O'Reilly

tech

Tech

ML, Data, Geo

O'Reilly Radar tracks the technologies and people that will shape our world in the years to come. Each episode of O'Reilly Radar features an interview with an industry thought leader, with topics touching on everything from programming to data to experience design. We also take a step back from the breathless pace of the latest tech news to examine why new developments are important and what they might mean down the road.

O'Reilly Radar Podcast

O'REILLY

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

O'Reilly's Ben Lorica chats with Anima Anandkumar about tensor decomposition techniques for machine learning.

The Tensor Renaissance In Data Science

O'Reilly's Mike Hendrickson chats with database pioneer and 2014 Turing Award recipient Michael Stonebraker about winning the award, the future of data science, and the importance — and difficulty — of data curation.

The Future of Data at Scale

Joe Biron, VP of IoT technology at ThingWorx, on how the IoT entails a flexible platform approach to accommodate new applications that haven’t been conceived yet.

Joe Biron on Whats New About the IoT

Katie Dill on designing for seven billion people, hiring good people, and the triforce.

Airbnb's Design Approach

Mike Kuniavsky, a principal scientist in the Innovation Services Group at PARC, on designing for the Internet of Things ecosystem and why the most interesting thing about the IoT isn’t the “things” but the sensors. He also talks about his deep-seated love for appliances and furniture, and how intelligence will affect those industries.

Mike Kuniavsky on the Tectonic Shift of the IoT

Kristian Hammond, Narrative Science’s chief scientist, on Natural Language Generation, Narrative Science’s shift into the world of business data, and evolving beyond the dashboard.

Kristian Hammond on Truly Democratizing Data and the Value of AI in the Enterprise

O'Reilly's Jenn Webb chats with Jeff Jonas, an IBM fellow and chief scientist of context computing, Ironman triathlete, and contributing author to the new book, "Privacy in the Modern Age: The Search for Solutions." Jonas talks about applications of context-aware computing, his new G2 software, and astroid hunting with astronomers at the University of Honolulu.

Jeff Jonas on Context Computing, Irresistible Surveillance, and Hunting Astroids

Our guest on this week’s episode of the O’Reilly Hardware Podcast is Robert Brunner. Brunner was director of industrial design at Apple from 1989 to 1996, overseeing the design of the PowerBook. He was the chief designer of Beats by Dr. Dre, the design-driven line of headphones that Apple acquired for $3 billion last year. And he’s the founder of Ammunition, which has worked with startups and large companies on a wide range of innovative consumer products.

Robert Brunner on Designing and Building Great Products

Dave Zwieback, head of engineering at Next Big Sound and CTO of Lotus Outreach, talks about his new book, "Beyond Blame: Learning from Failure and Success," the framework for conducting a “learning review,” and how humans can keep pace with the growing complexity of the systems we’re building.

Dave Zwieback on Learning Reviews and Humans Keeping Pace With Complex Systems

In this week’s Radar Podcast episode, O’Reilly’s Mac Slocum delves into the economy with two speakers from our recent Next:Economy conference. First, Slocum talks with Leah Busque, founder of TaskRabbit, about service networking, TaskRabbit’s goals, and issues facing the peer economy. In the second segment, Slocum talks with Dan Teran, co-founder of Managed by Q, about the on-demand economy and the future of work.


Leah Busque and Dan Teran on the Future of Work

This episode of the Hardware Podcast features Jon Bruner's second discussion with Joe Biron, VP of IoT technology at ThingWorx, a PTC business that offers a platform for rapid deployment of Internet of Things applications.

Joe Biron on IoT Platforms

In this special holiday episode of the Radar Podcast, we’re featuring a cross-over of the O’Reilly Data Show Podcast, which you can find on iTunes, Stitcher, TuneIn, or SoundCloud. O’Reilly’s Ben Lorica hosts that podcast, and in this episode, he chats with Apache Spark release manager and Databricks co-founder Patrick Wendell about the roadmap of Spark and where it’s headed, and interesting applications he’s seeing in the growing Spark ecosystem.

Patrick Wendell on Spark's Roadmap, Spark R API, and Deep Learning on the Horizon

In this episode, I sit down with Brad Knox, founder and CEO of Emoters, a startup building a product called bots_alive—animal-like robots that have a strong illusion of life. We chat about the approach the company is taking, why robots or agents that pass themselves off as human without any transparency should be illegal, and some challenges and applications of reinforcement learning and interactive machine learning.

