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

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