Work with your manager to get what you need, when you need it.
A few ways to think differently and integrate innovation and AI into your company's altruistic pursuits.
Metrics and Incentives, Facebook as Fire Starter, Meeting Mastery, and Weird Chart Types
Real critique helps teams strengthen their designs, products, and services.
Learn how Spark 2.3.0+ integrates with K8s clusters on Google Cloud and Azure.
Demanding and building a social network that serves us and enables free speech, rather than serving a business metric that amplifies noise, is the way to end the farce.
A failed analytics startup post-mortem.
Like good code, good documentation is difficult and time consuming to write.
The O’Reilly Podcast: Protecting your organization against current and future threats.
Innovations that increase detection of, and response to, criminal attacks of financial systems.
Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.
The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations.
It's important to know the "why" in addition to the "what" in UX design.
As the cost of developing new drugs rises, researchers are investigating new ways to use existing medicines
The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity.
Our survey reveals how organizations are using tools, techniques, and training to apply AI through deep learning.
Enhance overall code quality through a blend of interpersonal communication and tool-based analysis.
Empowering groups to understand design for themselves will lead to new user experiences for users and designers alike.
The O’Reilly Programming Podcast: Rising barriers to entry, the complexity of the modern web, and a preview of upcoming Fluent sessions.
Considerations for setting the architectural foundations for a fast data platform.
Advances in 3D-printing technology have the potential to lower the cost and increase the availability of organ transplants.
Get hands-on training in AWS, Python, Java, blockchain, management, and many other topics.
The web was never supposed to be a few walled gardens of concentrated content owned by a few major publishers; it was supposed to be a cacophony of different sites and voices.
Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security.
In an era where fake news travels faster than the truth, our communities are at a critical juncture.
An outside-the-box exploration of how containers can be used to provide novel solutions.
The O’Reilly Data Show Podcast: Jesse Anderson and Paco Nathan on organizing data teams and next-generation messaging with Apache Pulsar.
A look the various ways the IoT asks consumers to think like programmers, and the risks inherent in exponentially increasing educators.
How to enable non-programmer business users to create their own data applications.
The O’Reilly Programming Podcast: How to build evolvable systems.
A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
Comcast’s system of storing schemas and metadata enables data scientists to find, understand, and join data of interest.
In the software world, we’re often ignorant of the harms we do because we don’t understand what we’re working with.
Jody Medich takes a look at our rapidly dematerializing world.
The 80+ sessions covering web performance, security, and accessibility at Fluent 2018 won’t make building for the web easy, but they’ll definitely make it easier.
Systems and site reliability engineers, architects, and application developers must create new strategies to meet industry shifts and their constraints.
User experience designers have an opportunity to empower people to take control of their privacy.
The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning.
Utilizing machine intelligence to facilitate proactive cybersecurity operations.
The AI Conference in NY will feature tutorials, conference sessions, and executive briefings to help business leaders understand and plan for AI technologies.
Using silly datasets as examples, Janelle Shane talks about ways that algorithms fail.
Anoop Dawar shares principles successful companies are using to inspire an insight-driven ethos and build data-competent organizations.
William Vambenepe walks through an interesting use case of machine learning in action and discusses the central role AI will play in big data analysis moving forward.
Ajey Gore explains why GO-JEK is focusing its attention beyond urban Indonesia to help people across the country’s rural areas.
Eric Colson explains why companies must now think very differently about the role and placement of data science in organizations.
Seth Stephens-Davidowitz explains how to use Google searches to uncover behaviors or attitudes that may be hidden from traditional surveys.
A look at UX challenges in designing predictive machine learning devices and services.
The O’Reilly Programming Podcast: Containers, orchestrators, and new projects.
Why stateful services are an important part of the future of containers and microservices in the enterprise.
How to find promising candidates for upskilling within your organization.
This collection of DevOps resources will get you up to speed on the basics, best practices, and latest techniques.
Dinesh Nirmal explains how real-world machine learning reveals assumptions embedded in business processes that cause expensive misunderstandings.
Tobias Ternstrom explains why you should objectively evaluate the problem you're trying to solve before choosing the tool to fix it.
Nancy Lublin and Bob Filbin explore findings from crisis data.
Alex Smola shares lessons learned from AWS SageMaker, an integrated framework for handling all stages of analysis.
Li Fan shows how Pinterest is using AI to predict what’s in an image, what a user wants, and what they’ll want next.
Ben Lorica explores emerging security best practices for business intelligence, machine learning, and mobile computing products.
Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018.
Natalie Evans Harris discusses the Community Principles on Ethical Data Practices (CPEDP), a code of ethics for data collection, sharing, and utilization.
Build a more scalable, composable, and functional architecture for interconnecting systems and applications.
Why we're taking the AI Conference to Beijing.
The top 5 ways to immerse yourself in deep learning and MXNet.