The evolution and expanding utility of Ray
There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.
Ideas
What's on our radar.
Three surveys of AI adoption reveal key advice from more mature practices
An overview of emerging trends, known hurdles, and best practices in artificial intelligence.
Four short links: 22 February 2019
Decentralized Comms, Multiple Screens, HTTP/S Troubleshooting, and Early Adopter
The technical, societal, and cultural challenges that come with the rise of fake media
The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis.
Prepare for the rise of farm bots
To meet the challenge of producing more food with less everything, farm bots are going to be an essential part of the mix.
Core technologies and tools for AI, big data, and cloud computing
Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning.
Video
Design after Agile: How to succeed by trying less
Stuart Halloway explains how to augment agility with principles for designing systems.
Video
Design and architecture: Special Dumpster Fire Unit
Matt Stine looks at the tricky situations that sometimes emerge from design and architecture.
Video
Roaming free: The power of reading beyond your field
Glenn Vanderburg talks about the importance of letting your attention roam, and he shares examples of how insights from other fields have inspired software practitioners.
170+ live online training courses opened for March and April
Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics.
Video
From the trenches: An interview with Mark Richards
Neal Ford talks with Mark Richards about his career path and his work as a software architect.
Highlights from the O'Reilly Software Architecture Conference in New York 2019
Watch highlights from expert talks covering cloud-native programming, software architecture career advice, and more.
Video
Career advice for architects
Trisha Gee shares lessons she learned the hard way while managing her career as a developer, lead, and technical advocate.
Video
The future of cloud-native programming
Tamar Eilam offers an overview of cloud-native programming and outlines a path toward the unification of the cloud programming model.
3 emerging trends tech leaders should watch
Analysis of the O’Reilly online learning platform reveals a new approach to technical architecture, the rise of blockchain, and shifts in programming language adoption.
Artificial intelligence and machine learning adoption in European enterprise
How companies in Europe are preparing for and adopting AI and ML technologies.
Reinforcement learning for the birds
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
Using machine learning and analytics to attract and retain employees
The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit.
How companies are building sustainable AI and ML initiatives
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
Rethinking informed consent
Consent is the first step toward the ethical use of data, but it's not the last.
7 web dev trends on our radar
Experts weigh in on GraphQL, machine learning, React, micro-frontends, and other trends that will shape web development.
The trinity of errors in financial models: An introductory analysis using TensorFlow Probability
An exploration of three types of errors inherent in all financial models.
9 trends to watch in systems engineering and operations
From artificial intelligence to serverless to Kubernetes, here’s what's on our radar.
How machine learning impacts information security
The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.
What lies ahead for Python, Java, Go, C#, Kotlin, and Rust
O’Reilly authors and instructors explore the near-term future of popular and growing programming languages.
AI brings speed to security
Survey results indicate incident response times improve with AI-based security services.
Overcoming barriers to AI adoption
The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption.
9 AI trends on our radar
How new developments in automation, machine deception, hardware, and more will shape AI.
Gradually, then suddenly
Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts.
7 data trends on our radar
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
In the age of AI, fundamental value resides in data
The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China.
Trends in data, machine learning, and AI
The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape.
What is neural architecture search?
An overview of NAS and a discussion on how it compares to hyperparameter optimization.
Deep automation in machine learning
We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline.
10 top AWS resources on O’Reilly’s online learning platform
Our most-used AWS resources will help you stay on track in your journey to learn and apply AWS.
Assessing progress in automation technologies
When it comes to automation of existing tasks and workflows, you need not adopt an “all or nothing” attitude.
Tools for generating deep neural networks with efficient network architectures
The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning.
Distributed systems: A quick and simple definition
Get a basic understanding of distributed systems and then go deeper with recommended resources.
Survey reveals the opportunities and realities of microservices
A new report explores how far companies have come with microservices.
Building tools for enterprise data science
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science.
10 top Java resources on O’Reilly’s online learning platform
Our most-used Java resources will help you stay on track in your journey to learn and apply Java.
Managing risk in machine learning
Considerations for a world where ML models are becoming mission critical.
Lessons learned while helping enterprises adopt machine learning
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
Kubernetes' scheduling magic revealed
Understanding how the Kubernetes scheduler makes scheduling decisions is critical to ensure consistent performance and optimal resource utilization.
Video
What changes when we go offline-first?
Martin Kleppmann shows how recent computer science research is helping develop the abstractions and APIs for the next generation of applications.
Video
The freedom of Kubernetes
Kris Nova looks at the new era of the cloud native space and the kernel that has made it all possible: Kubernetes.
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Learning from the web of life
Claire Janisch looks at some of the best biomimicry opportunities inspired by nature’s software and wetware.
Video
The misinformation age
Jane Adams examines the ways data-driven recruiting fails to achieve intended results and perpetuates discriminatory hiring practices.
Video
Kubernetes: Good or evil? The ethics of data centers
Anne Currie says excessive and dirty energy use in data centers is one of the biggest ethical issues facing the tech industry.
Highlights from the O'Reilly Velocity Conference in London 2018
Watch highlights from expert talks covering Kubernetes, chaos engineering, deep learning, and more.
Video
Incognito mentorship
Katrina Owen says the valuable skills that experienced professionals lack are at the vital margins of their careers.
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A new vision for the global brain: Deep learning with people instead of machines
Omoju Miller outlines a vision where we harness human action for a better future.
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Deriving meaning in a time of chaos: The intersection between chaos engineering and observability
Crystal Hirschorn discusses how organizations can benefit from combining established tech practices with incident planning, post-mortem-driven development, chaos engineering, and observability.
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Introducing serverless to your organization
Mike Roberts explores ideas for trying serverless as well as a framework for evaluating its effectiveness within your organization.
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Why software architects fail and what to do about it
Stefan Tilkov looks at common software architecture pitfalls and explains how they can be avoided.
Video
Career advice for architects
Trisha Gee shares advice and lessons she learned the hard way while managing her career as a developer, lead, and technical advocate.
Video
Are microservices a security threat?
Liz Rice outlines the security implications of microservices, containers, and serverless.
Video
The challenges of migrating 150+ microservices to Kubernetes
Sarah Wells explains how the Financial Times migrated microservices between container stacks without affecting production users.
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Potholes in the road from monolithic hell: Microservices adoption anti-patterns
Chris Richardson describes microservices anti-patterns he’s observed while working with clients around the world.
Highlights from the O'Reilly Software Architecture Conference in London 2018
Watch highlights from expert talks covering microservices, Kubernetes, serverless, and more.
Machine learning on encrypted data
The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security.
A foundational strategy pattern for analysis: MECE
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.
How architecture evolves into strategy
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business.