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. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity.
Cloudera
DECEMBER 7, 2022
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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
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.
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.
TechCrunch
OCTOBER 7, 2021
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.
TechCrunch
MARCH 24, 2021
“We process signals from accelerometers and gyroscopes inside smartphones or tablets to calculate your regular cycling performance metrics such as cadence (repetitions-per-minute), calories and distance. Motosumo algorithms are proprietary and trained by a machine learning loop.
Expert insights. Personalized for you.
243 
Let's personalize your content