Using Graphs to Fight Diabetes: A Podcast with Alexander Jarasch

In this episode of the Early Adopter Research Podcast, Dan Woods speaks with Alexander Jarasch, the head of the German Center for Diabetes Research, about the power of knowledge graphs and how they’re helping in the fight against diseases. The conversation covers the following topics: 1:40 – Why graphs seemed like an appealing technology to […]

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Graphing the Future: A Podcast with Neo4j’s Jeff Morris

In this episode of the Early Adopter Research Podcast, Dan Woods speaks with Neo4j’s Jeff Morris. Woods had participated in Neo4j’s graph tour and this conversation draws on that experience to discuss the power and potential of graph technology, and putting that technology into production. Their conversation covers: 2:40 – What is the checklist for […]

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A Graph Language To Rule Them All: A Podcast with Neo4j’s Alastair Green on GQL

On this episode of the Early Adopter Research Podcast, Dan Woods speaks with Neo4j’s Alastair Green and Stefan Plantikow about creating a new standard graph query language (GQL). Woods has written about the rationale behind creating GQL before. The conversation touches on Green’s GQL Manifesto as well as: 2:20 – The need for a graph […]

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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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Harnessing Big Data: A Podcast with Arcadia Data’s Sushil Thomas

In this edition of the Early Adopter Research Podcast, Dan Woods spoke with Sushil Thomas, co-founder and CEO of Arcadia Data, while both were at Strata NYC. Woods has written about how Arcadia Data’s platform is attempting to save the data lake by making it more actionable and useful for companies — and not just a […]

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AI Isn’t Magic: A Podcast with MapR’s Ellen Friedman and Ted Dunning

We’re back with another edition of the Early Adopter Research Podcast. In this episode, Dan woods speaks with Ellen Friedman, a principal technologist and Ted Dunning, Chief Application Architect at MapR Technologies. Dunning and Friedman have recently completed books, and the conversation covers their insights on when it makes sense to create your own AI […]

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A Podcast on the Extreme Data Economy with Kinetica’s Michael Mahoney

In this episode of the Early Adopter Research Podcast, Dan Woods sits down with Michael Mahoney, VP of Worldwide Solutions Engineering at Kinetica, to discuss the steps companies need to take to become data-powered organizations. Their conversation covers all aspects of the big data universe and touches on: 4:10 – Kinetica’s definition of the Extreme […]

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The Future of Data: A Podcast with Syncsort’s CTO Tendu Yogurtcu

In the latest edition of the Early Adopter Research Podcast, Dan Woods speaks with Tendu Yogurtcu, CTO of Syncsort, during the Strata NYC Conference. Dan covered Syncsort’s technology in a recent article for Forbes in which he describes how the company is helps businesses manage their entire data supply chain. Today’s conversation covers a gamut […]

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The future of big data: A podcast with Syncsort’s Josh Rogers

In this latest edition of the Early Adopter Research Podcast, Dan Woods speaks with Syncsort’s CEO, Josh Rogers, about all things big data. Their conversation covers the changes to the big data landscape over the past decade, as well as how the questions companies ask of big data are evolving over time. It also includes: […]

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