AI on Draught: Carbon Footprint in Manufacturing

​Welcome to AI on Draught – an exclusive evening of drinks and expertly curated conversation focused on implementing the toughest sustainability solutions in industrial settings.

​This isn't your average networking mixer. It's a highly targeted opportunity to build genuine connections, share advanced implementation insights, and find the right partners who can help you solve complex problems around industrial efficiency and sustainable material innovation.

​This event is designed to bring together a select group of 30 leaders and innovators who are shaping the future of industrial production by leveraging artificial intelligence to drive decarbonisation and is supported by Hewlett Packard Enterprise (HPE).

​Format

​On Wednesday 29 October, we're creating a unique networking experience. Before the event, we will ask each attendee to share their professional challenges, key interests, and areas of expertise.

​Our team will then use this information to personally match you with other guests we think you should meet, ensuring your time is spent on meaningful, pre-mapped conversations that bridge the gap between AI implementation and practical carbon reduction.

​Think discussions on the following examples:

• ​Digital twins vs. physical testing for material stress;
• ​Optimising Quality Assurance (QA) with computer vision;
• ​Accelerating R&D with Generative AI; and
• ​Improving efficiency through data centre heat transfer and reuse.

​Please note that only those who provide relevant information will have their applications approved.

​Event Details

​Date – Wednesday 29 October
Time – 6:00 PM - 9:00 PM
Location – London AI Hub, 140 Goswell Road, EC1V 7DY

​Who You'll Meet

​We're bringing together a mix of corporate executives, technical specialists, and key ecosystem players, including:

• ​Industrial Leaders: Heads of Sustainability, Directors of Operations, Chief Manufacturing Officers, and Digital Transformation Leads focused on heavy industry.
• ​Technical Innovators: Applied Data Scientists, ML Engineers focused on energy and physics, and MLOps Engineers building industrial control systems (OT/IT convergence).
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​​​🎟️ Please apply for this event to confirm your registration!