Data Management for AI: Knowledge Graphs, Vector Databases, and Semantic Layers

As the saying goes, context is everything – and this is certainly the case with AI. To be useful, AI systems need to be able to understand nuance and deliver accurate, relevant results. Our ability to derive insights from data is dependent on how data is represented and interpreted. With large, complex datasets, advanced search and retrieval capabilities have become essential to building reliable AI systems and applications. For many organizations, implementing these capabilities will not only require the modernization of current data infrastructure and practices, but new technologies and skills as well. To drill down on three key components of the evolving AI stack, DBTA is hosting a special roundtable webinar on September 26th.

Reserve your seat today!

Register Now to attend the webinar Data Management for AI: Knowledge Graphs, Vector Databases, and Semantic Layers. Don't miss this live event on Thursday, September 26, 11 AM PT / 2 PM ET.