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.
State Sponsored Trolling, Public Standards, Explorable Explanations, and iOS Network Debugging
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.
Sarah Novotny outlines two reasons why open source continues to be important: choice and infrastructure.
Jerome Hardaway explains how Vets Who Code uses open source to create job opportunities for veterans.
Angie Brown explains how Home Depot uses open source in its stores, online search, order management, analytics, and more.
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
Jay Gambetta explores Qiskit, an open-source framework that aims to make quantum computing accessible for everyone.
Roger Magoulas shares insights about the open source tools ecosystem based on analysis of usage and search data from O'Reilly's learning platform.
Mahdi Yusuf discusses new ways to unlock potential from the data you generate with smart health devices.
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.
Camille Eddy explains what we can do to create culturally sensitive computer intelligence and why that's important for the future of AI.
Ying Xiong explains how Huawei collaborates with industry leaders and innovates through open source projects.
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.
Watch highlights covering open source, AI, cloud, and more. From the O'Reilly OSCON Conference in Portland 2018.
Suz Hinton live codes an entertaining hardware solution in front of your eyes.
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.
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.
Oaths have their value, but checklists will help put principles into practice.
An overview of the challenges MLflow tackles and a primer on how to get started.
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.
Techniques for defining a product and building and managing a team.
“Human in the loop” software development will be a big part of the future.
Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.
Learn why this new tool is a critical component in microservice-based architectures.
The clearest path to a product management role is at your current organization.
It's all about building an MVP.
The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy.
Get hands-on training in machine learning, software architecture, Java, Kotlin, leadership skills, and many other topics.
Explore TensorFlow’s applications and its community on July 17 at TensorFlow Day at OSCON.
Product managers are in hot demand and have myriad career options, from executive management to solutions consulting to just staying put.
We should take the impact our designs have on others' lives as seriously as we take the need for profit and competitive advantage.
Progressive organizations know that learning is as much about recruitment and retention as it is about development.
The importance of testing your tools, using multiple tools, and seeking consistency across various interpretability techniques.
It’s easy to imagine an AI winning a game of Go, but can you imagine an AI wanting to play a game of Go?
How sprints can help separate the good ideas from the bad.
The most successful product managers quickly develop three domains of knowledge: organizational, product, and industry.
The O’Reilly Data Show Podcast: Andrew Burt and Steven Touw on how companies can manage models they cannot fully explain.
We need to build organizations that are self-critical and avoid corporate self-deception.
David Hayes explains why adding a manageable dose of actionable intelligence to your operations management workflow can save you time and aggravation.
Nicole Forsgren shares results and stories behind high-performing technology-driven teams and organizations.
Brendan Eich asks what it would mean to the web if we start building products, apps, and systems that are private by default.
Oracle's Kyle York and Netra's Richard Lee discuss Netra’s high-performance computing environment.
Focusing on a mix of artificial, scientific, and environmental sensing data, Aurelia Moser explores fantasy and farcical mapping.
Dave Andrews explains how to wield the power of a global 50 Tbps application delivery network to ensure maximum availability during and after a change.
Julia Grace shares how she learned to rapidly scale herself and her leadership team during a period of hypergrowth at Slack.
Kyle Kingsbury explores anomalies in three distributed systems and shares strategies for correctness testing using Jepsen.
Tracy Lee helps you think differently about how to increase diversity in technology with open source.
Bryan Liles explains how to evaluate and integrate new declarative application management practices into continuous integration pipelines.
Tamar Bercovici details how the team at Box has constructed its database stack to handle an ever-growing query load and data set.
Kris Nova looks at the four metrics that help you decide if running stateful applications in Kubernetes is worth the risk.
Cherie Wong shares common developer pain points and recipes to solve them using AWS.
Martin Woodward shares key data points from Microsoft's journey to DevOps.
Natalie Silvanovich discusses the link between feature complexity, developer error, and security vulnerabilities.
Cory Doctorow fields questions on the future of the web, privacy, and net neutrality.