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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

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. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

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An Overview of Sales Analytics in Event Industry

BizAcuity

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics in Event Industry – A Perspective View.

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Computer vision transforms tennis coaching at Billie Jean King Cup

CIO Business Intelligence

Other sports have been quick to embrace the use of data and analytics to transform how athletes are recruited, trained, and prepped for competitions, how they adjust to changing circumstances during play, and how they break down successes and failures after competition. It’s automating a lot of that data processing and analytics generation.”

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What Choice’s CIO sees in a cloud-native approach to sustainability

CIO Business Intelligence

A lot of this was, in recent years, borne out of a strong partnership with Amazon Web Services, so Choice became able to benefit from cost savings and energy efficiencies, while utilizing many related services AWS offers—such as analytics and AI—to advance its digital offerings. Sustainability is one of our main drivers,” says Kirkland.

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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

Not " singlecity ", not on the web, not in Web Analytics 2.0." My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). I have already presented my mental model for Web Analytics 2.0.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

Over the life of the forecast, the data scientist will publish historical accuracy metrics. But due to the long time lag between forecasts and actuals, these metrics alone are insufficient. Every forecast update will include metrics to provide insight on change drivers, and will flag significant gaps between different model forecasts.

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Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

By design none of them from the world of digital analytics, though I’ll stay connected to that world from a how could you use this idea perspective. The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession.