AI Adoption Working Group

Overview

techUK's AI Adoption Working Group is comprised of organisations from across sectors and markets within our membership.

It provides members with the opportunity to discuss the barriers to AI adoption and how best to overcome these challenges, as well as to discuss AI adoption opportunities and areas for cross-industry collaboration and engagement with Government.

techUK members only

This group is open to techUK members only. Find out more about the benefits of techUK membership, on our Become a Member page.

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Our team

Usman Ikhlaq

Programme Manager - Artificial Intelligence, techUK

Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.

His role is to help techUK members of all sizes and across all sectors to adopt AI at scale. This includes identifying the barriers to adoption, considering solutions and how best to maximise AI's potential.

Prior to joining techUK, Usman worked as a policy, government affairs and public affairs professional in the advertising sector. He has also worked in sales and marketing and FinTech.

Usman is a graduate of the London School of Economics and Political Science (MSc), BPP Law School (GDL and LLB) and Queen Mary University of London (BA).

When he isn’t working, Usman enjoys spending time with his family and friends. He also has a keen interest in running, reading and travelling.

Email:: [email protected]
LinkedIn:: https://uk.linkedin.com/in/usman-ikhlaq,https://uk.linkedin.com/in/usman-ikhlaq

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Katherine Holden

Associate Director, Data Analytics, AI and Digital ID, techUK

Katherine joined techUK in May 2018 and currently leads the Data Analytics, AI and Digital ID programme.

Prior to techUK, Katherine worked as a Policy Advisor at the Government Digital Service (GDS) supporting the digital transformation of UK Government.

Whilst working at the Association of Medical Research Charities (AMRC) Katherine led AMRC’s policy work on patient data, consent and opt-out.

Katherine has a BSc degree in Biology from the University of Nottingham.

Email:: [email protected]
Phone:: 020 7331 2019

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