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871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake

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Manage episode 472028668 series 2532807
Content provided by Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Krohn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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 [email protected] 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
  continue reading

960 episodes

Artwork
iconShare
 
Manage episode 472028668 series 2532807
Content provided by Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Krohn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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 [email protected] 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
  continue reading

960 episodes

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