Scott Davis explains why accessibility should be just as important to you as a mobile design strategy was 10 years ago.
Tamar Bercovici details how the team at Box has constructed its database stack to handle an ever-growing query load and data set.
Cory Doctorow says the right to configure technology is the signature right of the 21st century.
Astrid Atkinson discusses techniques for building systems that are resilient by design.
Kris Nova looks at the four metrics that help you decide if running stateful applications in Kubernetes is worth the risk.
Renee Orser explains how to monitor the human networks within your engineering teams using models similar to your distributed technology systems.
Watch highlights covering infrastructure, DevOps, security, and more. From the O'Reilly Velocity Conference in San Jose 2018.
A look at a few ways to evaluate whether or not a design achieves what it set out to do.
Practical advice for software engineers and security consultants.
The benefits of modeling data as events as a mechanism to evolve our software systems.
Taking blockchain technology private for the enterprise.
How to identify when a fit has been achieved, and how to exit the explore stage and start exploiting a product with its identified market.
An overview of common design patterns for navigation that will ensure users can find and use features in an application.
An overview and framework, including tools that can be used to enable automation.
The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications.
Find new ways to gain insight into how your users interact.
Cast your vote for the top open source projects and communities through June 29.
Use cases of AI and ML to help businesses build better defenses today and in the near future.
This collection of AI resources will get you up to speed on the basics, best practices, and latest techniques.
Get hands-on training in machine learning, Python, Java, Kubernetes, product management, and many other topics.
The O’Reilly Podcast: Tammy Butow and Annie Lau on the importance of creating a culture of learning.
Considerations based on experience with Fortune 500 clients.
Why model development does not equal software development.
When we finally find the best use cases for blockchains, they may look like nothing we would have expected.
Learn design best practices and where conversational AIs are headed in the future.
A commitment to multi-modal learning is better than grasping for single-modality solutions that don’t deliver.
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.
Ben Brown on why messaging design will become as important as responsive design.
Louise Beaumont explores the five characteristics of companies that choose to succeed.
Martha Lane Fox considers the unintended consequences of technology.
Having worked in both research and industry, Mikio Braun shares insights into what's the same, what's different, and how deep learning might change the game.
Zubin Siganporia explains how the KISS principle (“Keep It Simple, Stupid”) applies to solving problems and convincing end-users to adopt data-driven solutions to their challenges.
Christine Foster discusses how today’s academic papers turn into tomorrow’s data science.
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode.
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
The personal robot temi refactors robotic human behaviors we encounter in the “iPhone Slump,” and moves those back to actual robots.
Tips for creating corporate education programs through applied learning techniques.
Watch highlights covering machine learning, GDPR, data protection, and more. From the Strata Data Conference in London 2018.
Pierre Romera explores the challenges in making 1.4 TB of data securely available to journalists all over the world.
Jean-François Puget explains why human context should be embraced as a guide to building better and smarter systems.
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.
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.
Eva Kaili outlines the fundamentals of GDPR and applications of blockchain.
Ben Lorica looks at the problems we’re facing as we collect and store data, particularly when our machine learning models require huge amounts of labeled data.
It’s time to sort the sheep from the goats, or the willing from the unwilling.
Don’t pigeonhole blockchain as a technology that’s primarily useful for finance.
The O'Reilly Podcast: Knowing your audience and then appropriately focusing the performance of your application is critical.
Unpacking the complexity of blockchain, term by term.
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.
MLPerf is a new set of benchmarks compiled by a growing list of industry and academic contributors.
Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs.
Paul McAleer discusses practical strategies for designing for mobile.
O’Reilly Media Podcast: JP Phillips, platform engineer at IBM Cloud, on problem solving with containers and Kubernetes, and how developers can get started.
Learn how to build fast, secure, accessible experiences at the O’Reilly Fluent Conference this June.
A step-by-step guide through the essential ingredients of discovery.
The O’Reilly Podcast: Brendan Eich on disrupting advertising, decentralizing payments, and privacy by design.
The O'Reilly Velocity Conference in San Jose will cover what you need to know to build high-performance, resilient, and secure systems.
Get insights on rebuilding the web, neuroevolution, data engineers vs. data scientists, the blockchain, and design thinking.
Perspectives, hard-earned lessons, and strategies from design leaders offer insight into the inner workings of their paths to success.