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How AI is helping the NFL improve player safety

CIO Business Intelligence

Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

From targeted advertising, education, and already mentioned massive industries (healthcare, manufacturing, or banking), to real-life scenarios, in guest service or entertainment. Doritos and Mountain Dew have both used this strategy with varying levels of success. What’s the motive? And when you consider that by the year 2020, 1.7

Big Data 244
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ? But the power, value, and imperative of observability does not stop there.

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AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly on Data

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”. The answer is yes.

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It’s time to evolve beyond marketing to create meaningful metaverse moments

CIO Business Intelligence

I’ll start with the surprising: 43% of executives say they already have a metaverse strategy in place. These timelines do not necessarily align with what I see, as most industries are likely not capable of executing a metaverse strategy in the short term. Only 4% say it’ll take six to 10 years. That’s the direct customer experience.

Marketing 111
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4 strategic sourcing use cases to strengthen your supply chain

IBM Big Data Hub

Where tactical sourcing is a short-term strategy, strategic sourcing is for long-term business goals. They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Strategic sourcing can help mitigate some of that stress by reducing potential risks associated with supplier relationships.