Mainly AI
Podcast Description
Welcome to Mainly AI — the show where artificial intelligence meets real-world impact. Join your hosts Dan Mitchell and Viby Jacob as they explore the latest breakthroughs in AI and other emerging technologies, and how they’re changing business, science, and your everyday life. From startup founders to academic minds, we bring in the experts shaping the future — and break it all down in a way that's smart, sharp, and seriously fun. There's nothing to fear. AI can help humanity in so many ways! It's an exciting time to be alive.
Podcast Insights
Content Themes
The podcast focuses on the latest breakthroughs in AI, emerging technologies, and their practical applications across various sectors. Topics include agentic AI, autonomous intelligence, and ethical implications of AI technologies, with specific episodes discussing the future of autonomous agents and their roles in enhancing efficiency and creating new job opportunities.
Welcome to Mainly AI — the show where artificial intelligence meets real-world impact. Join your hosts Dan Mitchell and Viby Jacob as they explore the latest breakthroughs in AI and other emerging technologies, and how they’re changing business, science, and your everyday life. From startup founders to academic minds, we bring in the experts shaping the future — and break it all down in a way that’s smart, sharp, and seriously fun. There’s nothing to fear. AI can help humanity in so many ways! It’s an exciting time to be alive.
In this episode of Mainly AI, hosts Dan Mitchell and Viby Jacob dive into the topic of agentic AI with guests Neetu Pathak, CEO and co-founder of SkyMel, and Drew Dimmick, CTO and co-founder of Prompt 360. They discuss the necessity of check-in balances for autonomous agents, the implications for various industries, and real-world use cases for these agents, including customer support and enterprise IT management. Ethical considerations and potential ramifications such as the need for governance frameworks and liability issues are explored. The conversation also touches on the future of AI agents in enhancing day-to-day tasks, reducing menial work, and creating new types of jobs. The episode concludes with a discussion on the Model Context Protocol (MCP) and A2A (Agent to Agent) communication protocols that facilitate the cooperation between agents, making systems efficient and flexible.
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.