Bringing scalable real-time analytics to the enterprise

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. In this episode of the Data Show, I spoke with Dhruba Borthakur (co-founder and CTO) and Shruti Bhat (SVP of Product) of Rockset, a startup focused on building solutions for interactive data science and liveContinue reading “Bringing scalable real-time analytics to the enterprise”

Applications of data science and machine learning in financial services

The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China. In this episode of the Data Show, I spoke with Jike Chong, chief data scientist at Acorns, a startup focused on building tools for micro-investing. Chong has extensive experience using analytics and machine learning inContinue reading “Applications of data science and machine learning in financial services”

Real-time entity resolution made accessible

The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. In this episode of the Data Show, I spoke with Jeff Jonas, CEO, founder and chief scientist of Senzing, a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computingContinue reading “Real-time entity resolution made accessible”

Why companies are in need of data lineage solutions

The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show, I spoke with Neelesh Salian, software engineer at Stitch Fix, a company that combines machine learning and human expertise to personalize shopping. As companies integrate machine learning into their products and systems,Continue reading “Why companies are in need of data lineage solutions”

What data scientists and data engineers can do with current generation serverless technologies

The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future. In this episode of the Data Show, I spoke with Avner Braverman, co-founder and CEO of Binaris, a startup that aims to bring serverless to web-scale and enterprise applications. This conversation took placeContinue reading “What data scientists and data engineers can do with current generation serverless technologies”

It’s time for data scientists to collaborate with researchers in other disciplines

The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning. In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive machine learning. As models and algorithmsContinue reading “It’s time for data scientists to collaborate with researchers in other disciplines”

Algorithms are shaping our lives – here’s how we wrest back control

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms. In this episode of the Data Show, I spoke with Kartik Hosanagar, professor of technology and digital business, and professor of marketing at The Wharton School of the University ofContinue reading “Algorithms are shaping our lives – here’s how we wrest back control”

Why your attention is like a piece of contested territory

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business. In this episode of the Data Show, I spoke with P.W. Singer, strategist and senior fellow at the New America Foundation, and a contributing editor at Popular Science.Continue reading “Why your attention is like a piece of contested territory”

The technical, societal, and cultural challenges that come with the rise of fake media

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis. In this episode of the Data Show, I spoke with Siwei Lyu, associate professor of computer science at the University at Albany, State University of New York. LyuContinue reading “The technical, societal, and cultural challenges that come with the rise of fake media”

Using machine learning and analytics to attract and retain employees

[A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit. In this episode of the Data Show, I spoke with Maryam Jahanshahi, research scientist at TapRecruit, a startup that uses machine learning and analytics to helpContinue reading “Using machine learning and analytics to attract and retain employees”