Welcome back to our Windows 10 news recap, where we go over the top stories of the past week in the world of Microsofts flagship operating system.

Microsoft to introduce PowerToys launcher for Windows 10 in May

A new report suggests that a new update for PowerToys is being prepared that includes a Mac OS style Spotlight launcher, making it easier find apps and files on a Windows 10 PC.

concept design for PowerToys Launcher UX

Microsoft starts sending invites for first Halo 2 Anniversary beta on PC

Invites for the Halo 2 Anniversary beta on PC have started to be sent out this week. Members of the Halo Insider program who have opted into PC flighting will receive an email with the invite.

Microsoft is using machine learning to identify security bugs during software development

In order to help Microsoft identify security bugs and resolve them before public release of software, the company is employing machine learning to find security bugs.

Thats it for this week. Well be back next week with more Windows 10 news.

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Windows 10 news recap: Halo 2 Anniversary beta invites being sent out, machine learning utilised to identify security bugs, and more - OnMSFT

During the COVID19 pandemic, I decided that I wanted to use the time at home to invest in myself. One of the things I was challenged by in a recent episode of Business Casual was when Mark Cuban discussed the role of Artificial Intelligence in the future and recommended some tools to learn more. He mentioned some Coursera courses, so I am currently working my way through some of their AI training, but he also mentioned an AI-focused podcast called theTWIMLAI Podcast that I added to my podcast subscription list.

9to5Macs Podcast of the Week is a weekly recommendation of a podcast you should add to your subscription list.

TWIML (This Week in Machine Learning and AI) is a perfect way to hear from industry experts about how Machine Learning and AI will change our world. I plan to work through the back catalog soon, but the newest episodes have been informative. I particularly enjoyed this episode with Cathy Wu, Gilbert W. Winslow Career Development Assistant Professor in the Department of Civil and Environmental Engineering at MIT where they discussed simulating the future of traffic.

Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the lives of our audience and their communities.

TWIML has its origins in This Week in Machine Learning & AI, a podcast Sam launched in mid2016 to a small but enthusiastic reception. Fast forward three years, and the TWIML AI Podcast is now a leading voice in the field, with over five million downloads and a large and engaged community following. Our offerings now include online meetups and study groups, conferences, and a variety of educational content.

Subscribe to the TWIML AI Podcast on Apple Podcasts, Spotify, Castro, Overcast, Pocket Casts, and RSS.

Dont forget about the great lineup of podcasts on the 9to5 Network.

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Podcast of the Week: TWIML AI Podcast - 9to5Mac

SAP SE announced several updates, including the Schedule a Manager and Ask an Expert Peer services, to its Next-Generation Support approach focused on the customer support experience and enabling customer success.

Based on artificial intelligence (AI) and machine learning technologies, SAP has further developed existing functionalities with new, automated capabilities, such as the Incident Solution Matching service and automatic translation.

AI and machine learning technologies are key to improving and simplifying the customer support experience. They continue to play an important role in expanding Next-Generation Support to help SAP deliver maximum business outcomes for customers. SAP has expanded its offerings by adding new features to existing services, for example:

Customers expect their issues to be resolved quickly, and SAP strives toward a consistent line of communication across all support channels, including real-time options. SAP continues to improve, innovate and extend live support for technical issues by connecting directly with customers to provide a personal customer experience. Building on top of live support services, such as Expert Chat and Schedule an Expert, SAP has made significant strides in upgrading its real-time support channels. For example, it now offers the Schedule a Manager service and a peer-to-peer collaboration channel through the Ask an Expert Peer service.

