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It’s well understood that bitcoin can be used to buy and sell things/services, and the ecosystem of people accepting the cryptocurrency as payment is expanding. But what else can we use the underlying protocol for? How can we expand the same system that enables bitcoin-the-currency to flow and transactions to be recorded? This discussion (from the a16z Academic Roundtable 2014) examines that question, and answers why the currency is just the beginning of the story when it comes to this technology. You can watch video of the entire discussion here: http://a16z.com/2014/10/24/the-bitcoin-network-effect/

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a16z Podcast: Beyond Bitcoin -- The Blockchain

In this week’s Design Podcast episode, I sit down with Joel Marsh, designer and author of UX for Beginners. We talk about design as a scientific way of thinking, what happens when you try to cash a check in Sweden, combining behavioral economics and design, and why learning design is like learning to play the piano.

Joel Marsh on the Science of Design

Intel's Trusted Analytics Platform (TAP) combines open source components to make data analytics and data applications easier to manage. O'Reilly's Rachel Roumeliotis and Intel's Chuck Freedman talk about TAP's functionality.

A data platform for data scientists, DevOps, and developers

In this episode of the O’Reilly Data Show, I spoke with Mikio Braun, delivery lead and data scientist at Zalando. After spending previous years in academia, Braun recently made the decision to switch to industry. He shared some observations about building large-scale systems, particularly deploying data applications in production systems. Given his longstanding background as a machine learning researcher and practitioner, I wanted to get his take on topics like deep learning, hybrid systems, feature engineering, and AI applications.

Practical Machine Learning Techniques for Building Intelligent Applications

In this episode of the Data Show, I spoke with Mike Tung, founder and CEO of Diffbot - a company dedicated to building large-scale knowledge databases. Diffbot is at the heart of many web applications, and it’s starting to power a wide array of intelligent applications. We talked about the challenges of building a web-scale platform for doing highly accurate, semi-supervised, structured data extraction. We also took a tour through the AI landscape, and the early days of self-driving cars.

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