Where to next for Agentic AI? Interview with Philip Swan

Joining us on the bridge of the good ship SS Tomorrow is, Phillip Swan from Iridius discusses the concept of agentic AI, its mission to provide safe and responsible AI solutions, and the challenges of AI hallucinations. He differentiates between generative AI and agentic AI, emphasises the importance of trust in AI adoption, and shares insights on the future of AI and robotics. Swan also talks about the importance of passion in technology careers and the need for operational efficiency in AI-driven companies.

Keywords

Agentic AI, Iridius, AI solutions, compliance, hallucinations, generative AI, trust, robotics, operational efficiency, and the future of work.

Takeaways

Iridius aims to deliver AI solutions that are safe and responsible.

Proper context can mitigate AI hallucinations.

Generative AI is based on large language models, while agentic AI is autonomous.

The AI industry is currently in a hype cycle, with many companies likely to fail.

Trust is essential for the adoption of AI solutions.

Passion for technology is crucial for a successful career in the field.

Speed to market is critical for AI solutions.

Household robots will become common within the next decade.

AI systems require safety measures, including kill switches.

Contextual prompts lead to more accurate AI outputs.

Chapters

00:00 Introduction to Agentic AI and Iridius

01:21 Iridius' Mission and Market Reception

04:28 Understanding AI Hallucinations and Mitigation Strategies

08:19 Generative AI vs. Agentic AI

11:10 The AI Hype Cycle and Future Trends

15:01 The Role of Trust in AI Solutions

17:48 Passion and Career in Technology

21:53 Delivering Value to Customers

23:26 The Future of AI and Robotics

26:05 Agentic AI: Entitlements and Safety

28:31 Operational Efficiency and the Future of Work

31:21 Learning and Engaging with AI