Tuesday, December 29, 2020

2021: Cloudy with a (Very Good) Chance of AI and Analytics

As we entered 2020, the cloud was already on its way to becoming a defacto standard for running advanced analytics and AI for many organizations. Then COVID-19 happened, and the great cloud migration started to look like a stampede.

That momentum will continue into 2021, according to our panel of experts. However, the way that organizations use public cloud platforms – namely Amazon Web Services, Microsoft Azure, and Google Cloud, but also Alibaba Cloud, Oracle Cloud, and IBM Cloud – may surprise you.

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Publisher: Datanami
Date: 2020-12-29T12:00:30 00:00
Twitter: @datanami
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And here's another article:

Count On Mets Using Scouting And Analytics | Metsmerized Online

Analytics has taken baseball to a different level. Though scouting is still an important part of the game, and with baseball owners continuing to make substantial cutbacks in that department, there is also the emphasis of combining analytics with scouting.

The Mets are no exception to moving ahead with analytics. Steve Cohen and Sandy Alderson are also moving along and pumping more money into utilizing the numbers.

Jared Porter, and his success will use analytics. However, the Mets GM has a resume of history with the Red Sox, Cubs, and Diamondbacks that placed a major emphasis on scouting and incorporating analytics.

Twitter: @metsmerized
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Analytics Recap: Kansas City Chiefs Defeat Atlanta Falcons 17-14 - Sports Illustrated Kansas City

The Kansas City Chiefs improved to 14-1 and clinched home-field advantage on the road to Super Bowl LV after narrowly defeating the Atlanta Falcons 17-14. Patrick Mahomes had among the worst games of his career, throwing an interception and had at least a couple more turnover worthy plays. It is likely that Mahomes and several other major players will be done for the regular season with just one game remaining and nothing in the big picture to gain.

The final game of the Chiefs' regular season will be at Arrowhead Stadium on Sunday against the Los Angeles Chargers. The Chargers are on a three-game winning streak with their star rookie quarterback Justin Herbert off to one of the best starts to a career in NFL history.

Publisher: Sports Illustrated Kansas City Chiefs News, Analysis and More
Date: 2020-12-29T22:30:00Z
Author: Sam Hays
Twitter: @@SIChief
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Analytics Insight Announces 'The 10 Most Disruptive Cybersecurity Companies in 2020'

Analytics Insight has announced 'The 10 Most Disruptive Cybersecurity Companies 2020' in its December magazine issue.

The issue features innovative cybersecurity companies that provide avant-garde security solutions integrating the best in advanced disruptive technologies to predict, respond and mitigate cyber threats and potential attacks. Let's look at the ten companies that made it to the list in 2020:

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Action1 Corporation : A cloud-based endpoint security management platform that enables security patch management, remote desktop access and remote management (RMM), software deployment, IT asset inventory and reporting, and more.

Twitter: @Yahoo
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Check out this next:

Transportation Predictive Analytics and Simulation Market Size 2021| Top Companies, Trends,

New Jersey, United States,-  The latest Transportation Predictive Analytics and Simulation Market report considers size, application segment, type, regional outlook, market demand, latest trends, as well as Transportation Predictive Analytics and Simulation Market share and revenue by manufacturers, the main company profiles, and forecasts of future growth potential. Analyzes the current size of the market and its evolution in this sector over the coming years.

The report offers a critical hypothesis that identifies with the Transportation Predictive Analytics and Simulation Market by studying its breakdown. The global market with respect to Transportation Predictive Analytics and Simulation Market size, market share, growth factor, major supplier, revenue, product demand, sales size, quantity, cost structure, and new development in the Transportation Predictive Analytics and Simulation Market.

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As the Need for Health Analytics Grows for HCBS and LTSS Services, Providers Turn to Therap's

WATERBURY, Conn. , Dec. 29, 2020 /PRNewswire/ -- Providers seek efficient and manageable solutions for the ever-growing need of real-time insights to individualized health tracking and reporting. For this reason, Therap continues to be the number one choice among providers of I/DD services and other human services industries who are catching onto what may be considered a great kept secret of the I/DD field.

Therap's comprehensive information and data management system includes a complete health management suite, which can be used along with other system features to address compliance, communication, documentation, reporting, billing, and more. Provider agencies within human service settings are taking advantage of these tools to track health data at the point-of-service and trend findings with an array of detailed and graphical reports.

Twitter: @Yahoo
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Big Data Analytics In Telecom Market Size, Share, Growth Trends, Revenue, Top Companies, Regional

New Jersey, United States,- The report, titled “ Big Data Analytics In Telecom Market Research Report ” is based on the extensive analysis of analysts and contains detailed information on the global market area. A detailed examination of the business landscape, as well as the essential parameters that shape the marketing matrix of the market, is included.

A thorough qualitative and quantitative study of the global market has been conducted in this report. The study takes into account various important aspects of the market by focusing on historical and forecast data. The report provides information on the SWOT analysis as well as Porter’s Five Forces Model and the PESTEL analysis.

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Rise of Data Science, Big Data and Data Analytics - Learn Python - Preferred Language for Data

Lawyer SEO expert Qamar Zaman who specializes in data science explains why Python is a necessary language to learn for Data Science.

Python is a very useful language for handling data. It’s also an incredibly easy language to learn compared to other languages due to its simple syntax. It’s becoming extremely popular among data scientists as well for this very reason. However, that can’t be the only reason, right? After all, for data science Python has to be useful as well.

Date: 55E9E5223A1CE42917CF11134D27C4D9
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