Event overview
Procurement & Supply Chain London brings over 3,000 attendees representing the world’s largest companies (in-person and virtually) to discuss important topics affecting the industry. This year, the conference will focus on the following themes:
- procurement technology
- supplier diversity
- strategic sourcing procurement strategy
- supply chain sustainability
- supply chain risk and resilience
Hear from us
2023 has been the year that AI hit the press with the launch of ChatGPT. And it is rapidly developing in procurement and supply chains. Through our work in the Digital Supply Chain Hub, we are working with tech startups across industries to test and deploy AI solutions that are set to transform supply chains.
With that in mind, join Tim Lawrence and Hassan Mahmud on Tuesday 26th September from 3:15pm – 3:35pm to find out how AI can make a difference for your supply chains.
Find out more about them below.
Speakers
Tim Lawrence, Director of the Digital Supply Chain Hub, and Dr. M. M. Hassan Mahmud, Lead AI/ML technologies will be key-note speakers at the conference.
Tim Lawrence
Director, Digital Supply Chain Hub
Tim joined Digital Catapult in September 2021 as Director of Digital Supply Chain and the Made Smarter Innovation hub. Tim has extensive experience in improving global businesses and supply chains working within the Automotive, Consumer Goods, Aerospace, Defence, Construction, Life Science and Industrial Sectors. His experience includes 25 years in supply chain consultancy, leading global companies to deliver transformation in their business and operations focused on strategy, operating model and organisational design, digital supply chain, restructuring and performance improvement.
Dr. M. M. Hassan Mahmud
Lead AI/ML Technologist
Dr. M. M. Hassan Mahmud is a Lead AI/ML Technologist at Digital Catapult and he leads the AI/ML core technologies unit at DC. Prior to joining Digital Catapult, he was a Data Scientist in industry, building and deploying machine learning models for supply chain optimisation, and for financial crime detection. As an AI/ML researcher, he began his career in academia by obtaining a PhD in AI/ML from the University of Illinois at Urbana-Champaign, and then continued on as a research fellow in AI/ML at the Australian National University and University of Edinburgh, during which his research covered a broad spectrum, from fundamental machine learning theory to applied robotics.
