The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.
O’Reilly authors and instructors explore the near-term future of popular and growing programming languages.
Remove Filters, Quantum Cables, Embedded Vision, and Citizen Developers
Survey results indicate incident response times improve with AI-based security services.
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.
How new developments in automation, machine deception, hardware, and more will shape AI.
Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts.
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China.
Get hands-on training in Python, Java, machine learning, blockchain, and many other topics.
The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape.
An overview of NAS and a discussion on how it compares to hyperparameter optimization.
We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline.
Our most-used AWS resources will help you stay on track in your journey to learn and apply AWS.
When it comes to automation of existing tasks and workflows, you need not adopt an “all or nothing” attitude.
The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning.
Get a basic understanding of distributed systems and then go deeper with recommended resources.
A new report explores how far companies have come with microservices.
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science.
Our most-used Java resources will help you stay on track in your journey to learn and apply Java.
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.
Understanding how the Kubernetes scheduler makes scheduling decisions is critical to ensure consistent performance and optimal resource utilization.
Kris Nova looks at the new era of the cloud native space and the kernel that has made it all possible: Kubernetes.
Martin Kleppmann shows how recent computer science research is helping develop the abstractions and APIs for the next generation of applications.
Claire Janisch looks at some of the best biomimicry opportunities inspired by nature’s software and wetware.
Jane Adams examines the ways data-driven recruiting fails to achieve intended results and perpetuates discriminatory hiring practices.
Watch highlights from expert talks covering Kubernetes, chaos engineering, deep learning, and more.
Crystal Hirschorn discusses how organizations can benefit from combining established tech practices with incident planning, post-mortem-driven development, chaos engineering, and observability.
Omoju Miller outlines a vision where we harness human action for a better future.
Anne Currie says excessive and dirty energy use in data centers is one of the biggest ethical issues facing the tech industry.
Katrina Owen says the valuable skills that experienced professionals lack are at the vital margins of their careers.
Mike Roberts explores ideas for trying serverless as well as a framework for evaluating its effectiveness within your organization.
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.
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.
Watch highlights from expert talks covering microservices, Kubernetes, serverless, and more.
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.
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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.
Marc Warner and Louis Barson discuss the internal and external uses of AI in the UK government.
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.
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
Watch highlights from expert talks covering artificial intelligence, machine learning, automation, and more.
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
Ruchir Puri explains why trust and transparency are essential to AI adoption.
Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.
Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
Jonathan Ballon explains why Intel’s AI and computer vision edge technology will drive advances in machine learning and natural language processing.
Amy Heineike explains how Primer created a self-updating knowledge base that can track factual claims in unstructured text.
Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding.
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.