Kubernetes recipes: Maintenance and troubleshooting
Recipes that deal with various aspects of troubleshooting, from debugging pods and containers, to testing service connectivity, interpreting a resource’s status, and node maintenance.
Ideas
What's on our radar.
Video
Designing our friendly robot companions isn't about the AI
Ben Brown on why messaging design will become as important as responsive design.
Four short links: 28 May 2018
Hypergrowth, Metaphor-Oriented Programming, Zombie Data, and Science Robotics Challenges
What to expect at the JupyterCon 2018 Business Summit
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
The evolution of data science, data engineering, and AI
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode.
7 questions to ask before you launch an enterprise blockchain project
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
Winner of the Top Innovator Award at AI NY 2018: temi
The personal robot temi refactors robotic human behaviors we encounter in the “iPhone Slump,” and moves those back to actual robots.
Video
Journey to GDPR compliance
May 25 is an important day for data protection in the EU and elsewhere. Alison Howard explains how Microsoft has prepared for May 25 and beyond.
Video
Charting a data journey to the cloud
Mick Hollison, Sven Löffler, and Robert Neumann explain how Deutsche Telekom is harnessing machine learning and analytics in the cloud to build Europe’s largest IoT data marketplace.
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Data protection and innovation
Eva Kaili outlines the fundamentals of GDPR and applications of blockchain.
Highlights from the Strata Data Conference in London 2018
Watch highlights covering machine learning, GDPR, data protection, and more. From the Strata Data Conference in London 2018.
Video
The Paradise Papers: Behind the scenes with the ICIJ
Pierre Romera explores the challenges in making 1.4 TB of data securely available to journalists all over the world.
Video
Humans and the machine: Machine learning in context
Jean-François Puget explains why human context should be embraced as a guide to building better and smarter systems.
Cory Doctorow on the fight for a configurable and free internet
It’s time to sort the sheep from the goats, or the willing from the unwilling.
Brian Holt on learning JavaScript and understanding how to scale a website
The O'Reilly Podcast: Knowing your audience and then appropriately focusing the performance of your application is critical.
Blockchain applications
Don’t pigeonhole blockchain as a technology that’s primarily useful for finance.
What is a blockchain?
Unpacking the complexity of blockchain, term by term.
Video
Setting benchmarks in machine learning
Dave Patterson and other industry leaders discuss how MLPerf will define an entire suite of benchmarks to measure performance of software, hardware, and cloud systems.
A new benchmark suite for machine learning
MLPerf is a new set of benchmarks compiled by a growing list of industry and academic contributors.
How will the GDPR impact machine learning?
Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs.
Video
Crafting your mobile design approach
Paul McAleer discusses practical strategies for designing for mobile.
Kubernetes and containers for enterprise developers
O’Reilly Media Podcast: JP Phillips, platform engineer at IBM Cloud, on problem solving with containers and Kubernetes, and how developers can get started.
Being a great front-end developer means being fluent in tools, accessibility, and teamwork
Learn how to build fast, secure, accessible experiences at the O’Reilly Fluent Conference this June.
Video
Great design projects start with discovery
A step-by-step guide through the essential ingredients of discovery.
The web is broken; let’s fix it
The O’Reilly Podcast: Brendan Eich on disrupting advertising, decentralizing payments, and privacy by design.
Building complex systems? We’ve got you covered at Velocity San Jose
The O'Reilly Velocity Conference in San Jose will cover what you need to know to build high-performance, resilient, and secure systems.
5 popular articles for engineering leaders
Get insights on rebuilding the web, neuroevolution, data engineers vs. data scientists, the blockchain, and design thinking.
How successful design leaders achieve personal growth and a balanced life
Perspectives, hard-earned lessons, and strategies from design leaders offer insight into the inner workings of their paths to success.
Companies in China are moving quickly to embrace AI technologies
The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
The benefits of federated load balancing for cloud application resiliency
Federated load balancing makes hosting resilient applications and operating at scale in the public cloud manageable.
Why your next open source project may only be an interface
We are likely to see more open interfaces and metaframeworks emerge, but they have their drawbacks.
Video
How calm technology amplifies humanness
Why it’s best to keep people’s lifestyles and environment in mind when designing products and devices.
3 strategies to change user behavior
There’s no (ethical) way to avoid having the user consciously choose whether or not to act, but products can change the nature of that choice.
