Software Engineering, ML Hardware Trends, Time Series, and Eng Team Playbooks
Getting DataOps right is crucial to your late-stage big data projects.
Continuous Delivery, Turing Complete Powerpoint, ARPA-E, and Observability
How we can put privacy at the heart of our design processes.
Linux Foundation, Data Unit Tests, Software Pooping the World, and Predictions
Using advanced Docker Compose features to solve problems in larger projects and teams.
The economy we want to build must recognize increasing the value to and for humans as the goal.
Code of Conduct Software, Decision Matrices, Festival of Maintenance, Ambisonic 3D
Golden Age of Software, Another Better C, Robot String Art, and Automated Game Design
Causal Inference, Remote Only, Human Augmentation, and C64 OS
Exploring use cases for the two tools.
Wasted Time, Caught Marshmallows, One-Command Language, and The 9.9%
Automatic Bugfixes, Research Code, Automatic Diagrams, and Alexa Mapped
Asking good design questions will elucidate problems and opportunities.
Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process
Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses
Amanda Pustilnik highlights potential applications of data from new technologies that capture brain-based processes.
Chad Jennings explains how Geotab's smart city application helps city planners understand traffic and predict locations of unsafe driving.
Dinesh Nirmal explains how AI is helping supply school lunch and keep ahead of regulations.
Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments.
Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them.
Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future.
Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML.
Amber Case covers methods product designers and managers can use to improve interactions through an understanding of sound design.
We should invest at least as much time in understanding our customers as we do in optimizing our product development process.
The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers.
ML Inspection, Enterprise Architecture, n=1 Study, and EU Shoots Own Foot
Ted Dunning discusses how new tools can change the way production systems work.
Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement.
Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations.
DD Dasgupta explores the edge-cloud continuum, explaining how the roles of data centers and cloud infrastructure are redefined through the mainstream adoption of AI, ML, and IoT technologies.
Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more.
Joseph Lubin explains how Ethereum can help with new innovations like cryptocurrencies, automated and self-executing legal agreements, and self-sovereign identity.
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services.
Drew Paroski and Aatif Din share how to develop modern database applications without sacrificing cost savings, data familiarity, and flexibility.
Millibytes, Webpage Bloat, Neuromorphic Computing, and UX Dark Patterns
Poll results reveal where and why organizations choose to use containers, cloud platforms, and data pipelines.
It has become much more feasible to run high-performance data platforms directly inside Kubernetes.
Serverless, Predicting Personality, Broken Design, and Hamming Lectures
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.
Optoelectronics, Checked C, MagicScroll, Quantum AWS
David Patterson explains why he expects an outpouring of co-designed ML-specific chips and supercomputers.
Levent Besik explains how enterprises can stay ahead of the game with customized machine learning.
Joseph Sirosh tells an intriguing story about AI-infused prosthetics that are able to see, grip, and feel.
Manish Goyal shows you how to best unlock the value of enterprise AI.
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.
Dawn Song explains how AI and deep learning can enable better security and how security can enable better AI.
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.
From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content.
Quantifying Facebook, Deep Learning IDE, REPL + Debugger, and RPC Library
Akhilesh Tripathi shows you how to use machine learning to identify root causes of problems in minutes instead of hours or days.
Kai-Fu Lee outlines the factors that enabled China's rapid ascension in AI.
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.
Soups Ranjan describes the machine learning system that Coinbase built to detect potential fraud and fake identities.
Watch highlights from expert talks covering artificial intelligence, machine learning, security, and more.
Julie Shin Choi reviews real-world customer use cases that take AI from theory to reality.
Kishore Durg explains why deploying AI requires raising it to act as a responsible representative of the business and a contributing member of society.
Meredith Whittaker says the benefits of AI will only come if we have a clear-eyed perspective on its dark side.
A new survey highlights concerns from network and cloud administrators, and reveals their coping strategies.
BS in AI, Visual Exploration, Bad Predictions, and USB-C Development