Data Science
December 29, 2020 || by Dan Woods || Data Science, digital transformation, Podcasts, Q&As ||
This episode of the Designing Enterprise Platforms podcast from Early Adopter Research (EAR) focuses on a topic that is pandemic related. The episode is about the key internal usability metrics for understanding the productivity impact of the pandemic. EAR’s Dan Woods speaks with Brian Berns, the CEO of KNOA, a company that focuses on tracking […]
Tags: KNOA
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January 8, 2020 || by Dan Woods || Cloud, Data Science, digital transformation, External Data, Podcasts, Q&As ||
On the latest edition of the Designing Enterprise Platforms Podcast from Early Adopter Research (EAR), EAR’s Dan Woods spoke with Raj Dutt, CEO of Grafana, about observability. It’s a concept that Woods has been studying since learning of what Etsy did to make the development process faster. Etsy created huge amounts of observability so they […]
Tags: grafana labs, observability
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October 22, 2019 || by Dan Woods || Data Science, Data Supply Chain, Podcasts, Q&As ||
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 […]
Tags: dataops, devops
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August 28, 2019 || by Dan Woods || Blogs & Articles, Cloud, Data Science, Data Supply Chain, digital transformation, External Data ||
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 […]
Tags: dataops, devops, hitachi vantara
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June 25, 2019 || by Dan Woods || Blogs & Articles, Data Science, External Data ||
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 […]
Tags: cambridge semantics, ETL, semantics
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May 7, 2019 || by Jennifer Walker || Blogs & Articles, Data Science, Q&As ||
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 […]
Tags: research
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May 6, 2019 || by Jennifer Walker || Blogs & Articles, Data Science, Podcasts ||
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 […]
Tags: leanne waldal, research
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October 12, 2018 || by Dan Woods || Blogs & Articles, Data Lake, Data Science, Data Supply Chain ||
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, […]
Tags: AI, Arcadia Data, big data, data native
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December 9, 2017 || by Dan Woods || Blogs & Articles, Data Lake, Data Science, Data Supply Chain ||
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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December 9, 2017 || by Dan Woods || Blogs & Articles, Data Science ||
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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