Data Machine Learning Metrics Sport 
CIO
APRIL 8, 2024
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.
CIO
MAY 15, 2023
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.
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Cloudera
DECEMBER 7, 2022
C (Cloudera is headquartered in the US, but we also recognize the superiority of the metric system). The third, and most interesting fact about the 2022 World Cup, is the new and innovative ways that technology and data are being used to improve the beautiful game, both on and off the pitch. What is human-in-the-loop machine learning?
O'Reilly Media - Data
JUNE 5, 2018
Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.
CIO
FEBRUARY 21, 2024
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. “We
TechCrunch
OCTOBER 7, 2021
Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.
Palo Alto Networks
JANUARY 17, 2024
As such, security practitioners need to proactively counter these evolving threats to protect sensitive data and organizational integrity. Moreover, concerns about AI pollution and data manipulation were also raised during the discussion. Yoni stressed the necessity of collaboration between cybersecurity experts and data scientists.
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