Scaling Generative AI: From Pilot Projects to Enterprise Adoption

2023 was the Year of Demystifying AI for the board
2024 is the Year of Operationalising AI

The AI driven transformation is underway. With increasingly powerful AI models coming to market, at some point soon every business will be an AI business.

Most organisations now have an AI roadmap – piloting multiple use cases that AI might be able to help with.

However, successfully adopting this technology at scale is hard. Most pilots end up as failed experiments that were technology led, and lacked a considered approach to adoption at scale.

Faculty is Europe’s most qualified and experienced AI company. Over the past 10 years, we have successfully helped clients realise the full benefit of AI by scaling pilots to enterprise wide deployments.

Join our expert panel at Faculty HQ for breakfast as they share their experiences and expertise in taking AI pilots to scaled adoptions.

Key Takeaways:

  • Not all AI use cases are equal and not all pilots will be successful. Develop a framework for evaluating performance and prioritise those with clear ROI & value to the business.
  • Think broadly across the organisation to understand how use cases can connect with each other for maximum impact. Building an integrated platform will be more effective than procuring a series of individual products when moving from pilot to widespread AI adoption.
  • Ensure your enablement team includes a multidisciplinary set of skills, not just technical, in order to embed into the business and generate value.


date & time

Wednesday, 17 July 2024
8:00 am – 11:00 am BST


5th Floor, 160 Old St, London EC1V 9BW

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Claire Dracott
Director of Tech Innovation at NewsUK

Claire oversees tech innovation at News UK, working with brands such as Times Media, The Sun, TalkSPORT, Virgin Radio, and TalkTV. With 14 years of experience leading design teams, she excels in fostering future-oriented thinking around trends and technologies. Claire leads multidisciplinary teams to explore emerging tech’s implications, identify optimal solutions, and quickly validate ideas with end users.

Andy Roberts
Head of Data Science at Beazley

Andy leads the development, deployment, and operation of data science, machine learning, and AI solutions at Beazley. With prior roles at Allianz and Thermo Fisher Scientific, his expertise spans various industries. Andy’s career began at IBM, where he spent 13 years in commercial, finance, and technical roles, also qualifying as an accountant. His work consistently revolves around data, with recent years focusing heavily on AI.

Reshma Sheikh
Head of AI Transformation at Eversheds

Reshma spearheads AI and ML initiatives at Eversheds Sutherland, leveraging her background in digital transformation from her time at ThoughtWorks and Springer Nature. She is dedicated to diversity and inclusion, focusing on women, BAME, and mental health. An experienced leader and angel investor, Reshma has lived, studied, and worked across North America, Europe, Asia, and the Middle East. She enjoys yoga, sewing, travel, and learning Italian in her spare time.

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