Data Science

What Can DevOps Teach Us About DataOps? A Podcast with Laird Popkin

In the latest episode of the Designing Enterprise Platforms podcast from Early Adopter Research (EAR), EAR’s Dan Woods spoke with Laird Popkin, who most recently served as CTO of the Hearst Transportation Group, which is a group of B2B companies that provide data and data services related to cars, trucks, and airplanes. Popkin previously worked […]

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How DataOps Will Differ From DevOps

The idea of DataOps is rightfully generating a lot of excitement. Anyone who has seen up close what DevOps has done for development knows that applying the same principles to data management will be transformational.  As part of a research project I am doing with Lothar Schubert at Hitachi Vantara, I’ve been digging deeply into […]

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Are Semantics the Undead of Enterprise Tech? They Keep Coming Back to Life

Semantic standards have been with us since the birth of the web, when it became clear to inventors of the web like Tim Berners-Lee and many others that meaning could be systematically captured, organized, and exploited to do valuable tasks. Since then, the idea of applying formal semantics to enterprise data has come and faded […]

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Today’s Enterprise Research Landscape: A Q&A with Leanne Waldal

On a recent episode of the Early Adopter Research (EAR) Designing Enterprise Platforms Podcast, EAR’s Dan Woods spoke with Leanne Waldal, a leading technology researcher who understands how to create programs and manage research and analytics departments to support product development and design. Her career has spanned many different areas including user experience research. The […]

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Integrating Research Successfully: A Podcast with Leanne Waldal

In this episode of the Early Adopter Research (EAR) Designing Enterprise Platforms Podcast, EAR’s Dan Woods spoke with Leanne Waldal, a leading technology researcher who understands how to create programs and manage research and analytics departments to support product development and design. Her career has spanned many different areas including user experience research. The Designing […]

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Why Analysts Need Hands-On Access to Big Data: The Case for the Data-Native Approach

We’ve now gone down the road with big data and data lakes and the rise of AI and machine learning powered techniques long enough that it’s appropriate to take a step back and ask a few basic questions about what we’re trying to do and how we’re trying to do it. What’s interesting to me, […]

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Operational Intelligence for CITOs

Operational Intelligence refers to a new category of methods and technology for gaining visibility into business operations, discovering insights, and then rapidly taking effective action, frequently through automation. Operational Intelligence refers to a new category of methods and technology for gaining visibility into business operations, discovering insights, and then rapidly taking effective action, frequently through […]

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Growing Your Own Data Scientists

CIOs and CTOs must learn to address a challenge, involving the divide between the people who know about the vast amount of new sources of data emanating from machines and other devices (“big data”) and the questions in the enterprise whose answers can be monetized. CIOs and CTOs must learn to address a challenge, involving […]

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How Machine Data and Operational Intelligence Can Supercharge Business Applications, Part I

Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: “Business […]

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