Lessons on “doing” the process of user experience design.
This chapter from Building Evolutionary Architectures describes architectures that support incremental change along with some of the engineering practices used to achieve incremental change.
The O’Reilly Security Podcast: The multidiscliplinary nature of defense, making security accessible, and how the current perception of security professionals hinders innovation and hiring.
The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future.
The O’Reilly Podcast: Achieving greater reliability and security when integrating data.
The O'Reilly Podcast: Gary Orenstein on developing a data infrastructure that enables the latest applications in machine learning and AI.
Chris Baker on an economic model for deterring attacks.
Guy Podjarny on why open source security is a community responsibility.
GV, Google's venture capital arm, is investing in several promising biotechnology startups.
Learn how Netflix scales microservices with application data caching.
A tutorial on how to use machine learning to build recommender systems.
Utilizing GPU power to improve performance and agility.
With rich data sources already in place, investments in both technology and organizational change pay off.
The secret sauce for survival relies on extracting the value of data analytics.
Learn the core principles of Google site reliability engineering.
The O’Reilly Programming Podcast: Inside the development of a new Go ecosystem.
Lara Hogan walks through tactics you can employ to be a sponsor for those around you.
Jessica Frazelle and Dino Dai Zovi discuss how to be effective at open source in your company.
Robert Castley explores the relevance of real-user data if real users are blocking RUM tags, and he shares some solutions.
Craig Adams explores the traditional DevOps pipeline, addresses how to think about CDN automation, and explains how Akamai is baking automation into its CDN.
David Woods and Richard Cook offer a glimpse at the SNAFUcatchers Stella Report.
For most of us, the best approach to scaling complex distributed systems is to not do that. So, Nick Rockwell asks, why isn’t serverless a bigger deal?
Bioprinting, a technology that emerged from open source communities, has the potential to improve medical science.
Using advanced neural networks to tackle challenging natural language tasks.
Kristopher Beevers explains how to augment Incident Command with simple tools and processes, such as basic checklists or regular fire drills.
Matt Cutts discusses how better technology can improve not just software systems but also trust in government itself.
Carin Meier explores new ways to approach systems and tame complexity.
Bitcoin showed us a new way of moving value around the internet. Neha Narula considers how this paradigm might apply to databases that cross organizational boundaries.
Joe Goldberg explores jobs as code, which looks at batch application automation from a systems development life cycle perspective.
"Do no harm" is a core principle in medicine. Cynthia Savard Saucier challenges the tech industry to come up with its own fundamental principle.
Developers spend huge amounts of time fixing bugs in their programs, but what about automatically fixing them? Claire Le Goues shares recent advances that aim to make that dream a reality.
Watch highlights covering complex distributed systems, systems engineering, DevOps, and more. From the O'Reilly Velocity Conference in New York 2017.
Using deep neural networks to make sense of unstructured text.
A look at a few consistent themes that unite the work of product management across job titles, industries, business models, and company sizes.
Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling
danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies.
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.
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.
Tim O'Reilly says entrepreneurs need to set their sights on how we can use big data, sensors, and AI to create amazing human experiences and the economy of the future.
Chad W. Jennings walks through a serverless big data architecture on Google Cloud that helps unravel the mysteries of human emotion.
Manuela Veloso provides an overview of the CoBot mobile service robots and their symbiotic autonomy, which lets the robots ask for help to overcome their limitations.
Tanvi Singh asks: Do long-standing, non-Internet companies have the evidence-driven culture and platforms needed to get benefits from big data tools?
Joanna Bryson says AI's main threat is not that it will do anything to us, but that we'll use it to predict and manipulate our behaviors.
There are endless possibilities when we connect the unconnected. Raghunath Nambiar discusses the magnitude of challenges and opportunities across industry segments.
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.
Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that predicts financial crime at the city-block level.
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata Data Conference in New York 2017.
Jer Thorp talks about swimming upstream to the point where data becomes data.
Manuel García-Herranz explains how to apply advances in data science, complex systems, artificial intelligence, and computational sociology to help the most vulnerable.
Cesar Delgado joins Mike Olson to show how Apple is using its big data stack and expertise to solve non-data problems.
Ben Lorica discusses the state of machine learning.
Ziya Ma explains how Intel is driving a holistic approach to powering advanced analytics and artificial intelligence workloads.
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.
Anil Gadre shares how MapR customers using a converged data platform are creating new apps for the enterprise.
Nikita Shamgunov explores the future of databases for fast-learning adaptable applications.
Considerations to determine whether voice is an appropriate medium for your users.
Building confidence in system behavior through experiments