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, […]
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 […]
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 […]
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 […]
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 […]
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: […]