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SAP Added to its Next-Generation Support - ARC Advisory Group

Documenting the Industry Development of Machine Learning as a Service (MLaaS) Market concentrating on the industry that holds a massive market share 2020 both concerning volume and value With top countries data, Manufacturers, Suppliers, In-depth research on market dynamics, export research report and forecast to 2029

As per the report, the Machine Learning as a Service (MLaaS) Market is anticipated to gain substantial returns while registering a profitable annual growth rate during the predicted time period.The global machine learning as a service (mlaas) market research report takes a chapter-wise approach in explaining the dynamics and trends in the machine learning as a service (mlaas) industry.The report also provides the industry growth with CAGR in the forecast to 2029.

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***[Note: Our Complimentary Sample Report Accommodate a Brief Introduction To The Synopsis, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology are also Included]

An Evaluation of the Machine Learning as a Service (MLaaS) Market:

The report is a detailed competitive outlook including the Machine Learning as a Service (MLaaS) Market updates, future growth, business prospects, forthcoming developments and future investments by forecast to 2029. The region-wise analysis of machine learning as a service (mlaas) market is done in the report that covers revenue, volume, size, value, and such valuable data. The report mentions a brief overview of the manufacturer base of this industry, which is comprised of companies such as- Google, IBM Corporation, Microsoft Corporation, Amazon Web Services, BigML, FICO, Yottamine Analytics, Ersatz Labs, Predictron Labs, H2O.ai, AT and T, Sift Science.

Segmentation Overview:

Product Type Segmentation :

Software Tools, Cloud and Web-based Application Programming Interface (APIs), Other

Application Segmentation :

Manufacturing, Retail, Healthcare and Life Sciences, Telecom, BFSI, Other (Energy and Utilities, Education, Government)

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The fundamental details related to Machine Learning as a Service (MLaaS) industry like the product definition, product segmentation, price, a variety of statements, demand and supply statistics are covered in this article.

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The market review for the global market is done in context to region, share, and size.

The important tactics of top players in the market.

Other points comprised in the Machine Learning as a Service (MLaaS) report are driving factors, limiting factors, new upcoming opportunities, encountered challenges, technological advancements, flourishing segments, and major trends of the market.

Check Table of Contents of This Report @https://market.us/report/machine-learning-as-a-service-mlaas-market//#toc

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Machine Learning as a Service (MLaaS) Market | Outlook and Opportunities in Grooming Regions with Forecast to 2029 - Jewish Life News

AI Zest Automated Machine Learning:

This comprehensive AI Zest Automated Machine Learning Market research report includes a brief on these trends that can help the businesses operating in the industry to understand the market and strategize for their business expansion accordingly. The research report analyzes the market size, industry share, growth, key segments, CAGR and key drivers.

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This report studies the AI Zest Automated Machine Learning market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the AI Zest Automated Machine Learning market by product type and applications/end industries.

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The segment analysis is one of the significant sections of this report. Our expert analyst has categorized the market into product type, application/end-user, and geography. All the segments are analyzed based on their market share, growth rate, and growth potential. In the geographical classification, the report highlights the regional markets having high growth potential. This thorough evaluation of the segments would help the players to focus on revenue-generating areas of the Vertical Farming market.

Regional Analysis

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Research Methodology

The research methodology of the market is based on both primary as well as secondary research data sources. It compels different factors affecting the AI Zest Automated Machine Learning industry such as historical data and market trends, different policies of the government, market environment, market risk factors, market restraints, technological advancements, forthcoming innovations, and obstacles in the industry.

The content of the study subjects includes a total of 8 chapters:

Moreover, the research report assessed market key features, consisting of revenue, capacity utilization rate, price, gross, growth rate, consumption, production, export, supply, cost, market size & share, industry demand, export & import analysis, and CAGR.

AI Zest Automated Machine Learning Market Key players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered financial information of last 3 years, key development in past five years.

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2020 AI Zest Automated Machine Learning Market Opportunities, Analysis, Future and Forecast by Key Players, Products, Types and Applications - Germany...

The Machine Learning as a Service (MLaaS) market research report study recently presented by AMR provides comprehensive knowledge on the development activities by Global industry players, growth possibilities or opportunities and market sizing for Machine Learning as a Service (MLaaS) along with analysis by key segments, leading and emerging players, and their presence geographies.

