Gadi Singer discusses the major questions organizations confront as they integrate deep learning.
Thomas Henson considers how AI will shape the experiences of future generations.
Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers.
Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more.
Aleksander Madry discusses roadblocks preventing AI from having a broad impact and approaches for addressing these issues.
Infocom Source, Twitter Design, New Ways of Seeing, and Software Blowouts
Data Brokers, AI Research Ethics, Overclaimed Science, and Hardware for ML
Making a Group, Robot Arms, Human Contact, and a Personal Archive
Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data.
Automating Statistical Analysis, Chinese AI, Data Sovereignty, and Open vs. Government Licensing
The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.
6 Pagers, Ethically Aligned Design, Infrastructure Malware, and IPv6 Scanning
iPhone Dominance, Security Keys, Embedded Systems Course, and Better Slack Client
From Chrome to Edge, Old Web, Public Sans, and The Feedback Fallacy
Or, why science and engineering are still different disciplines.
Chinese Livestreaming, Tech and Teens, YouTube Professionalizing, and Inclusive Meetings
DIY Bio, Perl, Knowledge Graph Learning, and Amazon Memos
Language Creators, Undersea Cable, Open Source Trends, Making Math Questions
HTML DRM, Toxic Incentives, Moral Crumple Zones, and Stats + Symbols
Why companies are turning to specialized machine learning tools like MLflow.
The toughest bias problems are often the ones you only think you’ve solved.
Content Moderation, Speech in 1.6kbps, Science is Hard, and Forensic Typography
Communist RuneScape, API Versioning, Computer Graphics, User Stories
Programming Languages, Asset Graphing, Statistical Tests, and Embeddable WebAssembly
Watch highlights from expert talks covering AI, machine learning, data analytics, and more.
Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future.
The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science project, and the most notable open source contribution.
Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.
Google BigQuery co-creator Jordan Tigani shares his vision for where cloud-scale data analytics is heading.
Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections.
Peter Singer explores the new rules of power in the age of social media and how we can navigate a world increasingly shaped by "likes" and lies.
Lauren Kunze discusses lessons learned from an analysis of interactions between humans and chatbots.
The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.
Data-Oriented Design, Time Zone Hell, Music Algorithms, and Fairness in ML
Dinesh Nirmal shares a data asset framework that incorporates current business structures and the elements you need for an AI-fluent data platform.
Jed Dougherty plots AI examples on a matrix to clarify the various interpretations of AI.
Shafi Goldwasser explains why the next frontier of cryptography will help establish safe machine learning.
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.
Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data.
Linkers and Loaders, Low-Low-Low Power Bluetooth, Voice, and NVC
Software Stack, Gig Economy, Simple Over Flexible, and Packet Radio
Hiring for Neurodiversity, Reprogrammable Molecular Computing, Retro UUCP, and Industrial Go
Explainable AI, Product Management, REPL for Games, and Open Source Inventory
Machines will need to make ethical decisions, and we will be responsible for those decisions.
Newsletters, Confidence Intervals, Reverse Engineering, and Human Scale
Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers.
Organizations that want all of the speed, agility, and savings the cloud provides are embracing a cloud native approach.
Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors.
Embedded Computer Vision, Unix History, Unionizing Workforce, and Text Adventure AI
Digital Life, Information Abundance, Quantum Computing, Language Design
Information Abundance, Meritocracy Considered Harmful, Tracking, and Blockchain Basics
Monopsony, Debugging Neural Nets, Future of Wearables, and Event Audio
The O’Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms.
Ethical Data, Iodide Notebook, Alexa Discovery, and Game Engine
The internet itself is a changing context—we’re right to worry about data flows, but we also have to worry about the context changing even when data doesn’t flow.
O'Reilly Radar, Speech Recognition, Super Sensors, Burnout
Digital Music, Smart Camera, Cell Network Software, and Gender Equity
Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.
Radar spots and explores emerging technology themes so organizations can succeed amid constant change.
Health Care NLP, Same Sex Databases, Apple Maps RE, and Science Articles