Businesses are reconfiguring their operations in an effort to adapt to changing market dynamics. As historical data ages faster than ever before, organizations need new ways of capturing, analyzing, and learning from data.
Enter knowledge graphs – the most powerful tool businesses have for driving intelligent business decisions.
Industry leaders like NASA, AstraZeneca, UBS, Lyft, Lockheed Martin, and Allianz are already deploying knowledge graphs for use cases like skills discovery, patient journey analytics, data governance and compliance, product 360, and risk management.
This 45-minute webinar features an interview with the authors of Neo4j’s new book, Knowledge Graphs: Data in Context for Responsive Businesses. Moderated by subject matter expert Maya Natarajan, book authors Jesús Barrasa, Amy Hodler, and Jim Webber will discuss how to drive key business decisions using the contextual knowledge derived from a knowledge graph.
Don’t miss this session, where you will:
- Explore how to go from a graph to a knowledge graph
- Learn how to bridge data silos via data assurance and insight from knowledge graphs
- Discover how to improve decisions with ML, analytics, and graph data science
- Understand the role of knowledge graphs in ML for better predictions
- Dive into use cases like impact analysis, root cause analysis, feature engineering, fraud, and much more
Amy Hodler is the Graph Analytics & AI program director at Neo4j. She loves seeing how the community uses graph analytics to reveal structures within real-world networks and infer behavior.
Amy is the co-author of the O'Reilly book Applied Graph Algorithms in Apache Spark and Neo4j, published in early 2019 and updated July 2020.
Dr. Jim Webber is Chief Scientist at Neo4j working on next-generation solutions for massively scaling graph data. Prior to joining Neo4j, Jim was a Professional Services Director with ThoughtWorks where he worked on large-scale computing systems in finance and telecoms. Jim has a Ph.D. in Computing Science from the Newcastle University, UK.
Dr. Jesús Barrasa is the head of the Sales Engineering team in EMEA and Neo4j's resident expert in Semantic technologies. He combines over 20 years of professional experience in technical sales & consulting in the Data Management space as well as in research and Academia.
Prior to joining Neo4j, Jesús worked for data integration companies like Denodo and Ontology Systems(now EXFO) where he got first-hand experience with many successful enterprise-wide Data integration deployments and large Graph Technology projects enhancing the operations and analytics of major companies all over the world.
Jesús' Ph.D. in Artificial Intelligence/Knowledge Representation, focused on the automatic repurposing of legacy data as Knowledge Graphs.
Dr. Maya Natarajan is Neo4j’s Sr. Director for Knowledge Graphs. She is passionate about bringing different technologies together to solve complex problems. At Neo4j, Maya is championing the use of knowledge graphs to bring context to various systems. Maya has positioned technologies from Blockchain to Predictive & User-Based Analytics to Machine Learning to Deep Learning to Search to BPM and beyond in a myriad of industries at various small and large companies.
Maya started her career in the biotechnology area where she was in R&D focusing on cardiovascular drugs, and she has five patents to her name.