Considerations based on experience with Fortune 500 clients.
Reinforcement Learning Notebooks, Music Translation, Service Fabric, and Nat Friedman
Infinite Walking, Security Class, Collaborative Data Structures, and Brain Class
When we finally find the best use cases for blockchains, they may look like nothing we would have expected.
Internet Trends, Deep Learning, Governing Commons, and Invisible Asymptotes
Rapidly Learning Games, Geo Toolbox, Philosophy and CS, and Moravec's Paradox
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.
Data Beats Algorithms, Copyright Futures, Data Privacy, and Cryptocurrency Attacks
Hypergrowth, Metaphor-Oriented Programming, Zombie Data, and Science Robotics Challenges
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.
Bitcoin Badness, True Platform, Hardware Details, and Continuous Game of Life
Ben Brown on why messaging design will become as important as responsive design.
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.
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.
Martha Lane Fox considers the unintended consequences of technology.
Louise Beaumont explores the five characteristics of companies that choose to succeed.
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.
The personal robot temi refactors robotic human behaviors we encounter in the “iPhone Slump,” and moves those back to actual robots.
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
Biosynthesising Nanomaterials, OS X Age, Debugging Machine Learning, and Deepfake Detection
Tips for creating corporate education programs through applied learning techniques.
Eva Kaili outlines the fundamentals of GDPR and applications of blockchain.
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.
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.
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.
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.
Jean-François Puget explains why human context should be embraced as a guide to building better and smarter systems.
It’s time to sort the sheep from the goats, or the willing from the unwilling.
Remote Work, AWS Production Checklist, Proof of Work, and Face Recognition
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.
Professional Growth, Mental Models, Battleships Over BGP, and Policy Engine
Quantum Computing, E-Waste, Artificial Senses, and Inside printf
Efficient Meetings, Mixed Reality in Unity, Design Power, and AI's Exponential Curve of Cost
Unpacking the complexity of blockchain, term by term.
SEC's ICO, Feeling, Win95 for iOS, and Monocular Performance Capture
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.
Right to Repair, Entrepreneurial Privilege, Bash Style, and The Botnet Business Model
O’Reilly Media Podcast: JP Phillips, platform engineer at IBM Cloud, on problem solving with containers and Kubernetes, and how developers can get started.
Data to Sound, Black Mirror, Emulation, and PGP Vulnerability
Learn how to build fast, secure, accessible experiences at the O’Reilly Fluent Conference this June.
Ridesharing Suburbia, Dunbar's Number, Event Sourcing, and Product Failures
A step-by-step guide through the essential ingredients of discovery.
The O'Reilly Velocity Conference in San Jose will cover what you need to know to build high-performance, resilient, and secure systems.
The O’Reilly Podcast: Brendan Eich on disrupting advertising, decentralizing payments, and privacy by design.
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.
Leaked Secrets, WFH Productivity, Developer Growth, and Capture the Flag
The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
Game Development, Fake Reviews, Super-Resolution, and Speech Synthesis
Federated load balancing makes hosting resilient applications and operating at scale in the public cloud manageable.
Fact Verification Data Set, Forecasting Software, Image Enhancement, and Effective Teamwork