Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
Mark Hansen explains how computation has forever changed the practice of journalism.
Lessons from hundreds of development practice assessments across the industry.
It’s only when you enable people to “do things” together that the real power of online social networks is unleashed.
Why hiring a team diverse in perspective and background leads to a great culture.
A conversation with Paul Taylor, chief architect in Watson Data and AI, and IBM fellow.
Chatbots are just the first step in the journey to achieve true AI assistants and autonomous organizations.
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
The deployment of big data tools is being held back by the lack of standards in a number of growth areas.
Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources.
Ways to bring designers and developers together to optimize user experience.
Ray is beginning to be used to power large-scale, real-time AI applications.
Tricks to visualize and understand how neural networks see.
O'Reilly survey results and usage data reveal growing trends and topics in artificial intelligence.
HTTPS "everywhere" means everywhere—not just the login page, or the page where you accept donations. Everything.
How design thinking works, and how it integrates with product development.
UC Berkeley’s startup accelerator takes university research discoveries and helps translate them into marketable products.
Lean UX begins with the idea that user experience design should be a collaborative process.
General intelligence or creativity can only be properly imagined if we peel away the layers of abstractions.
New survey results highlight the ways organizations are handling machine learning's move to the mainstream.
These studies provide a foundation for discussing ethical issues so we can better integrate data ethics in real life.
Achieve high-impact systems monitoring by focusing on latency, errors, throughput, utilization, and blackbox monitoring.
Get advice and insight from speakers who have tackled the challenges you face.
The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning.
Principles help you align your team quickly around a shared set of product guidelines.
Practical examples of how to integrate personal and tool-based feedback into your code review process.
Tools to fine-tune the wording, formatting, and other aspects of conversation to render rich interactions.
DNA holds the key to storing vast amounts of digital data
Get hands-on training in blockchain, machine learning, Python, Java, management, and many other topics.
We can build a future we want to live in, or we can build a nightmare. The choice is up to us.
The program for our Artificial Intelligence Conference in London is structured to help companies that are still very much in the early stages of AI adoption.
Strategies for assisting users in their journey to find information.
Product design is not a linear process. It’s a set of tools.
Five framing guidelines to help you think about building data products.
Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations.
By being intentional and deliberate in your approach, you can build an excellent user experience that performs well regardless of screen size.
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
Angie Brown explains how Home Depot uses open source in its stores, online search, order management, analytics, and more.
Roger Magoulas shares insights about the open source tools ecosystem based on analysis of usage and search data from O'Reilly's learning platform.
Jerome Hardaway explains how Vets Who Code uses open source to create job opportunities for veterans.
Jay Gambetta explores Qiskit, an open-source framework that aims to make quantum computing accessible for everyone.
Sarah Novotny outlines two reasons why open source continues to be important: choice and infrastructure.
Mahdi Yusuf discusses new ways to unlock potential from the data you generate with smart health devices.
Patricia Posey draws on her non-traditional journey into tech to illustrate how honest investments can build a sustainable community that is integral to the advancement of its members.
Measuring each stage of the user journey allows you to measure conversions and improve user experience.
The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture.
Ying Xiong explains how Huawei collaborates with industry leaders and innovates through open source projects.
Suz Hinton live codes an entertaining hardware solution in front of your eyes.
Watch highlights covering open source, AI, cloud, and more. From the O'Reilly OSCON Conference in Portland 2018.
Camille Eddy explains what we can do to create culturally sensitive computer intelligence and why that's important for the future of AI.
Zaheda Bhorat explores the next wave of open source contributions.
Christopher Ferris says Hyperledger was formed to help deliver blockchain technology for the enterprise. Two and a half years later, that goal is being realized.
Tim O'Reilly looks at how we can extend the values and practices of open source in the age of AI, big data, and cloud computing.
While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data.
The basic technology behind gene editing and a conversation between Jennifer Doudna and Siddhartha Mukherjee.
An overview of the challenges MLflow tackles and a primer on how to get started.
Oaths have their value, but checklists will help put principles into practice.
O’Reilly Media Podcast: George Miranda discusses the benefits and challenges of a service mesh, and the best ways to get started using one.
Get a basic overview of data engineering and then go deeper with recommended resources.
How to use research to organize information intuitively.