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The Right Stuff: The Role of MLOps in AI Success

CIO

Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. The biggest divide between data scientists and IT often centers around the tools necessary to develop AI models. This gap is a significant reason why AI pilot projects fail. “AI

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Data Engineers of Netflix?—?Interview with Kevin Wylie

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. In his free time he enjoys gardening and playing sports with his 4 kids.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. The team experimented with using Just Ask with the TPO tool, and quickly saw it as the key to fulfilling the tool’s promise.

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Enhancing customer care through deep machine learning at Travelers

CIO

Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s s SVP and chief data & analytics officer, has a crowâ??s This is kind of a team sport for us, so itâ??s And I would say this is kind of a team sport for us, so itâ??s

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6 Frontiers for Data Virtualization in 2021

TIBCO - Connected Intelligence

Imagine you’re a data engineer at a Fortune 1000 company. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion. But first-generation data virtualization tools are designed for data at rest.

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

O'Reilly Media - Data

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May.

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Win-Win: Everyone Benefits from Adding Data Virtualization to Your Data Integration Toolbox

TIBCO - Connected Intelligence

Sports are like that. That’s what I like about data virtualization. By adding data virtualization to your data integration toolbox, everyone can win across your organization—from data consumers to data engineers. . A Win for Data Consumers. A Win for Data Engineers. Someone wins.