This session will cover what GenAI is and how it works, and why a vector DB or other DBs can be used to improve performance and lower the cost of GenAI. I will detail a dozen or more DB choices including Vector DBs, Relational, and NoSQL options. The session will be on the advanced side but should inform both experienced and non-experienced AI solution architects and infrastructure providers about what it is and how it might be done to their advantage.

In this session, we will explore GenAI and how Vector & other DBs can be used in a beneficial manner. We will discuss:

• What is GenAI
• What are some use cases 
• What is a Vector DB and how does it differ from Relational and NoSQL
• Considerations in choosing a DB
• How DBs can accelerate GenAI performance and reduce cost

Speaker: Mike King

Mike has 32+ years of core IT experience, including stints at FedEx, Xerox, Autozone, IBM, and some boutique consulting firms. His previous roles have included solution architecture, enterprise architecture, data architecture, technology management, data management, DBA, analytics, data warehousing, data governance, performance and tuning, system administration, and programming. 

Mike has been a presenter at Oracle Open World, the International Sybase User Group, and MidSouth DAMA. While at FedEx, he has led POCs for big data, EA tools, databases, archiving, and database tools. Mike delivered FedEx's initial DBaaS offering for Oracle on Linux. He also architected the 2nd generation solution that is still in use today. Mike served as a domain architect in the customer service space for an application rationalization effort. He chaired the Data Architecture Council and led a variety of data architecture efforts.