machine learning

Why Data Supply Chains Matter: A Q&A with TreeHive’s Donald Farmer

The data supply chain has been a central focus of Early Adopter Research and Dan Woods. Recently, Woods had the chance to speak with TreeHive Strategy’s Donald Farmer for the Early Adopter Podcast. Woods and Farmer have worked together in a variety of capacities in the past, but their discussion for the podcast focused on […]

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Is AI Dependent on AI: A Q&A with H2O.ai’s Sri Ambati

It seems like every product on the market today advertises its use of AI. But separating AI myth from reality is crucial for businesses wanting to make the right decisions about what products to adopt. Recently, Early Adopter’s Dan Woods spoke with Sri Ambati, CEO of H2O.ai. Woods wrote about the company in 2015, where […]

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Open Source AI: Early Adopter Podcast with H2O.ai’s Sri Ambati

In this edition of the Early Adopter Research Podcast, Dan Woods speaks with Sri Ambati of H2O.ai, a data science and machine learning platform. One of the features of H2O.ai that makes it unique though is that it is based on open source. Woods and Ambati explore the implications of this, as well as a […]

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Using AI To Spend Smarter: A Podcast with Coupa’s Rob Bernshteyn

In today’s Early Adopter Podcast, Dan Woods speaks with Rob Bernshteyn of Coupa about all things AI and machine learning. Coupa is a company focused on helping companies learn how to better manage their spending and the Coupa platform utilizes AI and ML to make that happen. You can read a Q&A of the conversation […]

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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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