Preparing for AI in procurement
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Event Details
Aimed at CIPS members and non-member Procurement Professionals at all levels, the event’s speakers will offer an overview of the practical application of intelligent software to Procurement activity; the benefits of end-to-end integration of intelligent software to support the activity of the Procurement function, and where its limitations are; as well as how to upskill existing Teams and ourselves to meet the Artificial Intelligence skillset demand.
If you have any queries please contact branchevents@cips.org
EVENT VENUE:
Hays, 5th Floor, 107 Cheapside, London, EC2V 6DN
EVENT SPEAKER
Declan Kevener
Is leader in the Digital Transformation and AI space with a track record of delivering £multi-million digital projects for market leading clients. He has experience incorporating AI for S2P, CLM and SRM, identifying and initiating state of the art solutions that utilise AI to enhance and facilitate cost reductions. He was a member of ext. Group Executive Board at Chain IQ, a procurement BPO provider recognised as a "Star Performer" by Everest
Pascal Evertz
Dr. Pascal Evertz' approach is marked by a spirit of collaboration, innovation, and excellence within teams. He emphasizes the importance for Procurement and Project Management professionals to recognise and leverage human intelligence and artificial intelligence. Drawing on insights from 400 sourcing projects, he utilises and shares his knowledge on how Procurement can generate strategic business value.
In 2022, Pascal completed his Doctorate in project and program management, focusing on predicting project management success. In 2023, he embraced Artificial Intelligence, developing AI-powered procurement, legal and contract management tools with a team of brilliant minds, clients, and partners. His contributions reflect his vision for a more efficient, innovative procurement landscape. He is renowned for his AI experience and value-add driven approach to achieve sustainable cost reductions fueled by people collaboration and driven by data.