The Cloudcast Trustworthy AI Agents
22 snips
Jun 25, 2025 Tanmai Gopal, CEO and Co-Founder at Hasura, sheds light on building reliable AI systems. He emphasizes the importance of trustworthiness in AI agents for enterprise applications, discussing how organizations can overcome challenges in this space. The conversation delves into the differences between agentic and generative AI, particularly in their approach to problem-solving. Gopal also critiques existing data pipelines, advocating for innovative methods to enhance reliability and facilitate better human-AI collaboration.
AI Snips
Chapters
Transcript
Episode notes
Evolving Trust in AI
- Trust in AI evolves from simple task reliability to business-critical decision delegation.
- Businesses need AI that can be trusted like rigorous professionals, not just friendly assistants.
Measuring AI Reliability
- Enterprise trust in AI depends on reliability defined by predictability and explainability.
- AI must avoid surprising failures and produce consistent results to gain business trust.
Agentic vs Generative AI Trust
- Agentic AI differs from generative AI in goal orientation and predictability needs.
- Reliable AI must balance creative problem-solving with predictable methodologies.