STRATEGIZING GEN AI: A CASE STUDY IN ADVANCING BUSINESS AND MINDSETS
Jeremy Forman, VP, R&D, AI, Data, Analytics, Pfizer
Nimisha Asthagiri, AI & Analytics Leader, Thoughtworks
We’ll dive into our experience of developing a comprehensive, multi-dimensional Gen AI strategy across Seagen’s molecule-to-market value chain. This ultimately led to the creation of an advanced internal product for R&D, fostering other bounded innovations. With an adoption-first mindset, we identified ROI value-based use cases, mitigated identified risks, established an operating governance model, and ingrained iterative agile principles.
We’ll provide practical frameworks and techniques that proved to be successful in our journey. We’ll also explore challenges we faced, such as overcoming human biases and finding the right balance between meeting users where they are and advancing them forward.
Finally, we’ll also highlight the importance of a robust data and AI platform that serves FAIR data and is rooted in ‘Data as a Product’ principles. We hope our insights will prove valuable to others leading their own data and AI transformations.
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