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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.

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Here’s How Data Analytics In Sports Is Changing The Game

Smart Data Collective

Any sports player or fan should be aware that data analysis has become a significant part of sports. As individuals and teams seek to gain an advantage over the opposition, analyzing data and using the results to shape your performance is one of the best ways to get ahead. Depending on the sport, data is used in different ways.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

At the time, the team was focusing on traditional AI, using machine learning capabilities to build a recommendation engine that could help end users perform TPO on the fly. “In This just wasn’t possible with traditional machine learning. Imagine, for instance, the tennis equipment marketplace.

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LaLiga transforms fan experience with AI

CIO

IT is playing a key role in how the world’s most popular sport is played and experienced in Spain. The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game.

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Fixed wireless access (FWA) is a secure networking option

CIO

Businesses considering adopting fixed wireless access (FWA) solutions—whether over 4G LTE or 5G networks—should understand both the security advantages of and potential pitfalls associated with the technology ahead of a deployment. Hackers take advantage of out-of-date systems, software, and known security issues.

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How FLO Cut Customer Refund Time from Weeks to Seconds

CIO

1 sports shoe brand in terms of sales volume. To meet the challenge, the company took “a leap into the future,” turning to digital transformation and a machine learning (ML) solution. Artificial Intelligence, Machine Learning Brands include Lumberjack, Polaris, and Kinetix, Turkey’s No.

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IT leaders get creative to fill data science gaps

CIO

Another 62% said they plan to hire data engineers , and 37% are looking for machine learning engineers — data analytics team members who could support data scientists. And machine learning engineers are being hired to design and build automated predictive models. It’s a team sport, for sure.”. More advanced companies get that.

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