All Episodes
O'Reilly Radar — 443 episodes · page 2 of 5
Katie Moussouris on How Organizations Should and Shouldn't Respond to Reported Vulnerabilities
Cheryl Platz on Designing the Amazon Echo Look
Building Data-Informed Products
A Framework for Building and Evaluating Data Products
Alex Pinto on the Intersection of Threat Hunting and Automation
Building a Next-Generation Platform for Deep Learning
A Scalable Time-Series Database That Supports SQL
Amanda Berlin on Defensive Security Fundamentals
Programming Collective Intelligence for Financial Trading
Cynthia Savard Saucier on Design at Shopify
Creating Large Training Data Sets Quickly
Optimize Your Business Through Web Performance
Kimber Dowsett on Developing and Maturing a Vulnerability Disclosure Program
Making AI Transparent Part 2
Making AI Transparent Part 1
Data Science and Deep Learning in Retail
Jason Laska and Michael Akilian on Scheduling Bots
Travis Lowdermilk and Jessica Rich on Building a Customer-Driven Culture at Microsoft
Kelly Shortridge on Overcoming Common Missteps Affecting Security Decision-Making
Integrating Across Silos With Operational Data Hubs
Moving Beyond Big Data to Smart Data
Chris Messina on Facebook as a Utility
Language Understanding Remains One of AI's Grand Challenges
Matt LeMay on the Four Principles of Product Management
Dave Lewis on the Tenacity of Solvable Security Problems
Data Preparation in the Age of Deep Learning
Jan Machacek on Reactive Systems and Shifting Business Demands
Nate Walkingshaw on Capturing the Approaches and Techniques of Successful Product Managers
Parvez Ahammad on Applying Machine Learning to Security
Scaling Machine Learning
David Farkas on How to Approach User Research
Tom Hadfield on Bots in the Enterprise
Katie Moussouris on Procuring and Processing Bug Reports
Architecting and Building End-to-End Streaming Applications
Prabhat on Deep Learning for Science
Jonathan Shariat on the Importance of Identifying Your Ethical Design Red Line
Becoming a Machine Learning Engineer
Allison Miller on Making Security Better and Easier for Everyone
How Big, Fast Data is Transforming Business Intelligence
Aman Naimat on Building a Knowlege Graph of the Entire Business World
Natural Language Analysis Using Hierarchical Temporal Memory
Karl Wehden on Fast Data Processing and Reactive Systems
From Enterprise Service Bus to Microservices
Noah Iliinsky on Design at Amazon
Scout Brody on Crafting Usable and Secure Technologies
Saving the World--Or at Least the World's Scientific and Government Data
AI Adoption at the Atomic Level of Jobs and Work
Deep Learning That's Easy to Implement and Easy to Scale
Tom Coates on Conversational Devices
Ben Yoskovitz on Lean Product Development Using Metrics to Build Successful Products and Companies
Jessy Irwin on Making Security Understandable for Everyone
Tim Hwang on Bots That Cause Chaos
Building Machine Learning Solutions That Can Withstand Adversarial Attacks
Sara Watson on Optimizing Personalized Experiences
Amir Shevat on Enterprise Workplace Communication
Simon Endres on Designing in an Arms Race of High-Tech Materials
Doug Barth and Evan Gilman on Zero Trust Networks
Tom Davenport on Mitigating AI's Impact on Jobs and Business
Deep Learning for Apache Spark
Mike Vladimer on IoT Connectivity
Kat Holmes on Microsoft's Human-Led Approach to Tackling Society's Challenges
Susan Sons on Maintaining and Securing the Internet's Infrastructure
Genevieve Bell on Moving From Human-Computer Interactions to Human-Computer Relationships
The Key to Building Deep Learning Solutions for Large Enterprises
Chris Messina on Conversational Commerce
Randy Hunt on Design at Etsy
Steven Shorrock on the Myth of Human Error
How Big Compute is Fueling the Deep Learning Rocketship
Pagan Kennedy on How People Find, Invent, and See Opportunities Nobody Else Sees
Brad Abrams on Google Assistant
The 2017 Machine Learning Outlook
Andra Keay on Robots Crossing the Chasm
Joel Johnson on Desktop Fabrication
Fang Yu on Machine Learning and the Evolving Nature of Fraud
2017 Will Be the Year the Data Science and Big Data Community Engage With AI Technologies
Giles Colborne on AI's Move From Academic Curiosity to Mainstream Tech
Jay Trimble on User-Centered Design, Agile, and Design Thinking at NASA
Niko Triulzi on IoT Toys
Cory Doctorow on the Real-Life Dangers of DRM
Dennis Mortensen on Email Bots
Data is Only as Valuable as the Decisions it Enables
Brad Knox on Creating a Strong Illusion of Life
The Telecommunication Industry's Unique Position for Revenue Opportunities in Big Data, IoT, and VR
Planning for Advanced Analytics
Ecosystem Data Architecture
Ryan Cousins on Field Programmable Gate Arrays
Dan Mall on Designing With Friends
Ame Elliot on Designing for Usable Security and Privacy
Fang Yu on Using Data Analytics to Catch Constantly Evolving Fraudsters
Introducing Model-Based Thinking Into AI Systems
Richard Socher on the Future of Deep Learning
Steph Hay on Designing for Alexa
Richard Moulds on Harnessing Entropy for a More Secure World
Steph Hay on Designing for Alexa
Gilad Rosner on Privacy in the Age of The Internet of Things
Ben Brown on Bot Tools
Hilary Mason on the Wisdom Missing in the AI Conversation
Building the Next-Generation Big Data Analytics Stack
Achieving Security and Speed
Understanding Reactive Architecture Through the Actor Model