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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk.

Analytics 107
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5 rules that transform outsourcing outcomes

CIO Business Intelligence

It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003. So when you break a process down into small parts, it is easy to fall into measurement minutiae.

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

The Unofficial Google Data Science Blog

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.

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What Will Drive Innovation in this Great Reset

Andrew White

Emergency measures are undertaken with little planning. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. This period is characterized by immediate reactions to crisis. Things stop working. This phase is all about survival.

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Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased.

KDD 40
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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. Statisticians who believe that probability is a natural property of an event and is measured empirically as a long-run relative frequency are called frequentists. on average. and an error term ??

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Empowering data mesh: The tools to deliver BI excellence

erwin

Decentralization has a downside, a risk of anarchy. Datavault , established in 2003, is a boutique data consultancy providing clients with data platform, governance and analytics solutions. Decentralized data, centralized governance Data mesh breaks monolithic data architectures into smaller, more manageable decentralized domains.