How companies are building sustainable AI and ML initiatives
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Rethinking informed consent
Consent is the first step toward the ethical use of data, but it's not the last.
How machine learning impacts information security
The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.
Overcoming barriers to AI adoption
The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption.
9 AI trends on our radar
How new developments in automation, machine deception, hardware, and more will shape AI.
7 data trends on our radar
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
In the age of AI, fundamental value resides in data
The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China.
Trends in data, machine learning, and AI
The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape.
Tools for generating deep neural networks with efficient network architectures
The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning.
Building tools for enterprise data science
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science.
Managing risk in machine learning
Considerations for a world where ML models are becoming mission critical.
Lessons learned while helping enterprises adopt machine learning
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
A new vision for the global brain: Deep learning with people instead of machines
Omoju Miller outlines a vision where we harness human action for a better future.
Machine learning on encrypted data
The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security.
Bringing AI into the enterprise: A functional approach to the technologies of intelligence
Kristian Hammond maps out simple rules, useful metrics, and where AI should live in the org chart.
Building artificial people: Endless possibilities and the dark side
Supasorn Suwajanakorn discusses the possibilities and the dark side of building artificial people.
Fireside chat with Marc Warner and Louis Barson
Marc Warner and Louis Barson discuss the internal and external uses of AI in the UK government.
Deep learning at scale: A field manual
Jason Knight offers an overview of the state of the field for scaling training and inference across distributed systems.
The missing piece
Cassie Kozyrkov shares machine learning lessons learned at Google and explains what they mean for applied data science.
Notes from the frontier: Making AI work
Drawing on the McKinsey Global Institute’s research, Michael Chui explores commonly asked questions about AI and its impact on work.
How social science research can inform the design of AI systems
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
Highlights from the Artificial Intelligence Conference in London 2018
Watch highlights from expert talks covering artificial intelligence, machine learning, automation, and more.
Rethinking software engineering in the AI era
Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
AI in production: The droids you’re looking for
Jonathan Ballon explains why Intel’s AI and computer vision edge technology will drive advances in machine learning and natural language processing.