[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”
Tag Archives: podcast
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”
How privacy-preserving techniques can lead to more robust machine learning models
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning. In this episode of the Data Show, I spoke with Chang Liu, applied research scientist at Georgian Partners. In a previous post, I highlighted early toolsContinue reading “How privacy-preserving techniques can lead to more robust machine learning models”
Specialized hardware for deep learning will unleash innovation
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture. In this episode of the Data Show, I spoke with Andrew Feldman, founder and CEO of Cerebras Systems, a startup in the blossoming area of specializedContinue reading “Specialized hardware for deep learning will unleash innovation”
Data regulations and privacy discussions are still in the early stages
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy. In this episode of the Data Show, I spoke with Aurélie Pols of Mind Your Privacy, one of my go-to resources when it comes to data privacy and data ethics. This interview tookContinue reading “Data regulations and privacy discussions are still in the early stages”
Managing risk in machine learning models
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Andrew Burt and Steven Touw on how companies can manage models they cannot fully explain. In this episode of the Data Show, I spoke with Andrew Burt, chief privacy officer at Immuta, and Steven Touw, co-founder and CTO of Immuta.Continue reading “Managing risk in machine learning models”
The real value of data requires a holistic view of the end-to-end data pipeline
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications. In this episode of the Data Show, I spoke with Ashok Srivastava, senior vice president and chief data officer at Intuit. He has a strong science andContinue reading “The real value of data requires a holistic view of the end-to-end data pipeline”
The evolution of data science, data engineering, and AI
[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”
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”
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”