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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. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity.

Sport 267
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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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The Newest FIFA World Cup Referee: Human-in-the-Loop Machine Learning

Cloudera

C (Cloudera is headquartered in the US, but we also recognize the superiority of the metric system). The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides.

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Higher-ed CIOs embrace academia’s AI challenges

CIO

One is knowledge of the emerging mega trends in technology — data, AI, and machine learning — and the other is understanding organizational culture needed to advance the technology goals and to inspire contributors,” he says. We developed a model to predict student outcomes based on metrics from historical evidence,” he says.

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Computer vision transforms tennis coaching at Billie Jean King Cup

CIO

With centuries of tradition behind it, tennis as a sport has been highly resistant to change. It’s fair to say that tennis has lived up to its roots as a traditional sport,” says Mat Pemble, executive director of IT for the International Tennis Federation (ITF), the sport’s governing body.

Coaching 251
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AI in Security — Ready for Prime Time

Palo Alto Networks

Our objective is to present different viewpoints and predictions on how artificial intelligence is impacting the current threat landscape, how Palo Alto Networks protects itself and its customers, as well as implications for the future of cybersecurity. Addressing misconceptions, Yoni distinguished between AI and machine learning (ML).

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Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

TechCrunch

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. Mao and co-founder Rob Skillington (CTO) founded Chronosphere on the back of early work that they started at Uber, where they built an observability platform very specific to Uber’s needs as a business.

Cloud 209