Super Data Science: ML & AI Podcast with Jon Krohn

809: Agentic AI, with Shingai Manjengwa

Aug 13, 2024

Shingai Manjengwa, a representative from ChainML, dives into the transformative realm of Agentic AI. He showcases how these AI agents are streamlining tasks like travel bookings and offering daily inspiration. Shingai discusses the innovative Theoriq protocol and how blockchain technology fosters trust in AI systems. He also highlights the potential of multi-agent systems to tackle complex challenges, and shares insights on the emerging Council Analytics tool that allows users to interact with data in natural language.

01:10:19

Episode guests

Shingai Manjengwa

AI Summary

Highlights

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

AI agents are revolutionizing task automation and user experience by providing specialized, autonomous solutions for everyday activities like travel planning.

The rise of multi-agent systems emphasizes collaborative capabilities among AI agents, enabling them to solve complex tasks seamlessly and efficiently.

Blockchain technology enhances trust in AI agents by ensuring transparency and accountability in their operations through decentralized tracking of interactions.

Deep dives

Understanding AI Agents

AI agents are defined as software that utilizes artificial intelligence to perform specific tasks autonomously. They often utilize large language models (LLMs) to function more effectively, such as chatbots that can execute commands and manage planning tasks. A common example includes an itinerary agent that assists users in organizing travel plans tailored to their individual needs, showcasing the specialization of agents in providing tailored solutions. The rise of AI agents emphasizes their ability to automate tasks and interact with multiple systems seamlessly, offering a glimpse into the future of automated, intelligent software.

Evolving Through Education: From Data Science to AI

00:56

Solve Hard Problems for Lasting Value

01:25

Harnessing AI for Seamless Travel Management

01:24

Intro

2min

Conversations on Thunderstorms and AI

8min

Exploring AI Agents and Their Capabilities

8min

AI Agents and Blockchain Trust

14min

Integrating AI Agents and Blockchain Innovations

10min

Exploring Council Analytics and the Agentic Future

2min

Navigating the Landscape of Agentic AI and Large Language Models

6min

The Future of Agentic AI and Ethics

17min

Exploring Agentic AI and Its Autonomous Capabilities

3min

Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, 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:

• What A.I. agents are [10:51]

• How blockchain technology helps humans trust A.I. agents [18:27]

• The Theoriq protocol developed by ChainML [34:05]

• How Council Analytics lets you “speak” to their dataset with natural language [39:00]

• A future of multi-agent systems [50:42]

• Challenges and risks associated with agentic AI [1:04:17]

Additional materials: www.superdatascience.com/809

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