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Enhancing customer care through deep machine learning at Travelers

CIO

s SVP and chief data & analytics officer, has a crowâ??s s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs. s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? more than 3,000 of themâ??that

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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 174
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Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

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5 hot IT hiring trends — and 5 going cold

CIO

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion. IT leaders say the best approach is to focus on adaptability.

Trends 306
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CIOs take aim at Silicon Valley talent

CIO

Rau hired a former Apple colleague who approached him and was incentivized by the offer to run the software engineering team at the Indianapolis-based Lilly after hearing about the types of projects he could work on. “I P&G is applying AI at scale and automating the machine learning deployment process, he says.

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How to Hire AI Developers?

Existek

With the major progress in all sub-domains of artificial intelligence, the demand for AI developers has tremendously increased. And the main focus remains on implementing and integrating artificial intelligence into the project deliverables. Therefore, it’s required to obtain good skills in data science.

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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.