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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

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LaLiga transforms fan experience with AI

CIO

IT is playing a key role in how the world’s most popular sport is played and experienced in Spain. The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large.

Sports 571
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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

Datapine Blog

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. What Is Data Interpretation? Table of Contents.

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How Search Engines Work: A Guide to Search Engine Algorithms

SpyFu

Google’s website index contains billions of pages and 100,000,000 gigabytes of data. To organize this information, Google uses a machine-learning algorithm called RankBrain and a knowledge base called Knowledge Graph.  This Feature snippet: A result of Knowledge Graph.

Algorithm 111
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The Power Of Real Time Analytics & Business Intelligence Explained

Datapine Blog

Knowledge has become the key economic resource and the dominant, if not the only, source of competitive advantage.” – Peter F. Sporting a logical layout and data visualizations built for responsive benchmarking, this dashboard has everything you need to meet or exceed your core retail goals while remaining adaptable at all times.

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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

Datapine Blog

1) Misleading Data Visualization Examples. 3) The Impact Of Bad Data Visualizations. But while that may be the case, people are duped by data visualizations every day. A misleading data visualization issue that plagues business intelligence (BI) across industries is making the wrong chart choice. Table of Contents.

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How to Build a B2B Sales Team Structure

Zoominfo

It’s not rocket science, it’s basic logic: overtime, sales staff gain unique experience, including intricate knowledge related to both overlooked and recurring problems that stall deals, navigating specific personas and accounts, industries, business relationships, and the overall market at-large. Sales is no longer an individual sport.

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