In the age of AI, fundamental value resides in data

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China. In this episode of the Data Show, I spoke with Haoyuan Li, CEO and founder of Alluxio, a startup commercializing the open source project with the same name (full disclosure:Continue reading “In the age of AI, fundamental value resides in data”

Tools for generating deep neural networks with efficient network architectures

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning. In this episode of the Data Show, I spoke with Alex Wong, associate professor at the University of Waterloo, and co-founder of DarwinAI, a startup that uses AI toContinue reading “Tools for generating deep neural networks with efficient network architectures”

Building tools for enterprise data science

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science. In this episode of the Data Show, I spoke with Vitaly Gordon, VP of data science and engineering at Salesforce. As the use of machine learning becomes more widespread,Continue reading “Building tools for enterprise data science”

Lessons learned while helping enterprises adopt machine learning

[A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process. In this episode of the Data Show, I spoke with Francesca Lazzeri, an AI and machine learning scientist at Microsoft, and herContinue reading “Lessons learned while helping enterprises adopt machine learning”

Machine learning on encrypted data

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security. In this episode of the Data Show, I spoke with Alon Kaufman, CEO and co-founder of Duality Technologies, a startup building tools that will allow companies to apply analyticsContinue reading “Machine learning on encrypted data”

How social science research can inform the design of AI systems

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems. In this episode of the Data Show, I spoke with Jacob Ward, a Berggruen Fellow at Stanford University. Ward has an extensive background in journalism, mainly covering topics in science andContinue reading “How social science research can inform the design of AI systems”

Why it’s hard to design fair machine learning models

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness. In this episode of the Data Show, I spoke with Sharad Goel, assistant professor at Stanford, and his student Sam Corbett-Davies. They recently wrote a surveyContinue reading “Why it’s hard to design fair machine learning models”

Using machine learning to improve dialog flow in conversational applications

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show, I spoke with Alan Nichol, co-founder and CTO of Rasa, a startup that builds open source tools to help developersContinue reading “Using machine learning to improve dialog flow in conversational applications”

Building accessible tools for large-scale computation and machine learning

[A version of this post appears on the O’Reilly Radar.] In this episode of the Data Show, I spoke with Eric Jonas, a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated with UC Berkeley’s RISE Lab. It was at a RISE Lab event that he first announced Pywren, a frameworkContinue reading “Building accessible tools for large-scale computation and machine learning”

Simplifying machine learning lifecycle management

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production. In this episode of the Data Show, I spoke with Harish Doddi, co-founder and CEO of Datatron, a startup focused on helping companies deploy and manage machine learning models. AsContinue reading “Simplifying machine learning lifecycle management”