article thumbnail

Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. This is kind of a team sport for us, so itâ??s

article thumbnail

MLSE looks to revolutionize sports experience with digital R&D lab

CIO

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.

Sport 201
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Hiro Capital puts $2.3M into team sports tracking platform PlayerData — as does Sir Terry Leahy

TechCrunch

Hiro Capital has gradually been making a name for itself as an investor in the area know as “Digital Sports” or DSports for short. based PlayerData uses wearable technology and software tracking to give grass-roots and professional sports teams feedback on their training. It’s now led a $2.3 Edinburgh, U.K.-based

Sport 251
article thumbnail

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

Cloudera

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. What is human-in-the-loop machine learning? A world-class machine learning solution.

article thumbnail

VCs continue to pour dollars into generative AI

TechCrunch

In the video category, WSC Sports, which uses AI to generate personally tailored video clips for sports fans, landed $100 million in Series D funding nearly a year ago. First, the declining cost of training cutting-edge machine learning tech and advances in research have propelled both in-house teams and startups alike.

article thumbnail

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

TechCrunch

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.

Cloud 209
article thumbnail

Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

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.