Using computer vision to understand big visual data
Alyosha Efros discusses using computer vision to understand big visual data.
Latest from O’Reilly
Insights, practical guidance, and announcements from O'Reilly
Delivering information in context
Ian Andrews explores why delivering information in context is the key to competitive differentiation in the digital economy.
Let’s get real: Acting on data in real time
Companies are differentiating themselves by acting on data in real time. But what does “real time” really mean? Jack Norris discusses the challenges of coordinating data flows, analysis, and integration at scale to shape business as it happens.
Driving the on-demand economy with predictive analytics
Eric Frenkiel explains how a trinity of real-time technologies—Kafka, Spark, MemSQL—is enabling Uber and others to power their companies with predictive apps and analytics.
Using commerce data to fuel innovation
Bruce Andrews from the U.S. Department of Commerce explains how commerce data can catalyze progress.
Cameron Turner on the sound of data
The O’Reilly Hardware Podcast: Measuring and interpreting audio data.
The future of machine intelligence
The field of machine learning is growing fast—read interviews with leading practitioners to learn where it's headed.
Introducing alignment diagrams
With this unique tool, you can visually map your existing customer experience and envision future solutions.
Network automation with Ansible
Learn the capabilities of Ansible, an agentless and extensible configuration management platform.
How to rethink security risk analysis
Why formulating the right kind of question is crucial to measuring risk.
In defense of the pie chart
Common mistakes that thwart a simple data visualization technique.
Evaluating and choosing an IoT platform
This report examines various features that heavy-equipment B2B industries should expect in an IoT platform as well as what you should be looking for when choosing a platform vendor.