Defining AI Strategies to Advance Patient Centricity & Business Outcomes
With times of crises often spurring innovation, the fight against COVID-19 accelerated the adoption of ML & AI-powered technologies in the race to discover and bring to market vaccines. For pharmaceutical organizations to build on this recent AI momentum, outdated innovation strategies and data models must be redefined. Now is the time for the industry to come together to share learnings and collaborate to achieve scalable AI for maximum gains. Uniting innovation, data, digital and IT leaders from across the entire pharmaceutical product pipeline, the use-case led program at DECODE: AI for Pharmaceuticals goes beyond the hype of AI to identify where the true value lies and what business outcomes are within reach, how to structure your data, and how to navigate your technology implementation and change management journey.
From the Organizers of Renowned Industry Events Spanning Tech & Life Science
Andrea De Souza
Senior Director, Eli Lilly & Company
Emma Huang, PhD
Director of Data Sciences External Innovation, California Innovation Center, J&J
Falsal Khan, PhD
Executive Director, Advanced Analytics and AI, AstraZeneca
Director, Digital Health and R&D, Bayer
Head of Product Management, R&D IT, Takeda
Scientific Director, Bristol Myers Squibb
Reza Olfati-Saber, PhD
Global Head AI & Deep Analytics, Digital & Data Science R&D, Sanofi
Solutions Director, Data Science & Artificial Intelligence, DSAI Innovation Execution, Novartis Pharmaceuticals
Amelia Averitt, MPH, MA, PhD
Manager, Clinical Informatics, Regeneron Pharmaceuticals, Inc.
Head of AI, R&D Information Research, Research Fellow, AbbVie
Gregory V. Goldmacher, MD, PhD, MBA
Head of Clinical Imaging, Merck & Co.
Senior Director, Statistical and Quantitative Sciences, Takeda
Join Us to Hear:
Identify & Achieve AI Goals & Outcomes
AI for True Patient Centricity
Dissecting the Hype of AI
Short vs Long Term AI Planning
Organizational Change Management
Hiring Talent & Fostering Skills
Emerging AI Technologies to Be Aware
2021 Regulation, Data & Political Considerations
How to Become a Data-Driven Organization
Redefining your Data Strategy & Innovation Model
Overcoming Siloed Data & Integration Issues
Data Monetization & Commercialization Of AI
External Collaboration & Partnerships
Ethical AI Considerations
Tackling Data Biases of Biomedical Data
Become a Sponsor
Whether you’re looking to engage with the entire conference community or select group from Pharmaceutical, Clinical, Healthcare or IT & Technology Professionals, we offer a variety of methods to enable you to engage with attendees and position your business as a trusted partner and thought leader. Explore our sponsorship packages which offer a wide range of benefits to promote your services or solution, gain brand exposure, collect feedback, engage prospective and existing clients or partners and/or generate new leads.
Join the growing list of DECODE: AI for Pharmaceuticals 2021 Attendees!