user experience

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A comprehensive collection of talks from around the world on the subjects of User Experience, Strategy & Design Thinking. Learn more at https://kyro.com.au

User Experience (UX)

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

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Accessibility begins with design, and as designers we need to set the right foundations before writing even a single line of code.

http://justuxdesign.com/blog/designing-for-accessibility

Designing for accessibility - Just UX Design

In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

Building Apache Kafka From Scratch

O'Reilly's Ben Lorica chats with Michael Stack to get an update on the Apache HBase project.

Coming Full Circle With Bigtable and HBase

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 Ben Lorica chats with Gary Kazantsev, who runs the R&D Machine Learning group at Bloomberg LP, about how big data and data science are making a difference in finance.

Data Science Makes an Impact on Wall Street

O'Reilly's Jenn Webb chats with Cait O’Riordan, VP of product, music and platforms at Shazam, about the current state of predictive analytics and how Shazam is able to predict the success of a song, and how the Internet of Things affects Shazam’s product life cycles as well as the behaviors of their users. Jenn also chats with Francine Bennett, CEO and cofounder of Mastodon C, about unintentional uses of data for evil and how data scientists can ensure their work stays on the data for good side of that line.

How Shazam Predicts Pop Hits

Marcus Schössow is back on his own imprint Code Red with 'Smile'. A happy disco influenced house track that once again proves the label stands for groovy house music. "I want our releases to have a good vibe and sexy feel", Schössow explains. 

With 'Smile', Code Red's founder shows again he isn't afraid to explore different genres and sounds. Schössow says Code Red has to become a community rather than just the next record label by a dj. "We are all our own A&R's, so why limit our taste and creativity?" 

Code Red's second release goes the name 'Smile' because it actually makes people smile. Not only because Schössow says so, but also according all the positive reactions online. A smile Marcus will bring to the USA and Asia during his Code Red tour this summer.

www.facebook.com/marcusschossow
twitter.com/marcusschossow
@marcusschossow

www.facebook.com/coderedworld
twitter.com/coderedworld
@coderedworld

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Marcus Schossow - Smile // OUT NOW

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

O'Reilly's Mary Treseler chats with AlertMe founder Pilgrim Beart about why the scale of the Internet of Things creates as many challenges as it does opportunities. He also talked about the “gnarly problems” emerging from consumer wants and behaviors.

"Internet of Things" Has Come to Mean Everything, and Therefore Nothing

O'Reilly's Ben Lorica chats with Ihab Ilyas, professor at the University of Waterloo and co-founder of Tamr, about how he started working on data cleaning tools, academic database research, and training computer science students for positions in industry.

Why Data Preparation Frameworks Rely on Human-in-the-Loop Systems

Tim O'Reilly chats with Google X's Astro Teller about moonshots, the relationship between technology and society, the learning process for hardware, and more.

To Create the Future We Want, We Need More Moonshots

O'Reilly's Mike Hendrickson chats with Autodesk research fellow Mickey McManus about engaging with extreme users and what's going to happen when we have trillions of things sending billions of messages. McManus also talked about how we can prepare for the coming era of unbounded malignant complexity.

Trillions of Things Sending Billions of Messages

O'Reilly's Mac Slocum chats with Fjord's Andy Goodman about zero UI and the move toward intangible interfaces, and Cory Doctorow addresses the problems inherent in the Digital Millennium Copyright Act .

Moving Toward a Zero UI to Orchestrate the IoT

Quantum computing. The dream of the 1980s is alive in 2015. But this time is different, for a number of reasons. What are the applications, beyond cryptography? And, what’s the point of it all — are the benefits of quantum computing truly going to be a difference of kind vs. of degree? And if so, how will it change what we already know about computers, from languages to coding to UIs to everything?

While it’s counterintuitive for us to imagine something so infinitesimally small, Ilyas Khan of Cambridge Quantum Computing helps us make the quantum leap in our minds … in this special edition of the a16z Podcast, brought to you from London.

a16z Podcast: Quantum Leap

In this episode of the O’Reilly Data Show, I spoke with M.C. Srivas, co-founder of MapR and currently chief architect for data at Uber. We discussed his long career in data management and his experience building a variety of distributed systems. In the course of his career, Srivas has architected key components that now comprise many data platforms (distributed file system, database, query engine, messaging system, etc.).

Stream Processing and Messaging Systems for the IoT Age

Too often, companies take a “research band-aid” approach to user research. Fixing things over here that causes problems over there. Julie Stanford, founder of Sliced Bread Design, and talks about how to avoid playing Whack-A-Mole when researching and designing products.

Register for User Research for Everyone Conference: http://userresearchforeveryone.com
Follow Julie on Twitter: https://twitter.com/juliestanford
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EUX Conference Info

When Research is Dangerous: a Chat with Julie Stanford

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

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.