Liz Rice outlines the security implications of microservices, containers, and serverless.
Watch highlights from expert talks covering microservices, Kubernetes, serverless, and more.
Quantum Internet, Live Coding, Ethics Checklists, and Robot Compendium
Legit DRM Hacking, CPU Emulation, Phish Yourself, and Data Structures
The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security.
As lists are the raw material of strategy and technology architecture, MECE list-making is one of the most useful tools you can have in your tool box.
Winners Take All, Fairness, Simultaneous Translation, Secure GPUs
Good Modeling, Real-Time Command Line, Data Structure Synthesis, and Free the Law
Forecasting, Cars and Privacy, Quantum Communications, and Positive Communications
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business.
Perl in the Browser, Pharo Programming, Program Synthesis, and Raster Vision
Our most-used Python resources will help you stay on track in your journey to learn and apply Python.
PDF to Data Frame, Clever Story, Conceptual Art, and Automatic Patch Synthesis
Git Playbook, Lessons Learned, Neural NLP, and Landscape Generation
O’Reilly’s new survey reveals the latest operations salary trends, and the skill sets that will keep your operations career on track.
Reservoir Computing, ProxyJump, SID Sequencer, and 2KB AI
Common Sense, Photorealistic Rendering, Logic Game, and the Grey-hat Patcher
Create a coherent BI strategy that aligns data collection and analytics with the general business strategy.
Robots, Cryptocurrencies, Bayes, and Brains
This collection of serverless resources will get you up to speed on the basics and best practices.
Kristian Hammond maps out simple rules, useful metrics, and where AI should live in the org chart.
Supasorn Suwajanakorn discusses the possibilities and the dark side of building artificial people.
Decentralized Applications, Global Startups, Better Shuffling, and Prolog Text
Jason Knight offers an overview of the state of the field for scaling training and inference across distributed systems.
Drawing on the McKinsey Global Institute’s research, Michael Chui explores commonly asked questions about AI and its impact on work.
Cassie Kozyrkov shares machine learning lessons learned at Google and explains what they mean for applied data science.
Marc Warner and Louis Barson discuss the internal and external uses of AI in the UK government.
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
Jonathan Ballon explains why Intel’s AI and computer vision edge technology will drive advances in machine learning and natural language processing.
Watch highlights from expert talks covering artificial intelligence, machine learning, automation, and more.
Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding.
Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
Ruchir Puri explains why trust and transparency are essential to AI adoption.
Amy Heineike explains how Primer created a self-updating knowledge base that can track factual claims in unstructured text.
Better Education, Do You Need Blockchain?, Visualization Book, and Hiring Coders
Our bad AI could be the best tool we have for understanding how to be better people.
Lost Lessons, Metaphors to Monads, Future of Work, and Awesome Starts at The Top
Stripe Stats, Worker Ethics, FPGA Futures, and Internet Archive Stats
Supply Chain Security, ML in FB Marketplace, Datasette Ideas, and Scraper DSL
Autonomy and UI, Replicating ML Research, FPGA Dev, and Standard Notes
A new report examines the state of infrastructure and anticipated near-term developments through the eyes of infrastructure experts.
Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Jaana Dogan explains why Google teaches its tracing tools to new employees and how it helps them learn about Google-scale systems end to end.
Laura Thomson shares Mozilla’s approach to data ethics, review, and stewardship.
Tammy Butow explains how companies can use Chaos Days to focus on controlled chaos engineering.
Practical techniques to ensure developers can actually do the things you want them to do using your API.
Positive Chatbot, Inside Serverless, TimBL's Next Project, and Voting Machines
Francesc Campoy Flores explores ways machine learning can help developers be more efficient.
Jessica McKellar draws parallels between the free and open source software movement and the work to end mass incarceration.
Laurent Gil shares the latest cybersecurity research findings based on real-world security operations.
Anil Dash asks: How could our processes and tools be designed to undo the biggest bugs and biases of today’s tech?
Dave Rensin explains why DevOps and SRE make each other better.
Kris Beevers examines the trade-offs between risk and velocity faced by any high-growth, critical path technology business.
Kavya Joshi says performance theory offers a rigorous and practical approach to performance tuning and capacity planning.
Watch highlights from expert talks covering DevOps, SRE, security, machine learning, and more.
Apple MDM, Source Explorer, Verification-Aware Programming, and Superstar Economics