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 […]
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: […]
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 […]
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 […]
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. […]
