Considerations for a world where ML models are becoming mission critical.
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
Illuminated Paper, Software Forge, Leak Checklist, and PC on ESP
Get hands-on training in deep learning, Python, Kubernetes, blockchain, security, and many other topics.
Understanding how the Kubernetes scheduler makes scheduling decisions is critical to ensure consistent performance and optimal resource utilization.
Jane Adams examines the ways data-driven recruiting fails to achieve intended results and perpetuates discriminatory hiring practices.
Claire Janisch looks at some of the best biomimicry opportunities inspired by nature’s software and wetware.
Martin Kleppmann shows how recent computer science research is helping develop the abstractions and APIs for the next generation of applications.
Kris Nova looks at the new era of the cloud native space and the kernel that has made it all possible: Kubernetes.
Katrina Owen says the valuable skills that experienced professionals lack are at the vital margins of their careers.
Crystal Hirschorn discusses how organizations can benefit from combining established tech practices with incident planning, post-mortem-driven development, chaos engineering, and observability.
Watch highlights from expert talks covering Kubernetes, chaos engineering, deep learning, and more.
Anne Currie says excessive and dirty energy use in data centers is one of the biggest ethical issues facing the tech industry.
Omoju Miller outlines a vision where we harness human action for a better future.
Stefan Tilkov looks at common software architecture pitfalls and explains how they can be avoided.
Trisha Gee shares advice and lessons she learned the hard way while managing her career as a developer, lead, and technical advocate.
Mike Roberts explores ideas for trying serverless as well as a framework for evaluating its effectiveness within your organization.
Watch highlights from expert talks covering microservices, Kubernetes, serverless, and more.
Sarah Wells explains how the Financial Times migrated microservices between container stacks without affecting production users.
Chris Richardson describes microservices anti-patterns he’s observed while working with clients around the world.
Liz Rice outlines the security implications of microservices, containers, and serverless.
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.
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business.
Our most-used Python resources will help you stay on track in your journey to learn and apply Python.
O’Reilly’s new survey reveals the latest operations salary trends, and the skill sets that will keep your operations career on track.
Create a coherent BI strategy that aligns data collection and analytics with the general business strategy.
This collection of serverless resources will get you up to speed on the basics and best practices.
Supasorn Suwajanakorn discusses the possibilities and the dark side of building artificial people.
Kristian Hammond maps out simple rules, useful metrics, and where AI should live in the org chart.
Cassie Kozyrkov shares machine learning lessons learned at Google and explains what they mean for applied data science.
Jason Knight offers an overview of the state of the field for scaling training and inference across distributed systems.
Marc Warner and Louis Barson discuss the internal and external uses of AI in the UK government.
Drawing on the McKinsey Global Institute’s research, Michael Chui explores commonly asked questions about AI and its impact on work.
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.
Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.
Amy Heineike explains how Primer created a self-updating knowledge base that can track factual claims in unstructured text.
Watch highlights from expert talks covering artificial intelligence, machine learning, automation, and more.
Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding.
Ruchir Puri explains why trust and transparency are essential to AI adoption.
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
Our bad AI could be the best tool we have for understanding how to be better people.
A new report examines the state of infrastructure and anticipated near-term developments through the eyes of infrastructure experts.
Laura Thomson shares Mozilla’s approach to data ethics, review, and stewardship.
Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.
Tammy Butow explains how companies can use Chaos Days to focus on controlled chaos engineering.
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.
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Practical techniques to ensure developers can actually do the things you want them to do using your API.
Kavya Joshi says performance theory offers a rigorous and practical approach to performance tuning and capacity planning.
Kris Beevers examines the trade-offs between risk and velocity faced by any high-growth, critical path technology business.
Laurent Gil shares the latest cybersecurity research findings based on real-world security operations.
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.
Anil Dash asks: How could our processes and tools be designed to undo the biggest bugs and biases of today’s tech?
Watch highlights from expert talks covering DevOps, SRE, security, machine learning, and more.
Dave Rensin explains why DevOps and SRE make each other better.
How risk reduction makes sure bad things happen as rarely as possible.
The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness.
The World Economic Forum’s 2018 jobs report limits research to a narrow range of the workforce.
Getting DataOps right is crucial to your late-stage big data projects.