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 evolution and expanding utility of Ray

[A version of this post appears on the O’Reilly Radar.] There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science. In a recent post, I listed some of the early use cases described in the first meetup dedicated to Ray—a distributed programming frameworkContinue reading “The evolution and expanding utility of Ray”

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”

How machine learning impacts information security

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies. In this episode of the Data Show, I spoke with Andrew Burt, chief privacy officer and legal engineer at Immuta, a company building data management tools tuned forContinue reading “How machine learning impacts information security”

7 data trends on our radar

[A version of this post appears on the O’Reilly Radar.] From infrastructure to tools to training, here’s what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training In a recent O’Reilly survey,Continue reading “7 data trends on our radar”

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”

Managing risk in machine learning

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin byContinue reading “Managing risk in machine learning”

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”