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Enhancing customer care through deep machine learning at Travelers

CIO

s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,รข?? On the role of the Chief Data Officer: Due to the nature of our business, Travelers has always used data analytics to assess and price risk. But we have to bring in the right talent.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

For this article, we discussed current and potential applications of AI in retail, as well as the state of the industry in general, including factors that drive adoption of cognitive technologies. However, the cashierless store concept has been under pressure in the US due to a backlash against cashless systems. percent of U.S.

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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. In 2019, CIOs will have to optimize applications of the newest cloud technology in response to their requirements.

Cloud 78
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Demystifying MLOps: From Notebook to ML Application

Xebia

The first part will be about the what and why of MLOps and the second part about technical aspects of MLOps. This post is based on a tutorial given at EuroPython 2023 in Prague: How to MLOps: Experiment tracking & deployment and a Code Breakfast given at Xebia Data together with Jeroen Overschie. Code is made available here.

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Technology Trends for 2023

O'Reilly Media - Ideas

Our data shows us what Oโ€™Reillyโ€™s 2.8 Thatโ€™s a better measure of technology trends than anything that happens among the Twitterati. But other technology topics (including some favorites) are hitting plateaus or even declining. Whatโ€™s real, and what isnโ€™t? While we donโ€™t discuss the economy as such, itโ€™s always in the background.

Trends 136
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Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business

OpenCredo

No doubt this is due in part to a more realistic assessment of ITโ€™s growing influence in the entire value chain. In this way, IT would view itself as an integral part of the business rather than working in an isolated fashion with only a product owner as a proxy for the business. A Changing Landscape. What about DevOps?

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Handling real-time data operations in the enterprise

O'Reilly Media - Data

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations donโ€™t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.