Graph Databases and Artificial Intelligence Webinar Video
Previously Recorded Academic Webinar Series
Graph Databases and A.I.
Graph databases are the fastest growing type of databases today. Although their flexibility has always been strong, now they have scale-out ability to cost-effectively store every touchpoint of our interactions with our customers including down to the individual slide they view? Now organizations are using this knowledge to help guide our customers to the right courses and to adapt the learning experiences to their goals. We will show how our graph databases are the next step in bringing AI into the classroom.
What is a graph database?
Why are they becoming popular?
How do they help us quickly create and view a single view of our customers and our students?
How do they work with predictive analytics and AI?
How can we create better recommendation systems about what course to take, what lesson to start with or what slide to view?
Dan McCreary is an author, speaker, and evangelist for graph technologies. As a Distinguished Engineer at Optum, he works with business units within United Healthcare (Fortune 6) to evaluate and integrate advanced technologies including AI, Graph, and NoSQL into their digital ecosystem. Dan has a solid background and understanding of solution architecture. He has worked for Steve Jobs at NeXT Computer, at Bell Labs as an integrated circuit designer and as the owner of Integrity Solutions, a consulting firm of over 70 employees. He has expertise in NLP, US federal data integration (NIEM), XML standards, taxonomy and ontology development, and semantic search.
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