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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

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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.

Sport 240
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IT leaders get creative to fill data science gaps

CIO

Synchrony isn’t the only company dealing with a dearth of data scientists to perform increasingly critical work in the enterprise. Companies are struggling to hire true data scientists — the ones trained and experienced enough to work on complex and difficult problems that might have never been solved before. Getting creative.

Data 359
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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

It’s no secret that companies place a lot of value on data and the data pipelines that produce key features. In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle.

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Why You Need ML Ops for Successful Innovation

TIBCO - Connected Intelligence

While many organizations are investing heavily in data science and machine learning (ML), far fewer have found a way to monetize their initiatives and fully realize the value from the insights uncovered. Best Practices to Operationalize Data Science and Machine Learning.

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6 generative AI hazards IT leaders should avoid

CIO

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”

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Traffic Prediction: How Machine Learning Helps Forecast Congestions and Plan Optimal Routes

Altexsoft

As of today, different machine learning (and specifically deep learning) techniques capable of processing huge amounts of both historic and real-time data are used to forecast traffic flow, density, and speed. There are lots of weather data providers you can connect to — such as OpenWeather or Tomorrow.io.