Samuel Parra

NA Manufacturing Integration Leader BASF

Samuel Parra is NA Manufacturing Integration Leader for the chemical firm BASF, pioneering the use of Lean and Agile in Manufacturing to consistently deliver value to the customer.

Tuesday 7th May 2024

10:00 AM Panel Discussion: Enhancing agility and process excellence through AI

How is OPEX management changing as AI maturity increases? Join our panel discussion as we explore how AI is enhancing agility and process excellence in 2024 and how industry and the way we work is transforming as a result.

Key takeaways:

  • Determine where AI systems and processes can be best applied to optimize process excellence, productivity, and OPEX reduction within your own setting
  • How does generative AI fit in with machine learning, data mining, and code-writing, and how is it already speeding up industry and transforming the way we work?
  • Speeding up of systems and processes – what can AI do for productivity and how is this playing out in practice?
  • How is AI affecting the overall workforce? What kind of upskilling and reskilling of current PEX employees is required to manage AI effectively? 

1:00 PM Case study: Benefits and pitfalls of AI: How to deploy AI effectively

Samuel Parra is NA Manufacturing Integration Leader for the chemical firm BASF, pioneering the use of Lean and Agile in Manufacturing to consistently deliver value to the customer. Join us for this presentation case study in which he shares BASF's learnings on the benefits and the pitfalls of artificial intelligence and where it makes most sense to deploy AI within the fabric of the company.

Key takeaways: 

  • Discover how BASF are successfully working with AI, machine learning and Generative AI large language model systems in a number of different areas across their business
  • Understand the limitations of what can realistically be achieved with AI, given the time it takes to develop reliable systems and the significant costs involved
  • Find out how BASF anticipate their usage of AI to develop in coming years
  • Determine how to best ensure that AI is developed, deployed and utilized responsibly within the business, both now and in the future