[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: A special episode to mark the 100th episode. This episode of the Data Showmarks our 100th episode. This podcast stemmed out of video interviews conducted at O’Reilly’s 2014 Foo Camp. We had a collection of friends who were key membersContinue reading “The evolution of data science, data engineering, and AI”
Author Archives: Ben Lorica
Companies in China are moving quickly to embrace AI technologies
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China. In this episode of the Data Show, I spoke with Jason Dai, CTO of Big Data Technologies at Intel, and one of my co-chairs for the AI ConferenceContinue reading “Companies in China are moving quickly to embrace AI technologies”
How to build analytic products in an age when data privacy has become critical
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. In this post, I share slides and notes from a talk I gave in March 2018 at the Strata Data Conference in California, offering suggestions for how companies may want to buildContinue reading “How to build analytic products in an age when data privacy has become critical”
Building tools for the AI applications of tomorrow
[A version of this post appears on the O’Reilly Radar.] We’re currently laying the foundation for future generations of AI applications, but we aren’t there yet. By Ben Lorica and Mike Loukides For the last few years, AI has been almost synonymous with deep learning (DL). We’ve seen AlphaGo touted as an example of deepContinue reading “Building tools for the AI applications of tomorrow”
Teaching and implementing data science and AI in the enterprise
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science. In this episode of the Data Show, I spoke with Jerry Overton, senior principal and distinguished technologist at DXC Technology. I wanted the perspectiveContinue reading “Teaching and implementing data science and AI in the enterprise”
The importance of transparency and user control in machine learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations. In this episode of the Data Show, I spoke with Guillaume Chaslot, an ex-YouTube engineer and founder of AlgoTransparency, an organization dedicated to helping the public understand the profound impact algorithms have on ourContinue reading “The importance of transparency and user control in machine learning”
What machine learning engineers need to know
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jesse Anderson and Paco Nathan on organizing data teams and next-generation messaging with Apache Pulsar. In this episode of the Data Show, I spoke Jesse Anderson, managing director of the Big Data Institute, and my colleague Paco Nathan, who recentlyContinue reading “What machine learning engineers need to know”
How to train and deploy deep learning at scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning. In this episode of the Data Show, I spoke with Ameet Talwalkar, assistant professor of machine learning at CMU and co-founder of Determined AI. He was an early and key contributor to Spark MLlibContinue reading “How to train and deploy deep learning at scale”
Using machine learning to monitor and optimize chatbots
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ofer Ronen on the current state of chatbots. In this episode of the Data Show, I spoke with Ofer Ronen, GM of Chatbase, a startup housed within Google’s Area 120. With tools for building chatbots becoming accessible, conversational interfaces areContinue reading “Using machine learning to monitor and optimize chatbots”
Unleashing the potential of reinforcement learning
[A version of they post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized. In this episode of the Data Show, I spoke with Danny Lange, VP of AI and machine learning at Unity Technologies. Lange previously ledContinue reading “Unleashing the potential of reinforcement learning”