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It has become much more feasible to run high-performance data platforms directly inside Kubernetes.
If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows.
Levent Besik explains how enterprises can stay ahead of the game with customized machine learning.
Huma Abidi discusses the importance of optimization to deep learning frameworks.
Hagay Lupesko explores key trends in machine learning, the importance of designing models for scale, and the impact that machine learning innovation has had on startups and enterprises alike.
Dawn Song explains how AI and deep learning can enable better security and how security can enable better AI.
Manish Goyal shows you how to best unlock the value of enterprise AI.
Joseph Sirosh tells an intriguing story about AI-infused prosthetics that are able to see, grip, and feel.
David Patterson explains why he expects an outpouring of co-designed ML-specific chips and supercomputers.
Peter Norvig says one of the most exciting aspects of AI is the diversity of applications in fields far astray from the original breakthrough areas.
From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content.
Soups Ranjan describes the machine learning system that Coinbase built to detect potential fraud and fake identities.
Kai-Fu Lee outlines the factors that enabled China's rapid ascension in AI.
Kishore Durg explains why deploying AI requires raising it to act as a responsible representative of the business and a contributing member of society.
Julie Shin Choi reviews real-world customer use cases that take AI from theory to reality.
Meredith Whittaker says the benefits of AI will only come if we have a clear-eyed perspective on its dark side.
Akhilesh Tripathi shows you how to use machine learning to identify root causes of problems in minutes instead of hours or days.
Watch highlights from expert talks covering artificial intelligence, machine learning, security, and more.
Tim O'Reilly and Kai-Fu Lee discuss differences in how China and the U.S. approach AI and why AI might give humanity larger purpose.
A new survey highlights concerns from network and cloud administrators, and reveals their coping strategies.
Ben Lorica and Roger Chen provide a glimpse into tools and trends poised to accelerate AI innovation.
This collection of data governance resources will get you up to speed on the basics and best practices.
Data can help inform design choices at every step in the process.
The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning.
The O’Reilly Media Podcast: Daniel Krook, IBM developer advocate, on the Call for Code Global Initiative at IBM.
Tools and techniques for recruiting UX research participants.
How the UK's NHS uses prototyping to explore and illustrate new technological possibilities.
Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email.
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future.
David Schaaf explains how data science and data engineering can work together to deliver results to decision makers.
Ryan Abernathey makes the case for the large-scale migration of scientific data and research to the cloud.
Cristian Capdevila explains how Prognos is predicting disease.
Tracy Teal explains how to bring people to data and empower them to address their questions.
Michelle Gill discusses how data science methods and tools can link information from different scientific fields and accelerate discovery.
Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018.
Paco Nathan shares a few unexpected things that emerged in Jupyter in 2018.
Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem.
Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
Mark Hansen explains how computation has forever changed the practice of journalism.
Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others.
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS.
All the cool kids are doing it, maybe we should too? Jupyter, gravitational waves, and the LIGO and Virgo Scientific Collaborations
Will Farr offers lessons about the many advantages and few disadvantages of using Jupyter for global scientific collaborations.
Lessons from hundreds of development practice assessments across the industry.
It’s only when you enable people to “do things” together that the real power of online social networks is unleashed.
Why hiring a team diverse in perspective and background leads to a great culture.
A conversation with Paul Taylor, chief architect in Watson Data and AI, and IBM fellow.
Chatbots are just the first step in the journey to achieve true AI assistants and autonomous organizations.
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
The deployment of big data tools is being held back by the lack of standards in a number of growth areas.
Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources.
Ways to bring designers and developers together to optimize user experience.
Ray is beginning to be used to power large-scale, real-time AI applications.
Tricks to visualize and understand how neural networks see.
O'Reilly survey results and usage data reveal growing trends and topics in artificial intelligence.
HTTPS "everywhere" means everywhere—not just the login page, or the page where you accept donations. Everything.
How design thinking works, and how it integrates with product development.
UC Berkeley’s startup accelerator takes university research discoveries and helps translate them into marketable products.
Lean UX begins with the idea that user experience design should be a collaborative process.