technology developer in IoT and Artificial Intelligence (AI) Enabled Mobile Technology Platforms, which recently completed phase one of its intelligent soccer analytics platform through its 50 percent-owned joint venture GBT Tokenize Corp. (GTC). Given the internal codename of smartGOAL, the platform is "an intelligent, automatic analytics and prediction system for soccer game's results," which works by analyzing and predicting "possible outcomes of soccer games results according to permutations, statistics, historical data, using advanced mathematical methods and machine learning technology." GBT's CTO, Danny Rittman, explained:

"Considering the popularity of the game in the present world, we believe organizations will be interested in prediction systems for the better performance of their teams. As interesting as it may seem, prediction of the results of a soccer game is a very hard task and involves a large amount of uncertainty. However, it can be said that the result of football is not a completely random event, and hence, we believe a few hidden patterns in the game can be utilized to potentially predict the outcome. Based on the studies of numerous researchers that are being reviewed in our study as well as those done in the previous years, one can say that with a sufficient amount of data an accurate prediction system can be built using various machine learning algorithms. While each algorithm has its advantages and disadvantages, a hybrid system that consists of more than one algorithm can be made with the goal of increasing the efficiency of the system as a whole. There also is a need for a comprehensive dataset through which better results can be obtained. Experts can work more toward gathering data related to different leagues and championships across the globe which may help in better understanding of the prediction system. Moreover, the distinctive characteristics of a soccer player, as well as that of the team, can also be taken into consideration while predicting as this may produce a better result as compared to when all the players in a game are treated to be having an equal effect on the game. The more information the system is trained with, we believe the more accurate the predictions and analysis will be. One of our joint venture companies, GTC, aimed to evaluate machine learning-driven applications in various fields, among them are entertainment, media and sports. We believe smartGOAL is an intelligent application that has the ability to change the world's soccer field when it comes to analytics and game score predictions."

Elsewhere, Amazon Web Services (AWS), a subsidiary of tech giant Amazon announced a collaboration with Maple Leaf Sports & Entertainment (MLSE), a sports and entertainment company that owns a host of Toronto-based sports franchises, to innovate the creation and delivery of "extraordinary sports moments and enhanced fan engagement." This will see MLSE utilize AWS AI, machine learning (ML), and deep learning cloud services to support their teams, lines of business, and how fans connect with each other and experience games. Humza Teherany, Chief Technology & Digital Officer at MLSE, commented:

"We built Digital Labs at MLSE to become the most technologically advanced organization in sport. As technology advances and how we watch and consume sports evolves, MLSE is dedicated to creating solutions and products that drive this evolution and elevate the fan experience. We aim to offer new ways for fans to connect digitally with their favorite teams while also seeking to uncover digital sports performance opportunities in collaboration with our front offices. With AWS's advanced machine learning and analytics services, we can use data with our teams to help inform areas such as: team selection, training and strategy to deliver an even higher caliber of competition. Taking a cloud-first approach to innovation with AWS further empowers our organization to experiment with new ideas that can help our teams perform their very best and our fans feel a closer connection to the action."

Similarly, IBM, the "Official Technology Partner of The [tennis] Championships for the past 33-years, has recently, alongside the All England Lawn Tennis Club, unveiled "new ways for Wimbledon fans around the world to experience The Championships digitally, powered by artificial intelligence (AI) running on IBM Cloud and hybrid cloud technologies." Kevin Farrar, Sports Partnership Leader, IBM UK & Ireland, explained:

"The digital fan features on the Wimbledon app and Wimbledon.com, beautifully designed by the IBM iX team and powered by AI and hybrid cloud technologies, are enabling the All England Club to immerse tennis lovers in the magic of The Championship, no matter where they are in the world. Sports fans love to debate and we're excited to introduce a new tool this year to enable that by allowing people to register their own match predictions and compare them with predictions generated by Match Insights with Watson and those of other fans."

Another firm cited in the Vantage Market Research report on AI in Sports was sports performance tech firm Catapult Group International Limited, who recently reported a multi-year deal with the German Football Association (DFB-Akademie) to "capture performance data via video, track athlete performance via wearables, and Excellerate the analysis infrastructure at all levels of the German National Football Teams." Will Lopes, CEO of Catapult, commented:

"We strive every day to unleash the potential of every athlete and team, and we're proud to partner with the prestigious German Football Association to fulfill that ambition. We're looking forward to partnering with the DFB to unlock what even the best coaches in the world cannot see on film or from the sidelines. This technology will empower athletes at all levels with data and insights to perform at their best."

With the seemingly inexorable tendency toward digitization in the presentation and analysis of sports, the accompanying use of AI-related technologies seems equally inevitable as is already borne out by current industry trends.

For a list of artificial intelligence stocks on Investorideas.com visit here.

About GBT Technologies Inc.

GBT Technologies, Inc. (OTC Pink: GTCH) ("GBT") (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT's mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT's goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT's vision is to produce this system as a low cost, secure, private-mesh-network between any and all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.

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