How AI adaptive technology can upgrade education
Joleen Liang explains how AI and precise knowledge points can help students learn.
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).
Highlights from the O’Reilly Artificial Intelligence Conference in New York 2019
Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more.
What data scientists and data engineers can do with current generation serverless technologies
The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.
De-biasing language
The toughest bias problems are often the ones you only think you’ve solved.
Highlights from the Strata Data Conference in San Francisco 2019
Watch highlights from expert talks covering AI, machine learning, data analytics, and more.
Chatting with machines: Strange things 60 billion bot logs say about human nature
Lauren Kunze discusses lessons learned from an analysis of interactions between humans and chatbots.
It’s time for data scientists to collaborate with researchers in other disciplines
The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.
AI and cryptography: Challenges and opportunities
Shafi Goldwasser explains why the next frontier of cryptography will help establish safe machine learning.
Scoring your business in the AI matrix
Jed Dougherty plots AI examples on a matrix to clarify the various interpretations of AI.
Streamlining your data assets: A strategy for the journey to AI
Dinesh Nirmal shares a data asset framework that incorporates current business structures and the elements you need for an AI-fluent data platform.
The journey to the data-driven enterprise from the edge to AI
Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data.
Algorithms are shaping our lives—here’s how we wrest back control
The O’Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms.
What is O’Reilly Radar?
Radar spots and explores emerging technology themes so organizations can succeed amid constant change.
Why your attention is like a piece of contested territory
The O’Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business.
The evolution and expanding utility of Ray
There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.
Three surveys of AI adoption reveal key advice from more mature practices
An overview of emerging trends, known hurdles, and best practices in artificial intelligence.
The technical, societal, and cultural challenges that come with the rise of fake media
The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis.
Artificial intelligence and machine learning adoption in European enterprise
How companies in Europe are preparing for and adopting AI and ML technologies.
Reinforcement learning for the birds
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
Using machine learning and analytics to attract and retain employees
The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit.
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.
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.