Brad Knox on Creating a Strong Illusion of Life

This week we're featuring a conversation from earlier this year—O'Reilly's Mary Treseler chats with Giles Colborne, managing director of cxpartners. They talk about the transformative effects of AI on design, designing for natural language interactions, and why designers need to nurture the ability to reinvent themselves.

Giles Colborne on AI's Move From Academic Curiosity to Mainstream Tech

On this week's episode of the Radar Podcast, O'Reilly's Mac Slocum chats with award-winning author Pagan Kennedy about the art and science of serendipity—how people find, invent, and see opportunities nobody else sees, and why serendipity is actually a skill rather than just dumb luck.

Pagan Kennedy on How People Find, Invent, and See Opportunities Nobody Else Sees

This week, I sit down with anthropologist, futurist, Intel Fellow, and director of interaction and experience research at Intel, Genevieve Bell. We talk about what she’s learning from current AI research, why the resurgence of AI is different this time, and five things that are missing from the AI conversation.

Genevieve Bell on Moving From Human-Computer Interactions to Human-Computer Relationships

This week, I sit down with Tom Davenport. Davenport is a professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a fellow at the MIT Center for Digital Business, and a senior advisor for Deloitte Analytics. He also pioneered the concept of “competing on analytics.” We talk about how his ideas have evolved since writing the seminal work on that topic, Competing on Analytics: The New Science of Winning; his new book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, which looks at how AI is impacting businesses; and we talk more broadly about how AI is impacting society and what we need to do to keep ourselves on a utopian path.

Tom Davenport on Mitigating AI's Impact on Jobs and Business

In this week's Radar Podcast, O’Reilly’s Mac Slocum chats with Sara Watson, a technology critic and writer in residence at Digital Asia Hub. Watson is also a research fellow at the Tow Center for Digital Journalism at Columbia and an affiliate with the Berkman Klein Center for Internet and Society at Harvard. They talk about how to optimize personalized experience for consumers, the role of machine learning in this space, and what will drive the evolution of personalized experiences.

Sara Watson on Optimizing Personalized Experiences

This week, I sit down with David Beyer, an investor with Amplify Partners. We talk about machine learning and artificial intelligence, the challenges he’s seeing in AI adoption, and what he thinks is missing from the AI conversation.

AI Adoption at the Atomic Level of Jobs and Work

This week, I sit down with Aman Naimat, senior vice president of technology at Demandbase, and co-founder and CTO of Spiderbook. We talk about his project to build a knowledge graph of the entire business world using natural language processing and deep learning. We also talk about the role AI is playing in those companies today and what’s going to drive AI adoption in the future.

Aman Naimat on Building a Knowlege Graph of the Entire Business World

In this episode of the Data Show, I spoke with Reza Zadeh, adjunct professor at Stanford University, co-organizer of ScaledML, and co-founder of Matroid, a startup focused on commercial applications of deep learning and computer vision. Zadeh also is the co-author of the forthcoming book TensorFlow for Deep Learning (now in early release). Our conversation took place on the eve of the recent ScaledML conference, and much of our conversation was focused on practical and real-world strategies for scaling machine learning. In particular, we spoke about the rise of deep learning, hardware/software interfaces for machine learning, and the many commercial applications of computer vision.

Scaling Machine Learning

Jon Bruner and Mike Loukides talk about the classical music publishing industry and how it's being disrupted by projects like the Petrucci Music Library (http://imslp.org/) that make public-domain scores available online.

The future of classical music

Jim Stogdill, Edd Dumbill and Roger Magoulas have a conversation about in-memory databases and the impact on real time analysis. Leave questions and comments for us at http://radar.oreilly.com/2013/05/talking-about-in-memory.html

Talking about in-memory

Jon Bruner, Mike Loukides and Jim Stogdill from O'Reilly Radar muse on the return of software to the physical world.

Software and the physical world

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about anthropology in big data, advances in JavaScript, searching for ancient civilizations, the importance of context, and good sites for checking the weather.

Related blog post: http://radar.oreilly.com/2013/06/radar-podcast-anthropology-big-data-and-the-importance-of-context.html

Anthropology, big data, and the importance of context

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about what's been on their minds this week: the NSA's surveillance programs, what defense contractors will do with their technology as defense budgets dry up, and a Californian who isn't doing what you think he's doing with hydroponics.

For more on these topics, and links to the things we talked about, see http://radar.oreilly.com/2013/06/radar-podcast-the-internet-of-things-prism-and-defense-technology-that-goes-civilian.html.

The Internet of Things, PRISM, and defense technology that goes civilian

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.