Using indicators to identify campaigns by comparing attacks.
Alan Cooper outlines his process for working backwards: Taking the time to ask the hard questions before wading into new territory.
Etsy’s John Allspaw and Randy J. Hunt discuss the practices that have helped their tech and design teams evolve together.
Dan Mall shares perspectives on whether designers should code (yes!), how designers can fit into Agile workflows, and more.
Jennifer Pahlka says poor service design can have devastating consequences for vulnerable people in our country, but it doesn’t have to be that way.
The present and future of data integration in the cloud.
Doug Powell explains how IBM’s design transformation is shaping the company.
Watch highlights covering design thinking, UX, interaction design, and more. From the O'Reilly Design Conference in San Francisco 2017.
Khosla Ventures' Irene Au and Google's Ivy Ross discuss the future of hardware design, how to design products with soul, and lessons on design leadership.
Dan Hill explores creating great user experience for buildings and cities.
Julie Zhuo discusses definitions of success in design and shares a few principles on how to set clear goals.
Barry Katz explains how design has evolved from packaging electronics in sheet metal enclosures in the 1950s to grappling with some of the most fundamental problems of modern civilization.
Kat Holmes explores how designing for human diversity can unlock more meaningful experiences for each of us.
Tools, trends, titles, what pays (and what doesn’t) for design professionals
Is it possible to imagine an AI that can compute ethics?
Ron Bodkin explains how Teradata encourages open source adoption within enterprises.
Desi Matel-Anderson dives into the world of the Field Innovation Team, which uses data to save lives during disasters.
Dinesh Nirmal discusses how your data can help you build the right cognitive systems to engage with your customers.
Andra Keay outlines principles of good robot design and discusses the implications of implicit bias in our robots.
Michael I. Jordan explores applications in artificial intelligence.
Cloudera CEO Tom Riley and Thomson Reuters VP of R&D Khalid Al-Kofahi discuss big data's role in chasing down leads, verifying sources, and determining what's newsworthy.
Vijay Narayanan explains how cloud, data, and artificial intelligence are accelerating the genomic revolution.
Rob Craft shares some of the ways machine learning is being used inside of Google.
The O’Reilly Design Podcast: The importance of intentional thinking, user-centered data visualizations, and separating functionality from implementation.
Transform the way you approach analytics.
DIY with Amazon Echo and Raspberry PI: Recognize thousands of people at your door every month, for pennies.
Ted Dunning says the internet of things is turning the internet upside down, and the effects are causing all kinds of problems.
Jason Waxman says collaboration between industry, government, and academia is needed to deliver on the promise of AI.
Daphne Koller explains how Coursera is using large-scale data processing and machine learning in online education.
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata + Hadoop World in San Jose 2017.
Mike Olson says without big data and a platform to manage big data, machine learning and artificial intelligence just don’t work.
Phil Keslin, CTO of Niantic, explains how the engineering team prepared for—and just barely survived—the experience of launching Pokémon GO.
Eric Frenkiel looks at advanced tools and use cases that demonstrate the power of machine learning to bring about positive change.
Consolidating cybersecurity for a more secure future.
The O’Reilly Security Podcast: Building systems that help humans, designing better tools through user studies, and balancing the demands of shipping software with security.
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
Why it’s important for designers to make ideas tangible and testable.
How we created an illustrated guide to help you find your way through the data landscape.
How to approach continuous deployment at your own organization.
The O’Reilly Data Show Podcast: Max Ogden on data preservation, distributed trust, and bringing cutting-edge technology to journalism.
Set a good example, and everyone will follow.
If behavioral authentication could be made to work, it could be a big part of our future.
8 tips for embracing digital design collaboration.
Spend more time building and less time fixing with GitHub Pull Requests for proper code review.
5 questions for Phillip Hunter: Designing voice interactions, deconstructing human behavior, and use cases for voice.
O'Reilly Radar Podcast: David Beyer on AI adoption challenges, the complexities of getting an AI ROI, and the dangers of hype.
The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms.
The O’Reilly Bots Podcast: Conversational interfaces for the Internet of Things.
Start by identifying change agents in your organization.
How small-budget organizations can use large-budget approaches to harness the power of IOC data in threat intelligence.
Get up to speed on building offline experiences in your progressive web apps.
Transform your basemaps using CARTO and PostGIS.
Four leading figures in transportation and logistics offer a glimpse into what they see coming around the corner.
Following these recommendations for hardening your Windows infrastructure will efficiently improve your security posture.
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.