How can leaders in the data and analytics space prepare for the year ahead? Noel Yuhanna, VP and Principal Analyst at Forrester, and Jim Webber, Chief Scientist at Neo4j, have the answers.
- The rapid rise of GenAI
- The explosion of unstructured and semi-structured data
- Enhancing GenAI and data fabric initiatives with knowledge graphs
During this session, you’ll learn about the organizational and technical challenges that must be overcome to deliver value for GenAI initiatives. You’ll also see how you can effectively manage your data in a world where 80 percent of data is unstructured.
To set your company and yourself up for success in 2024, don’t miss this opportunity to hear what’s to come in the data and analytics landscape.
Noel has more than 25 years of experience in IT and has held various technical and management positions. He came to Forrester through its acquisition of Giga Information Group in 2003. Prior to joining Giga, Noel spent several years at Exodus Communications and led a group responsible for planning and implementing mission-critical enterprise applications including ERP, CRM, and other internal apps.
Dr. Jim Webber is Neo4j’s Chief Scientist and a Visiting Professor at Newcastle University. At Neo4j, Jim leads the Systems Research Group, working on a variety of database research topics with a focus on fault-tolerance. He also co-authored several books on graph technology, including Graph Databases (1st and 2nd editions, O’Reilly), Graph Databases for Dummies (Wiley), and Building Knowledge Graphs (O’Reilly).
Prior to Neo4j, Jim worked on fault-tolerant distributed systems, first at Newcastle University startup Arjuna and then for a variety of clients for global consulting firm ThoughtWorks. Along the way Jim co-authored the distributed systems books REST in Practice (O’Reilly) and Developing Enterprise Web Services: An Architect’s Guide (Prentice Hall).
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