Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025.
Additional materials: www.superdatascience.com/871
This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference.
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
- (04:10) How Richmond became a Staff Developer Advocate
- (07:40) How NoSQL database differs from a relational database
- (16:50) The advantages of working with the cloud-based MongoDB Atlas
- (32:26) Richmond’s predictions for agentic AI
- (40:38) How to create an effective AI strategy
