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 241
article thumbnail

Enhancing customer care through deep machine learning at Travelers

CIO

This is kind of a team sport for us, so itâ??s Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. more than 3,000 of themâ??that

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

StubHub’s Rockstar Summer Interns

StubHub

The group of 20 is a diverse mix of college, grad school and PhD students who hail from a variety of disciplines: computer science, data science, business, software engineering, design, informatics, applied mathematics and economics. They are like our customers: they love concerts, festivals, sporting events, theater?—?basically

article thumbnail

Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Over specialisation is considered good in industries such as healthcare and aviation but in software engineering over specialisation can be a blocker. Unlike healthcare and aviation where practices don't change over the decades, software technology is changing every day. Resting in sports is a very common practice.

article thumbnail

Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102