Cutting-edge technologies have long played a key role in developing and delivering safe, reliable drugs to market, and yet the adoption of advanced analytics tools such as AI & ML, has been relatively slow in pharma compared to other sectors. For AI to make a true and scalable impact enabling patient centricity and desired business outcomes across drug discovery through commercial applications, outdated innovation models and data strategies must be redefined. This dedicated event brings together pharmaceutical executives to help further drive innovation across data and technology and navigate the implementation of ML & AI and to delve into the subsequent business outcomes. Combining strategic discussions on redefining your AI strategy, the value of AI, ethics and trust, risk mitigation, data quality and implementation success stories, this forum facilitates discussions and partnerships to continue the current AI momentum.
Defining/Redefining Your Strategy in the Post Pandemic Era
The Value and Impact of AI
Organizational Change Management Considerations
Policy, Standards, and Regulatory Frameworks
Ethics and Trust
Risk Mitigation and Building Resilience with AI
Emerging AI trends and the Evolving Investment Landscape
AI in Pharma Adoption Lessons Learned
Comparing a Build vs. Buy Strategy
Use Cases for AI to Drive Business and Patient Outcomes
Data Skillsets and Hiring Best Practices
Overcoming Data Bias and Establishing Data Equity
Use of AI in Personalized Medicine and Digital Health Partnering and Collaboration Best Practices
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