Learn how to avoid these common application performance testing mistakes.
Get practical knowledge on why and how to port your project to Python 3.
An ongoing data governance program provides intellectual and institutional grounding to adhere to a company's strategic plan.
It makes no sense at all for programming to be stuck on laptops, but that's where we are.
The O’Reilly Design Podcast: Build measure learn, the One Metric That Matters, and balancing hubris and humility.
4 questions to spark ethical decisions about data.
A CRISPR kit to help engineers construct better tools.
The O’Reilly Security Podcast: Speaking other people’s language, security for small businesses, and how shame is a terrible motivator.
Streamlining user experience for an increasingly agile world.
Flash flood prediction using machine learning has proven capable in the U.S. and Europe; we're now bringing it to East Africa.
The O’Reilly Bots Podcast: Automating “psyops” with AI-driven bots.
An interview with Greg Meddles, technical lead for healthcare.gov.
The O’Reilly Data Show Podcast: Parvez Ahammad on minimal supervision, and the importance of explainability, interpretability, and security.
The O'Reilly Radar Podcast: Turning personalization into a two-way conversation.
For design thinking to fulfill its promise, you can’t stop when you’re finished with the thinking.
7 common mistakes that keep teams from achieving optimum mobile performance, and what to do about them.
A look at three alternate natural sweeteners that could be safe for our health.
Design thinking helps organizations grow, innovate, and improve financial performance.
Machines learn what we teach them. If you don't want AI agents to shoot, don't give them guns.
Using a data-driven analysis to understand IoT technology adoption.
Bots are made possible by recent advances in artificial intelligence, user interface, and communication.
The better prepared you are to utilize all the data in your data lake, the more likely you are to be successful.
Your company is probably already doing AI and machine learning, but it needs a road map.
The O’Reilly Bots Podcast: Slack’s head of developer relations talks about what bots can bring to Slack channels.
The O’Reilly Design Podcast: The guiding light of strategy, designing Allbirds, and what makes the magic of a brand identity.
The O’Reilly Security Podcast: The problem with perimeter security, rethinking trust in a networked world, and automation as an enabler.
How to map out a plan for finding value in data.
David Beyer talks about AI adoption challenges, who stands to benefit most from the technology, and what's missing from the conversation.
The O'Reilly Radar Podcast: The value humans bring to AI, guaranteed job programs, and the lack of AI productivity.
5 questions for Aarron Walter: Shaping products, growing teams, and managing through change.
The O’Reilly Data Show Podcast: Jason Dai on BigDL, a library for deep learning on existing data frameworks.
Understanding the FTC’s role in policing analytics.
Sara M. Watson from Digital Asia Hub discusses the state of personalization and how it can become more useful for consumers.
Learn how to handle array comparisons using the set_intersection algorithm in C++.
The O’Reilly Hardware Podcast: Powering connected devices with low-power networks.
The O’Reilly Design Podcast: Building bridges across disciplines, universal vs. inclusive design, and what playground design can teach us about inclusion.
Containers helps you distribute, deploy, run, and test your Golang projects.
The O’Reilly Security Podcast: Saving the Network Time Protocol, recruiting and building future open source maintainers, and how speed and security aren’t at odds with each other.
Data governance is straightforward; data strategy is not.
Toward a virtuous cycle between people, devices, and cloud.
HTTP/2 is still new and, although deploying it is relatively easy, there are a few things to be on the lookout for when enabling it.
How Project Jupyter got here and where we are headed.
The O’Reilly Radar Podcast: AI on the hype curve, imagining nurturing technology, and gaps in the AI conversation.
The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM.
The O’Reilly Bots Podcast: The 2017 bot outlook with one of the field’s early adopters.
Data, algorithms, and better business results are key to developing AI.
5 questions for Noah Iliinsky: Solving real problems, measuring success, and adopting holistic thinking.
Validating your data requires asking the right questions and using the right data.
A peek into the clickstream analysis and production pipeline for processing tens of millions of daily clicks, for thousands of articles.
Careful choices in data collection and architecture can reduce burdens.
Discover techniques, tools, and best practices for developing web apps that provide the privacy and security that every user deserves.
Learn how to enable functional behavior in Scala code.
What data scientists need to know about production—and what production should expect from their data scientists.
Best practices and scalable workflows for reproducible data science.
The O’Reilly Design Podcast: Collaborating with engineering, hiring for humility, and the code debate.
Create business value and add new functionality through an automated build pipeline.
Lessons learned from 2016’s most important Linux security events.
Putting deep learning into practice with new tools, frameworks, and future developments.
The O’Reilly Security Podcast: Human error is not a root cause, studying success along with failure, and how humans make systems more resilient.
An interview with Susan Fowler, Site Reliability Engineer at Uber Technologies.