This research study has 196 pages, it covers the complete market overview of various profiled players and their development history, on-going development strategies along with the current situation.

In this report, we analyze the Machine Learning as a Service (MLaaS) industry from two aspects. One part is about its production and the other part is about its consumption. In terms of its production, we analyze the production, revenue, gross margin of its main manufacturers and the unit price that they offer in different regions from 2014 to 2019. In terms of its consumption, we analyze the consumption volume, consumption value, sale price, import and export in different regions from 2014 to 2019. We also make a prediction of its production and consumption in coming 2019-2024.

The research benefits in recognizing and following arising players in the market and their portfolios, to enhance decision-making abilities and helps to create effective counter-strategies to gain a competing advantage. Some of the players profiled/ part of study coverage are Microsoft, International Business Machine, Amazon Web Services, Google, Bigml, Fico, Hewlett-Packard Enterprise Development, At&T.

Get free sample: https://www.amplemarketreports.com/sample-request/global-machine-learning-as-a-service-market-1666937.html

AMRs research team has examined complete data across the globe comprising 20+ countries with a comprehensive data plan spread from 2013 to 2026 and approximately 12+ regional indicators complemented with 20+ company level coverage.

The study is organized utilizing data and knowledge sourced of various primary and secondary sources, proprietary databases, company/university websites, regulators, conferences, SEC filings, investor presentations and featured press releases from company sites and industry-specific third party sources.

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Characteristics of the Table of Content:

The comprehensive study presented by considering all the important aspects and sections. Some of these were

Machine Learning as a Service (MLaaS) MARKET RESEARCH SCOPE OBJECTIVES, TARGET AND KEY FINDINGS

Preferably, that approaching major uptrend failed to arrive on schedule, but the Machine Learning as a Service (MLaaS) market raised without posting any drops and surely witnesses zeniths in years to come.

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Banking, Financial Services, Insurance, Automobile, Health Care, Defense, Retail, Media & Entertainment, Communication segment interpreted and sized in this research report by application/end-users reveals the inherent growth and several shifts for the period 2014 to 2026.

The changing dynamics supporting the growth perform it perilous for manufacturers in this extent to keep up-to-date with the changing pace of the market. Find out which segment is doing great and will return in strong earnings adding the significant drive to overall growth.

Furthermore, the research contributes an in-depth overview of regional level break-up categorized as likely leading growth rate territory, countries with the highest market share in past and current scenario. Some of the geographical break-up incorporated in the study are North America, Europe, Asia Pacific, Middle East & Africa, Latin America.

In the Type segment Special Service, Management Services included for segmenting Machine Learning as a Service (MLaaS) market by type.

The industry is performing well and few emerging business institutions are in their peak as per growth rate and their existence with major players of Machine Learning as a Service (MLaaS) market whereas conflict between 2 Global economies continues in 2020.

Microsoft, International Business Machine, Amazon Web Services, Google, Bigml, Fico, Hewlett-Packard Enterprise Development, At&T major key players included in this research along with their sales and revenue data show how they are performing well?

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Thanks for reading this article, you can also get individual chapter wise section or region wise report versions like North America, Western / Eastern Europe or Southeast Asia.

With the given market data, Research on Global Markets offers customizations according to specific needs. Write to AMR at [emailprotected], or connect via +1-530-868-6979

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Ample Market Research provides comprehensive market research services and solutions across various industry verticals and helps businesses perform exceptionally well. Our end goal is to provide quality market research and consulting services to customers and add maximum value to businesses worldwide. We desire to delivery reports that have the perfect concoction of useful data. Our mission is to capture every aspect of the market and offer businesses a document that makes solid grounds for crucial decision making.

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Machine Learning as a Service Market: Which business strategy will be prominent? - The Canton Independent Sentinel