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ADViCE Webinar Series

ADViCE – Decarbonising Manufacturing Inputs Webinar [Online]

Date: 20 May 2024 12:00 - 20 May 2024 13:30

Register by: Monday 20 May 2024


Manufacturing processes are a significant contributor to global GHG emissions, with heavy industry responsible for nearly 40% of global CO2 emissions.

However, the task of decarbonising manufacturing is complex and costly, often requiring a complete overhaul of production processes and finding low-carbon alternatives for feedstocks and raw materials.

Presenting the different decarbonisation challenges that exist in the manufacturing sector, this webinar explores the different artificial intelligence (AI) tools available for decarbonising inputs and processes.

Topics will include the design of low-carbon manufacturing processes, implementation of onsite renewables and storage solutions, as well as carbon accounting and modelling.

About This Event

This event is organised by the Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence (ADViCE), aimed at the development of innovative artificial intelligence technologies for decarbonisation applications to support the transition to Net Zero.

As a collaboration between Digital Catapult, Energy Systems Catapult, and The Alan Turing Institute, and as part of the Department for Energy Security and Net Zero’s Net Zero Innovation Portfolio, ADViCE will be delivering a series of webinars focused on key challenges identified in the ADViCE: AI for Decarbonisation Challenges report, which highlights key areas that could benefit from AI adoption in the effort to decarbonise.

Who Should Attend?

This webinar will be of particular interest to potential AI adopters within the manufacturing sector who are exploring decarbonisation solutions as part of the full manufacturing process, especially with regards to inputs.

Active participation is also encouraged from:

  • AI developers and innovators
  • Investment community
  • Local government authorities
  • Regulatory authorities
  • Academia and research centres
  • AI for Decarbonisation and ADViCE ecosystem contributors

Why Attend?

This webinar will highlight cutting-edge AI startups that have made significant contributions to decarbonising manufacturing inputs. These companies will share insights and case studies for solutions to decarbonise manufacturing processes including:

  • Leveraging AI for data analysis and visualisation within supply chains, 
  • Carbon tracking and modelling facilitated by AI
  • Harnessing AI for the design and optimisation of new manufacturing processes

As part of a panel discussion, AI developers and adopters will explore some of the existing challenges surrounding AI adoption in manufacturing, including finding relevant datasets to fuel AI tools to deciphering the tangible benefits of AI tools for manufacturers.


  • Introduction / state of play of AI for net zero
  • Deep-dives into AI tools for decarbonising industry
  • Panel Discussion
  • Q&A Session


Buffy Price (1)
Buffy Price
Carbon Re

Buffy is a co-founder and COO of Carbon Re. She wears many hats in this role including MarComms, Policy, Legal and HR. Formerly the AI for Climate Partnerships Manager at Element AI and Senior Advisor at Amnesty International, Buffy has extensive experience in change management, organisational development and project management.

Bogdan Nenchev
Dr Bogdan Nenchev
Machine Learning Scientist

Bogdan Nenchev is a leading expert in the field of material science and AI. With over 6 years of experience in the field, he has developed cutting-edge algorithms as well as drive interpretability in AI. After completing his PhD in Material Science from the University of Leicester, Bogdan focused on improving processes in the metallurgy industry. Bogdan’s passion for AI has led him to specialise in multiple domains including metals, chemicals, batteries, and concrete. He has applied his skills in machine learning to build and deploy models dealing with small, noisy and sparse datasets. He is actively helping organisations derive insights from their data, enabling them to make informed decisions and optimise their products. His work has been published in peer-reviewed journals and presented at international conferences.

Jim C
Jim Carroll

Jim Carroll is a highly experienced technical director with a background in embedded systems. Over 25 years, Jim has designed and built large scale software solutions reaching millions of users working as a software engineer, technical architect, programme manager and CTO. The majority of Jim’s work has been in the semiconductor sector, working with companies including Intel, Arm and Imagination Technologies. In a wide ranging technical career, Jim has also worked on AI, IoT, cloud, mobile and automotive projects; this experience has been invaluable in contributions to software standards groups.