The workshop generated 6 actionable use cases, providing the R&D team with a solid understanding and enabling them to explore new AI opportunities.
Meet our client
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Client’s Challenge
A global tire company’s R&D team, experienced in reinforcement learning and traditional AI agents, wanted to explore the potential of Large Language Model (LLM) agents. With no prior experience with LLMs, they needed a structured approach to understand how these technologies could be applied to their operations.
Our Solution
We conducted a two-part workshop for the company’s 10-person team. The first session covered business applications of LLM agents. In the interactive session, participants brainstormed relevant use cases, including safe driving, accident analysis, and new material discovery. The second session provided a technical deep dive on LLM implementations, research papers, tools, and industry examples.
Client’s Benefits
The workshop generated 6 actionable use cases, providing the R&D team with a solid understanding and enabling them to explore new AI opportunities. A PoC project was initiated soon after.