Learn how to build better apps, systems, and teams at the Fluent and Velocity Conferences
The O’Reilly Fluent and Velocity conferences are teaming up to create a unique learning opportunity that addresses the full web experience.
Complementary learning for AI-based predictive quality and maintenance
Using machine learning, deep learning, and cognitive computing in concert can help enterprises gain competitive edges.
How to build analytic products in an age when data privacy has become critical
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.
Machine learning: A quick and simple definition
Get a basic overview of machine learning and then go deeper with recommended resources.
Video
AI4ALL: AI will change the world, but who will change AI?
Olga Russakovsky explains how her organization, AI4ALL, aims to increase diversity and inclusion in AI development and research.
Video
The physics of AI
Dario Gil explores state-of-the-art computing for AI as it exists today as well as an innovation that will lead us into the decades to come: quantum computing for AI.
Video
WTT: What the tensor?
Ron Bodkin explains what a tensor is and why you should care.
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Using machine learning in workload automation
Abhijit Deshpande explains how to use machine learning to identify root causes of problems in minutes instead of hours.
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Serving billions of personalized news feeds with AI
Meihong Wang explains how Facebook thinks about personalization and how the company uses machine learning to provide personalized experiences.
Video
Neural interfaces: Connecting humans and artificial intelligence
Thomas Reardon offers an overview of brain-machine interface (BMI) technology and shares CTRL-Labs’s transformative and noninvasive neural interface approach.
Video
Hybrid bio-opto-electronics for AI
George Church discusses the IARPA MICrONS project, which aims to revolutionize machine learning by reverse-engineering the algorithms of the brain.
200+ new live online trainings just launched on O'Reilly's learning platform
Get hands-on training in artificial intelligence, Python, Java, blockchain, security, and many other topics.
Video
Understanding automation
Ben Lorica and Roger Chen discuss the state of reinforcement learning and automation.
Video
Using machine learning, the IoT, drones, and networking to reduce world hunger
Food production needs to double by 2050 to feed the world’s growing population. Jennifer Marsman details a solution that uses sensors in the soil, aerial imagery from drones, and machine learning.
Video
Rapid AI experimentation and innovation on Amazon Web Services
Dan Mbanga explores how accelerating AI experimentation has influenced innovations such as Amazon Alexa, Prime Air, and Go.
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Bringing AI into the wild
Mary Beth Ainsworth offers an overview of SAS deep learning and computer vision capabilities that help map wildlife and scale conservation efforts around the world.
Highlights from the Artificial Intelligence Conference in New York 2018
Watch highlights covering artificial intelligence, machine learning, automation, and more. From the Artificial Intelligence Conference in New York 2018.
Video
The frontiers of machine learning and AI
Zoubin Ghahramani discusses recent advances in artificial intelligence, highlighting research in deep learning, probabilistic programming, Bayesian optimization, and AI for data science.
Video
Intel AI for the enterprise ecosystem
Fiaz Mohamed explains how Intel AI solves today’s business problems.
Video
Fireside chat with Peter Norvig and Kavya Kopparapu
Kavya Kopparapu shares her inspiration for starting GirlsComputingLeague.
Video
Increasing business results through AI in the entertainment industry
Fiaz Mohammed and Justin Herz discuss how artificial intelligence can improve content discovery and monetization
Video
Autonomy and human-AI interaction
Manuela Veloso looks at the role humans can play in autonomy-based AI interactions and the underlying challenges to AI.
Our brains on learning
To create expertise, we need practice. And the practice must be meaningful, tightly coupled, and with sufficient quantity to develop confidence.
Achieve resilient cloud applications through managed DNS
Harnessing DNS for traffic steering, load balancing, and intelligent response.
How to think differently about learning ROI
Free report: ROI doesn't work for L&D; because it's a financial calculation, not a human one.
Returning to our senses
An introduction to how human senses can be incorporated into design principles.
Video
Techniques for designing to reduce risk
We need to plan for what we can't see and design for a wide range of user scenarios to avoid bad outcomes.
Wrapping an RxJS observable stream into an Angular service
How to create an injectable service that emits a stream of values, and a UI component that subscribes to this stream, displaying its values in real time.
How to customize an Istio service mesh
Choose an Istio sidecar for reliability, observability, and security.
Teaching and implementing data science and AI in the enterprise
The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science.