Selected Artificial Intelligence
and Machine Learning Talks

Learn more about AI use cases for Neo4j

This Is the Moment: Where Graphs Meet AI & Machine Learning

Highlights from GraphConnect 2018 talks on how graph technology is influencing and steering the AI/ML world.

The Present and Future of Artificial Intelligence and Machine Learning

See KeyNote speaker Hilary Mason, a pioneer in the field of modern AI, share her thoughts on where AI is going and how graph databases add value.

How Graph Technology Is Changing AI and Machine Learning

Watch Neo4’s Amy Hodler and Jake Graham discuss six areas at the forefront of graph-enhanced AI, and techniques to build intelligent applications.

Connected Healthcare

Watch Dan McCreary, Distinguished Engineer at Optum Healthcare, explain how graphs and AI are fundemantal to solving problems within health systems.

DeepWalk – Turning Graphs Into Features via Network Embeddings

See Michael Hunger and Dr. Steven Skiena talk about the motivations for graph-enhanced machine learning and random walk algorithms.

Graph and Machine Learning Algorithms

Graph Algorithms Book Cover

Get the new O’Reilly book on Graph Algorithms — Free

Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value – from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions.

Get Your Copy Now

Selected Artificial Intelligence
and Machine Learning Talks

This Is the Moment: Where Graphs Meet AI & Machine Learning

Highlights from GraphConnect 2018 talks on how graph technology is influencing and steering the AI/ML world.

The Present and Future of Artificial Intelligence and Machine Learning

See KeyNote speaker Hilary Mason, a pioneer in the field of modern AI, share her thoughts on where AI is going and how graph databases add value.

How Graph Technology Is Changing AI and Machine Learning

Watch Neo4’s Amy Hodler and Jake Graham discuss six areas at the forefront of graph-enhanced AI, and techniques to build intelligent applications.

Connected Healthcare

Watch Dan McCreary, Distinguished Engineer at Optum Healthcare, explain how graphs and AI are fundemantal to solving problems within health systems.

DeepWalk – Turning Graphs Into Features via Network Embeddings

See Michael Hunger and Dr. Steven Skiena talk about the motivations for graph-enhanced machine learning and random walk algorithms.