Robin Thottungal discusses the EPA's digital transformation and how it's leading to a better understanding of the interdependencies between our air, water, land, and public health.
Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling
Chad W. Jennings walks through a serverless big data architecture on Google Cloud that helps unravel the mysteries of human emotion.
Joseph Sirosh shares a story about a volunteer’s dilemma, an engineer’s ingenuity, and how AI, cloud, data, and devices came together to save snow leopards.
The O’Reilly Security Podcast: Why tools aren’t always the answer to security problems and the oft overlooked impact of user frustration and fatigue.
The O’Reilly Data Show Podcast: Carme Artigas on helping enterprises transform themselves with big data tools and technologies.
Rob Claire introduces the monitoring tools Pinterest uses and offers real-world examples of problem solving with data monitoring.
Jessy Irwin on making security make sense for nontechnical users.
Ben Lorica discusses the state of machine learning.
Anil Gadre shares how MapR customers using a converged data platform are creating new apps for the enterprise.
Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that predicts financial crime at the city-block level.
Jer Thorp talks about swimming upstream to the point where data becomes data.
Ever wondered how Spotify seems to know what you want? Christine Hung shares how Spotify uses data and algorithms to improve user experience and drive business.
Nikita Shamgunov explores the future of databases for fast-learning adaptable applications.
Ziya Ma explains how Intel is driving a holistic approach to powering advanced analytics and artificial intelligence workloads.
Cesar Delgado joins Mike Olson to show how Apple is using its big data stack and expertise to solve non-data problems.
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata Data Conference in New York 2017.
Manuel García-Herranz explains how to apply advances in data science, complex systems, artificial intelligence, and computational sociology to help the most vulnerable.
Considerations to determine whether voice is an appropriate medium for your users.
Building confidence in system behavior through experiments
MXNet’s origins show through in its power and flexibility.
Probabilistic computation holds too much promise for it to be stifled by playing zero sum games with data.
A hands-on demonstration for implementing tracing in modern applications that introduces tracing through the CNCF’s OpenTracing project.
The O’Reilly Programming Podcast: A look at a new systems programming language.
Lili Cheng shares two examples of AI that were inspired by nature.
Jia Li explains why a democratized approach to AI ensures that the components behind these technologies reach the widest possible audience.
Tim O'Reilly says the algorithms that shape our economy must be rewritten if we want to create a more human-centered future.
Steve Jurvetson examines the state of artificial intelligence.
Philippe Poutonnet discusses how you can harness the power of machine learning, whether you have a machine learning team of your own or you just want to use machine learning as a service.
A discussion on the impact and opportunities of artificial intelligence.
Michael Jordan discusses recent results in gradient-based optimization for large-scale data analysis.
Know your options for managing checked exceptions in Java 8’s functional approach.
Electronic waste is an economic and environmental problem, but citizen scientists can take action by using harvested sensors from discarded electronics.
How to construct inquiries that will result in good, useful data.
Learn how to add big data to your organization's business processes.
Five questions for Josiah Dykstra on techniques to expose and invalidate misleading claims.
Watch highlights covering artificial intelligence, machine learning, applied deep learning, and more. From the Artificial Intelligence Conference in San Francisco 2017.
Peter Norvig speaks with Abu Qader, the 18-year-old CTO of GliaLab who taught himself machine learning and launched an AI company for breast cancer diagnostics.
AI Conference chairs Ben Lorica and Roger Chen reveal the current AI trends they've observed in industry.
Rana el Kaliouby lays out a vision for an emotion-enabled world of technology.
Andrew Ng shares his thoughts on where the biggest opportunities in AI may lie.
Ruchir Puri addresses the opportunities and challenges of AI for business and focuses on what's needed to scale AI across the breadth of enterprises.
Understanding gRPC in the dawn of microservices.
A deep dive into Uber's engineering effort to optimize geospatial queries in Presto.
Building convnets from scratch with TensorFlow and TensorBoard.
The O'Reilly Podcast: Dave Cassel on building a unified enterprise database to store and query any type of data.
Learn about some of the common issues you will encounter when developing algorithms for a modern anomaly detection system.
Learn the difference between live and streaming anomaly detection systems and how to address the challenges different data velocities pose.
See examples of the many traps you can fall into if you use off-the-shelf anomaly detection techniques.
The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia explore the rich ecosystem of analytic tools around Apache Spark.
A deep dive into startup TuSimple’s use of Apache MXNet.
The O’Reilly Security Podcast: Shifting secure code responsibility to developers, building secure software quickly, and the importance of changing processes.
Exciting new genetic testing technology has improved the speed and accuracy of cancer diagnosis.
Data capture, management, and analysis builds a bridge between design, user experience, and business relevance.
Learn some of the benefits of using real-time processing of data for some use cases.
Learn to identify problems that may indicate data team dysfunction.
Learn about Figma's Frame tool — then use it to define the correct workspace for the prototype of your website, tablet app, or smart phone app.
6 lessons learned to get a quick start on productivity.
Learn about Figma's layers area – where you control individual objects, images, and text – and avoid making overly complex Figma documents.
Learn about the four major image and object formats accepted by Figma - and three ways to import them.