David Foster

Founding Partner Applied Data Science Partners (ADSP)

David Foster is co-founder of Applied Data Science Partners and the author of Generative Deep Learning: Teaching Machines To Paint, Write, Compose and Play (O'Reilly), an acclaimed technical textbook focused on novel applications of deep learning to generative modelling. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick. He is a faculty member of the Machine Learning Institute and winner of several international machine learning competitions.

Main Conference Day One - Tuesday 21st May

2:30 PM Panel Discussion: Crafting the Future with Generative AI - A Multidisciplinary Panel on Generative Design

Explore how design intersects with Generative AI, shaping the future of creativity, engineering & beyond.

-       Exploring new frontiers of design.

-       Prioritizing exploration in design processes, with case studies to share.

-       Promote ongoing education and skill-sharing across design disciplines, fostering a vibrant community advancing generative creativity.

Main Conference Day Two - Wednesday 22nd May

3:20 PM Panel Discussion: Navigating the Journey from Pilot Studies to Generative AI Deployment

Successfully transitioning from pilot studies to large-scale implementation is a pivotal challenge in realizing the potential of Generative AI.

-       Gaining insights into the critical considerations and strategies for scaling Generative AI solutions across organizations.

-       Learning how to address infrastructure, data, and compliance challenges when moving from pilot to production.

-       Discovering best practices for talent acquisition, training, and collaboration to ensure a smooth transition to large-scale implementation.

Workshop Day - NOW Monday 20th May

8:30 AM Workshop A - Generative AI 101: Understanding & Leveraging LLMs For Business Success

The rise of large language models (LLMs) such as OpenAI’s GPT-4 is a game-changer in the world of artificial intelligence and natural language processing.

This interactive workshop will dive into the inner workings of LLMs, demystifying their capabilities and exploring the wide array of available implementations (including commercial APIs and open source options) and potential security challenges that these come with. We'll showcase how businesses can safely capitalise on the immense power of LLMs to tackle complex challenges and unlock new opportunities.

 Learning objectives:

  • Master the fundamentals of LLMs and their transformative impact on the AI and NLP landscape
  • Navigate the diverse range of LLM implementations, both commercial and open source, to pinpoint the optimal solution for your organisation
  • Uncover real-world applications of LLMs for solving various business problems and fuelling innovation within your organisation
  • Improving understanding of the security considerations for non-experts: delving into potential challenges with external-facing LLMs, permissions, abuse, copilots, and what is being done to mitigate these

By the end of the session, you’ll walk away with a solid understanding of the potential application of LLMs & their related safety considerations within your organisation and the technical expertise to integrate them into your business strategies.

Check out the incredible speaker line-up to see who will be joining David.

Download The Latest Agenda