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AI/ML, MongoDB in DevOps and More with Richmond Alake

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Manage episode 467847323 series 2625788
Content provided by Joe Colantonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Colantonio 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://podcastplayer.com/legal.

In this episode of the DevOps Toolchain Podcast, host Joe Colantonio sits down with Richmond Alake, a developer advocate at MongoDB and an AI/ML practitioner with a strong background in computer vision, robotics, and machine learning. With years of experience in software development, Richmond has authored over 200 technical articles and taught numerous AI/ML courses.

Together, they dive into the evolving landscape of AI, machine learning, and multimodal AI, discussing how MongoDB shapes the future of AI-powered applications. Richmond shares insights on how vector embeddings, Retrieval-Augmented Generation (RAG), and agentic systems transform data storage and retrieval for AI-driven development. They also explore the impact of generative AI, the rise of multimodal AI, and how MongoDB serves as the memory provider for intelligent systems.

If you're a developer looking to build AI-powered applications efficiently, streamline your data management, or understand where AI is headed next, this is an episode you don’t want to miss!

🌟 Try Insight Hub free for 14 days now 👉 testguild.me/insighthub ⏳ No credit card required!

  continue reading

145 episodes

Artwork
iconShare
 
Manage episode 467847323 series 2625788
Content provided by Joe Colantonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Colantonio 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://podcastplayer.com/legal.

In this episode of the DevOps Toolchain Podcast, host Joe Colantonio sits down with Richmond Alake, a developer advocate at MongoDB and an AI/ML practitioner with a strong background in computer vision, robotics, and machine learning. With years of experience in software development, Richmond has authored over 200 technical articles and taught numerous AI/ML courses.

Together, they dive into the evolving landscape of AI, machine learning, and multimodal AI, discussing how MongoDB shapes the future of AI-powered applications. Richmond shares insights on how vector embeddings, Retrieval-Augmented Generation (RAG), and agentic systems transform data storage and retrieval for AI-driven development. They also explore the impact of generative AI, the rise of multimodal AI, and how MongoDB serves as the memory provider for intelligent systems.

If you're a developer looking to build AI-powered applications efficiently, streamline your data management, or understand where AI is headed next, this is an episode you don’t want to miss!

🌟 Try Insight Hub free for 14 days now 👉 testguild.me/insighthub ⏳ No credit card required!

  continue reading

145 episodes

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