Large Language Models in Supply Chain (with Rinat Abdullin) - Ep 152

Full transcript available: www.lokad.com/...
In a recent dialogue, Conor Doherty of Lokad conversed with Joannes Vermorel and Rinat Abdullin about generative AI's impact on supply chains. Vermorel, Lokad's CEO, and Abdullin, a technical consultant, discussed the evolution from time series forecasting to leveraging Large Language Models (LLMs) like ChatGPT. They explored LLMs' potential to automate tasks, enhance productivity, and assist in data analysis without displacing jobs. While Vermorel remained cautious about LLMs in planning, both acknowledged their utility in composing solutions. The interview underscored the transformative role of AI in supply chain management and the importance of integrating LLMs with specialized tools.
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Timestamps:
00:00:00: Introduction to the interview
00:01:00: Rinat's Lokad journey and supply chain challenges
00:03:59: Lokad's evolution and simulation insights
00:07:07: Simulation complexities and agent-based decisions
00:09:15: Introducing LLMS and simulation optimizations
00:11:18: ChatGPT's impact and model categories
00:14:14: LLMs as cognitive tools in enterprises
00:17:10: LLMs enhancing customer interactions and listings
00:20:30: LLMs' limited role in supply chain calculations
00:23:07: LLMs improving communication in supply chains
00:27:49: ChatGPT's role in data analytics and insights
00:32:39: LLMs' text processing and quantitative data challenges
00:38:37: Refining enterprise search and closing AI insights
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[@gmplopes]

Fantastic talk! Tkank you