[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future. In this episode of the Data Show, I spoke with Bruno Fernandez-Ruiz, co-founder and CTO of Nexar. We first met when he was leading Yahoo! technicalContinue reading “Vehicle-to-vehicle communication networks can help fuel smart cities”
Author Archives: Ben Lorica
Transforming organizations through analytics centers of excellence
[A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Carme Artigas on helping enterprises transform themselves with big data tools and technologies. In this episode of the Data Show, I spoke with Carme Artigas, co-founder and CEO of Synergic Partners (a Telefonica company). As more companies adopt bigContinue reading “Transforming organizations through analytics centers of excellence”
The state of machine learning in Apache Spark
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia explore the rich ecosystem of analytic tools around Apache Spark. In this episode of the Data Show, we look back to a recent conversation I had at the Spark Summit in San Francisco with IonContinue reading “The state of machine learning in Apache Spark”
Effective mechanisms for searching the space of machine learning algorithms
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Kenneth Stanley on neuroevolution and other principled ways of exploring the world without an objective. In this episode of the Data Show, I spoke with Ken Stanley, founding member of Uber AI Labs and associate professor at the University ofContinue reading “Effective mechanisms for searching the space of machine learning algorithms”
The current state of applied data science
[A version of this post appears on the O’Reilly Radar.] Recent trends in practical use and a discussion of key bottlenecks in supervised machine learning. As we enter the latter part of 2017, it’s time to take a look at the common challenges faced by companies interested in using data science and machine learning (ML).Continue reading “The current state of applied data science”
How Ray makes continuous learning accessible and easy to scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Robert Nishihara and Philipp Moritz on a new framework for reinforcement learning and AI applications. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episodeContinue reading “How Ray makes continuous learning accessible and easy to scale”
Why continuous learning is key to AI
[A version of this post appears on the O’Reilly Radar.] A look ahead at the tools and methods for learning from sparse feedback. As more companies begin to experiment with and deploy machine learning in different settings, it’s good to look ahead at what future systems might look like. Today, the typical sequence is toContinue reading “Why continuous learning is key to AI”
Why AI and machine learning researchers are beginning to embrace PyTorch
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Soumith Chintala on building a worthy successor to Torch and deep learning within Facebook. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Why AI and machine learning researchers are beginning to embrace PyTorch”
How big data and AI will reshape the automotive industry
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Evangelos Simoudis on next-generation mobility services. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Evangelos Simoudis,Continue reading “How big data and AI will reshape the automotive industry”
A framework for building and evaluating data products
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Pinterest data scientist Grace Huang on lessons learned in the course of machine learning product launches. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher,Continue reading “A framework for building and evaluating data products”