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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Is Google Search Fair? A Podcast with Lucidworks’ Grant Ingersoll

In this edition of the Early Adopter Research podcast, Dan Woods speaks with Grant Ingersoll, contributor to Solr, cofounder and CTO of Lucidworks, and cofounder of the Mahout Machine Learning Open Source Project, to discuss the fairness of Google search. Recently, President Trump has grabbed headlines by asserting that Google’s search algorithm is unfair. While […]

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Podcast with Optic’s Aidan Cunniffe on the Automation of Programming

In this latest episode of the Early Adopter Research Podcast, Dan Woods speaks with Aidan Cunniffe, the founder and CEO of Optic. Optic is a company focused on automating many of the routine tasks of coding and programming. Optic uses machine learning and AI to understand a company’s existing code and then generate new code […]

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Palo Alto Network’s Naveen Zutshi on how to make the CIO a data-driven hero

Let’s face it: for some time now, the IT department has not practiced what it’s preached for the rest of the business: Invest in gathering, synthesizing, analyzing, and operationalizing data to improve the business. For the same reason that it’s been difficult for the business to follow its advice, it’s also been hard for IT. […]

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Podcast on Data Fabric with MapR CEO John Schroeder

John Schroeder is the founder and CEO of MapR. He has extensive experience in enterprise software, having worked at Calista Technologies, Rainfinity, BRYO, and Compuware. Our conversation focused on MapR’s unique data fabric technology, which is an evolution of the data warehouse and data lake. The data fabric expands upon these earlier repositories to push […]

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How systems of intelligence drive change at P&G

Until now, IT has largely existed outside the realm of analytics and metrics that we apply to every other area of the enterprise. There’s an obvious irony here: IT is ensuring that every other segment of the company has products to assess performance while not having the same accountability for itself. That is starting to […]

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