Super Data Science: ML & AI Podcast with Jon Krohn

809: Agentic AI, with Shingai Manjengwa

Aug 13, 2024

Shingai Manjengwa from ChainML, a pioneer in blockchain and AI, discusses the revolutionary impact of Agentic AI. He explains how AI agents are automating everyday tasks and collaborating to tackle complex problems. The conversation highlights the synergy between blockchain technology and AI, fostering transparency and trust. Listeners learn about the innovative Theoriq protocol and the transformative Council Analytics tool, which allows natural language interactions with datasets. Shingai also addresses the challenges and future of multi-agent systems.

01:10:19

Episode guests

Shingai Manjengwa

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Agentic AI agents autonomously execute tasks like travel bookings, showcasing their ability to improve efficiency through automation.

Multi-agent systems enhance collaboration among AI agents, allowing specialization that addresses complex challenges more effectively.

Blockchain technology provides transparency in AI agent interactions, fostering trust by enabling stakeholders to verify agent accountability and performance.

Deep dives

Understanding AI Agents

AI agents are defined as software that leverages artificial intelligence to perform specific tasks autonomously. They can utilize large language models (LLMs) and other forms of AI to autonomously plan and execute tasks based on user prompts. A simple example of an AI agent might be a chatbot that retrieves motivational quotes and sends them to a user daily, performing this task automatically rather than requiring the user to ask each time. This autonomous behavior is what distinguishes agents from basic LLM interactions, where users must continuously input requests.

Intro

2min

Storms and Connections in AI

8min

The Rise of Specialized AI Agents

8min

Selecting AI Agents within Blockchain Networks

14min

Exploring the Theoric Protocol: Enhancing AI Interactions

5min

Exploring Blockchain Technology and Its Applications

2min

Advancements in AI and Responsible Data Interactions

4min

Exploring Council Analytics and Multi-Agent Systems

2min

Building AI Portfolios and Understanding LLMs

6min

10.

The Rise of Multi-Agent AI Systems

13min

11.

Navigating the Landscape of Agentic AI: Opportunities and Challenges

2min

12.

Exploring Humanity in AI: Recommended Reads and Connections

2min

13.

Exploring the Innovations of Agentic AI

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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Super Data Science: ML & AI Podcast with Jon Krohn

809: Agentic AI, with Shingai Manjengwa

Episode guests