LONDON AGENDA

Agenda

• 9:00 – 9:45a

  Driving AI value at enterprise scale in 2024

  Nick Elprin CEO, Domino Data Lab

  Enterprises are ramping up AI across all areas. How do you meet high expectations without sacrificing budgets or responsible practices? Hear from Domino executives, industry experts, and thought leaders as they discuss the enterprise's path to AI success.
• 9:45 – 10:15

  Rethinking AI and its impact on Business and Humanity

  Daniel Hulme Chief AI Officer, WPP

  Working in academia, the public and private sectors, Daniel is a globally recognised expert in Artificial Intelligence as well as its applications and the social, commercial, economic and ethical implications.

  In a world where many believe access to more and more data will lead to ever better decision-making, he looks at what AI really is, as well as identifying the current and future challenges and opportunities for emerging technologies. Daniel provides a radical new framework for thinking about AI, and discusses how organisations can practically adopt these technologies and avoid being seduced by the hype.

  He argues that whilst these technologies are incredible at creating growth and streamlining operations, for companies to stay innovative they need to also use AI to unlock the creative capacity of their workforce. Daniel also covers the macro impact these technologies may have on business and humanity over the coming decades.

  
  
• 10:15 – 10:35a

  Customer and thought leadership spotlights and panels

  In this session, industry leaders will share strategic and operational perspectives about their enterprise AI journeys. Panels will discuss GenAI, upskilling, digital transformation, cost management, and more.
• 10:35 – 11:05

  The great GenAI compression

  Fernando Lucini Global Data Science & Machine Learning Engineering Lead, Accenture
• 11:15 – 12:00p

  Data Science Track

  Building future-proof in-house AI systems: an illustration with Intelligent Document Processing

  Sébastien Conort Chief Data Scientist, BNP Paribas CARDIF

  With the rapid advancement of GenAI, AI leaders are facing an unprecedented pace of innovation in AI technologies. New, open-source AI and GenAI models are emerging at an astonishing rate, with some released every few weeks.

  In this fast-paced environment, where entire approaches can shift quickly, it's crucial for in-house AI systems to be designed with flexibility and foresight to capitalize on opportunities while minimizing the need for costly system overhauls.

  (click '+' at right for more)

  IT Track

  Maximising the value of AI by controlling costs

  Learn how to simplify cost management with comprehensive FinOps that improves and centralizes cost visibility across the entire AI lifecycle, all users, and all infrastructures. This session will show IT leaders how to employ high-impact end-user policies, smart automation, intelligent controls, and proactive monitoring that removes manual work and has been proven to lower AI costs by up to 40%.

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• 12:00 – 1:00p

  Networking lunch
• 1:00 – 1:45p

  Data Science Track

  5 characteristics of successful AI projects

  Domino is celebrating ten years in business and is today the foundation of many important AI projects. Learn what the most successful projects had in common. We share the 5 top, all-time project success drivers.

  IT Track

  Harnessing the Power of AI within Regulated Industries

  Liesbeth Ceelen CEO, Biolizard

  Michael Whitworth Group Partner – Life Sciences, BIP

  In this session, we explore the dual challenge of driving innovation while adhering to stringent governance standards in highly regulated industries such as life sciences and financial services.

  Join us as industry experts from leading consultancies share actionable insights on enabling state-of-the-art technologies while protecting data privacy and adhering to regulatory frameworks . This dialogue will equip data science and IT leaders with the tools to balance these critical aspects effectively.
  
• 2:00 – 2:50p

  Data Science Track

  Data science leaders: make AI responsible by default

  In this session with Dr. Kjell Carlsson, introduces a practical definition and framework for RAI and best practices from advanced AI teams operating in highly regulated industries. AI leaders will learn about the processes, people, and platform capabilities needed to mitigate AI and GenAI’s business, legal, and societal risks and prepare for future AI regulations while accelerating time-to-impact and business value.

  IT Track

  Scaling regulated enterprise AI the smart way with Domino Cloud

  Unpack the complexities of scaling AI within regulated industries and learn how Domino Cloud helps you navigate compliance and keep pace with innovation.
• 3:00 – 3:30p

  The Spotlight Experience
• 3:30 – 4:00p

  It’s the End of the World as we Know It (with AI That’s Fine)

  Kjell Carlsson, Ph.D. Head of AI Strategy, Domino

  Roughly 100 years ago, the Wall Street crash led to the Great Depression and ultimately World War II. Today the conditions for economic catastrophe and geopolitical strife are far more obvious than they were then. Every major asset class is overvalued and debt to GDP ratios are at their highest levels during peacetime. Politicians across the spectrum are pursuing policies that increase protectionism and hurt the global economy.

  In this environment, how do we survive, thrive and maybe even prevent mass economic stagnation? AI (including ML) isn’t our best friend, it is our only friend. Only by accelerating innovation and adoption of AI can we unlock new sources of economic growth, build organizational resilience, and increase agility to changing economic conditions. Through AI we can develop the next generation of products and services, and augment our limited human intelligence that got us into this mess in the first place. We can tackle the biggest challenges humanity faces with AI – health, climate change, conflict. We just need to build our capabilities for innovating with AI, governing it and operationalizing it at scale.
• 4:00 – 6:00p

  Networking reception