Productized AI

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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Signal Hubs: The Next Generation of Machine-Learning

The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information. There is a convergence taking place in cutting-edge applications: The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information. The next generation of applications won’t […]

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