PHILADELPHIA AGENDA

Agenda

• 9:00 – 9:05a

  Wecome by Domino
• 9:05 – 9:35a

  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.
• 9:35 – 10:05a

  Don't pick a use case based on business value alone: A framework for avoiding POC purgatory

  Sol Rashidi Data & AI Strategic Advisor
• 10:05 – 10:25a

  Responsible AI

  Diya Wynn Responsible AI Lead, AWS
• 10:25 – 10:55a

  Aligning your culture & workforce to create an AI-driven approach to drug discovery

  Dave Johnson Data and Artificial Intelligence (AI) Thought Leader

  Discover how to align your workforce, culture, strategy, and scientific processes to adopt and embrace AI-based drug discovery.

  Learn how to prioritize use cases that deliver early wins, educate your workforce through an AI Academy that turns naysayers into AI champions, and tap change management best practices to create business value and unprecedented operational efficiencies in drug discovery.
• 11:15 – 12:00p

  Transforming clinical reporting with a modern statistical computing environment

  Eileen Ching Senior Director, Biostatistics Technical Capability Delivery, GSK

  Saurin Mehta Senior Director of Technology, GSK

  The pharmaceutical and biotechnology industry has experienced significant technological advancements and a paradigm shift fueled by the explosion of data in recent years, revolutionizing drug discovery, development, and delivery.

  (click '+' at right for more)

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• 12:00 – 1:00p

  Networking lunch
• 1:00 – 1:45p

  The secret sauce of AI value

  Jeev Kiriella Director, Commercial Data Science – Head of AI/ML Products, Merck

  Unlock the secrets to deploying cost-effective AI solutions that boost value without breaking the bank or compromising on quality and security.

  CDAOs and CIOs can gain perspective on how to properly scope and prioritize AI and GenAI projects, assign the best KPIs, and align people, processes, and technologies to unlock more business value from AI programs.

  (click '+' at right for more)

  Building a qualified AWS environment for validated life science applications

  Keith Parent CEO, Court Square Group

  All data submitted to the FDA must be managed in a validated environment in accordance with 21 CFR Part 11. Moving from On-Premise (OnPrem) to AWS cloud hosting can improve access and security.

  However, life science companies still need to ensure that data in AWS is FDA audit-ready. Domino Cloud for Life Science (DCLS) includes the necessary end-to-end process, procedures, and change controls that are in place and continuously monitored to provide a robust yet regulatorily compliant environment.

  (click '+' at right for more)

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• 2:00 – 2:45p

  AstraZeneca’s FAIRR framework for transforming & modernizing drug discovery

  Ronen Artzi Technology Innovation Lead, AstraZeneca

  Matt Tendler Head of Life Sciences Product Management, Domino

  AstraZeneca’s mission is to leverage R&D and AI insights to improve healthcare and positively impact the lives of millions of people.

  Since drug R&D is an increasingly data-driven process, making data analytics and scientific research FAIRR – Findable, Accessible, Interoperable, Reusable, and Reproducible – is critical to improving the value of data and research through greater reusability, standardization, and reproducibility.

  (click '+' at right for more)

  Innovating data science pipelines through collaboration

  Michael Harnish President, KSM Technology Partners

  Albert Park Senior Director, Bioinformatics Engineering, Moderna

  Discover the power of collaborating on Domino to integrate new open-source technologies and improve the efficiency of life science workflows.

  Moderna and KSM will share how their successful collaboration on Domino's open and extensible platform helped optimize pipeline development processes and computational resource utilization while lowering costs.

  (click '+' at right for more)

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• 3:00 – 3:30p

  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.
• 3:30 – 3:45p

  Wrap Up

  Thomas Been CMO, Domino Data Lab
• 3:45 – 6:00p

  Networking reception