#AgenticAI #MongoDB #NoSQL Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: @JonKrohnLearns 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. 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: • (00:00:00) Introduction • (00:01:53) How Richmond became a Staff Developer Advocate • (00:05:53) How NoSQL database differs from a relational database • (00:15:40) The advantages of working with the cloud-based MongoDB Atlas • (00:32:04) Richmond’s predictions for agentic AI • (00:39:46) How to create an effective AI strategy Additional materials: www.superdatascience.com/871