Harsh Vardhan of Apollo Tyres explains how the company is using industrial AI, digital twins and agentic systems to drive autonomous manufacturing while balancing governance, explainability and ROI.
As manufacturers move from artificial intelligence experimentation to autonomous operations, building secure and reliable guardrails for agentic AI has become a critical priority. This session explores how organizations are deploying agentic AI systems across manufacturing, supply chain and energy optimization use cases to drive measurable business outcomes. The session also underscores how multi-agent architectures, autonomous decision-making and industrial AI are enabling faster problem resolution, process optimization and reduced rework on the shop floor.
In this session, you will learn:
- How Apollo Tyres is using agentic AI to drive autonomous manufacturing operations;
- Why guardrails, governance and hallucination control are critical for industrial AI systems;
- How digital twins and multi-agent AI architectures are improving efficiency and operational ROI.
Here is the course outline:
Building Guardrails for Agentic AI: Who’s Accountable When Agents Get It Wrong? |
Completion
The following certificates are awarded when the course is completed:
 |
CPE Credit Certificate |
