Noah Iliinsky on design at Amazon
The O’Reilly Design Podcast: The importance of intentional thinking, user-centered data visualizations, and separating functionality from implementation.
Ideas
What's on our radar.
Build a talking, face-recognizing doorbell for about $100
DIY with Amazon Echo and Raspberry PI: Recognize thousands of people at your door every month, for pennies.
Four short links: 16 March 2017
Werewolf AI, Board Games, Coin Tossing, and Glitch Platform
5 tips for embracing open data science in the enterprise
Transform the way you approach analytics.
The machine learning renaissance
Mike Olson says without big data and a platform to manage big data, machine learning and artificial intelligence just don’t work.
Machines and the magic of fast learning
Eric Frenkiel looks at advanced tools and use cases that demonstrate the power of machine learning to bring about positive change.
Highlights from Strata + Hadoop World in San Jose 2017
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata + Hadoop World in San Jose 2017.
Launching Pokémon GO
Phil Keslin, CTO of Niantic, explains how the engineering team prepared for—and just barely survived—the experience of launching Pokémon GO.
Applying data and machine learning to scale education
Daphne Koller explains how Coursera is using large-scale data processing and machine learning in online education.
Collaboration in AI benefits humanity
Jason Waxman says collaboration between industry, government, and academia is needed to deliver on the promise of AI.
Turning the internet upside down: Driving big data right to the edge
Ted Dunning says the internet of things is turning the internet upside down, and the effects are causing all kinds of problems.
A vision for future cybersecurity
Consolidating cybersecurity for a more secure future.
Scout Brody on crafting usable and secure technologies
The O’Reilly Security Podcast: Building systems that help humans, designing better tools through user studies, and balancing the demands of shipping software with security.
Ideas on interpreting machine learning
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
The designer's perspective on prototyping
Why it’s important for designers to make ideas tangible and testable.
Drawing a map of distributed data systems
How we created an illustrated guide to help you find your way through the data landscape.
Instagram's 5 principles for implementing and scaling continuous deployment
How to approach continuous deployment at your own organization.
Saving the world—or at least the world’s scientific and government data
The O’Reilly Data Show Podcast: Max Ogden on data preservation, distributed trust, and bringing cutting-edge technology to journalism.
Business transformation starts with leadership transformation
Set a good example, and everyone will follow.
Know-nothing authentication
If behavioral authentication could be made to work, it could be a big part of our future.
Want to scale design thinking?
8 tips for embracing digital design collaboration.
How to use pull requests to improve your code reviews
Spend more time building and less time fixing with GitHub Pull Requests for proper code review.
Designing for Alexa
5 questions for Phillip Hunter: Designing voice interactions, deconstructing human behavior, and use cases for voice.
AI adoption at the atomic level of jobs and work
O'Reilly Radar Podcast: David Beyer on AI adoption challenges, the complexities of getting an AI ROI, and the dangers of hype.
Deep learning that's easy to implement and easy to scale
The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms.
Tom Coates on conversational devices
The O’Reilly Bots Podcast: Conversational interfaces for the Internet of Things.
The 4 phases of DevOps maturity at Target
Start by identifying change agents in your organization.
What is a service worker?
Get up to speed on building offline experiences in your progressive web apps.
Optimizing IOC-based detection with data science
How small-budget organizations can use large-budget approaches to harness the power of IOC data in threat intelligence.
Understanding projections with spatial and geo data
Transform your basemaps using CARTO and PostGIS.
The coming tipping point in data-driven logistics
Four leading figures in transportation and logistics offer a glimpse into what they see coming around the corner.
4 performance testing pitfalls
Learn how to avoid these common application performance testing mistakes.
4 ways to harden Microsoft Windows infrastructure
Following these recommendations for hardening your Windows infrastructure will efficiently improve your security posture.
Should you port your project from Python 2 to Python 3?
Get practical knowledge on why and how to port your project to Python 3.
Data governance: What you need to know
An ongoing data governance program provides intellectual and institutional grounding to adhere to a company's strategic plan.
Are tablets the new laptops? Not yet.
It makes no sense at all for programming to be stuck on laptops, but that's where we are.
Ben Yoskovitz on lean product development, using metrics to build successful products and companies
The O’Reilly Design Podcast: Build measure learn, the One Metric That Matters, and balancing hubris and humility.
Metrics are great—but even a data-driven business needs to consider side effects
4 questions to spark ethical decisions about data.
Synthego: On the forefront of genome engineering
A CRISPR kit to help engineers construct better tools.
Jessy Irwin on making security understandable for everyone
The O’Reilly Security Podcast: Speaking other people’s language, security for small businesses, and how shame is a terrible motivator.
What is Lean UX?
Streamlining user experience for an increasingly agile world.
Random forests to save human lives
Flash flood prediction using machine learning has proven capable in the U.S. and Europe; we're now bringing it to East Africa.
Tim Hwang on bots that cause chaos
The O’Reilly Bots Podcast: Automating “psyops” with AI-driven bots.
Insights on scaling and integrating databases
An interview with Greg Meddles, technical lead for healthcare.gov.
Building machine learning solutions that can withstand adversarial attacks
The O’Reilly Data Show Podcast: Parvez Ahammad on minimal supervision, and the importance of explainability, interpretability, and security.
Sara Watson on optimizing personalized experiences
The O'Reilly Radar Podcast: Turning personalization into a two-way conversation.
How to get practical results from design thinking
For design thinking to fulfill its promise, you can’t stop when you’re finished with the thinking.
Mobile web performance anti-patterns
7 common mistakes that keep teams from achieving optimum mobile performance, and what to do about them.
Amazing, super-sweet natural proteins
A look at three alternate natural sweeteners that could be safe for our health.
Artificial intelligence: Cooperation vs. aggression
Machines learn what we teach them. If you don't want AI agents to shoot, don't give them guns.
How to apply design thinking in your organization
Design thinking helps organizations grow, innovate, and improve financial performance.
All grown up: The IoT market today
Using a data-driven analysis to understand IoT technology adoption.
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Bots: What you need to know
Bots are made possible by recent advances in artificial intelligence, user interface, and communication.
Using microservices to evolve beyond the data lake
The better prepared you are to utilize all the data in your data lake, the more likely you are to be successful.
How to drive shareholder value with artificial intelligence
Your company is probably already doing AI and machine learning, but it needs a road map.
Amir Shevat on workplace communication
The O’Reilly Bots Podcast: Slack’s head of developer relations talks about what bots can bring to Slack channels.
Simon Endres on designing in an arms race of high-tech materials
The O’Reilly Design Podcast: The guiding light of strategy, designing Allbirds, and what makes the magic of a brand identity.
Doug Barth and Evan Gilman on Zero Trust networks
The O’Reilly Security Podcast: The problem with perimeter security, rethinking trust in a networked world, and automation as an enabler.
Why you need a data strategy, and what happens if you don’t have one
How to map out a plan for finding value in data.
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The dirty secret of machine learning
David Beyer talks about AI adoption challenges, who stands to benefit most from the technology, and what's missing from the conversation.
Tom Davenport on mitigating AI's impact on jobs and business
The O'Reilly Radar Podcast: The value humans bring to AI, guaranteed job programs, and the lack of AI productivity.
How to build—and grow—a strong design practice
5 questions for Aarron Walter: Shaping products, growing teams, and managing through change.
Deep learning for Apache Spark
The O’Reilly Data Show Podcast: Jason Dai on BigDL, a library for deep learning on existing data frameworks.