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 […]
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, […]
Donald Trump raised the issue of the fairness of Google search. Citing a variety of specious sources, he asked, “Is the Google Search ranking algorithm biased in some way?” While I don’t think he really has much of a point, it is interesting to think about why search is the way it is, and does […]
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 […]
Dan Woods brings the context of more than 25 years of experience in technology and journalism to his speaking engagements. Having interviewed more than 1,000 technology experts and authored more than 20 books, Dan adapts his vision of making technology work to virtually any context.
If you are facing a thorny IT problem, Dan Woods can probably solve it. Dan’s background as a CTO and his 25 years in the technology industry enable him to create new technology architectures and debug organizational problems while allowing everyone to be heard.
