Thoughtworks at Bio-IT World

• Sachin Sontakke - Sr Director, IT Ent. Data & Analytics, Gilead 
  
• Sujay Sevagapandian - Assoc Director Platform Architecture, Gilead
• Stuart Pyle - Principle, Healthcare & Life Sciences, Thoughtworks

Enterprises now have unprecedented access to vast amounts of data across various systems. However, success isn't just about collecting data—it's about deriving meaning and simplifying use case creation to maximize value. In this session with Gilead, in collaboration with Thoughtworks, we'll explore the benefits of adopting Data as a Product & Data Mesh Principles. These principles formed the foundation for the design of "Gilead DnA," a scalable enterprise-wide data platform. This platform provides data engineers and researchers with a secure self-service environment for their data processing needs. We'll discuss the journey from legacy processes, data quality challenges, and fragmented data governance to achieving objectives and unlocking value in the future state.

• Jeremy Forman, VP of R&D AI, Data, & Analytics, Pfizer 
• Nimisha Asthagiri, Technical Principal, Data & AI, Thoughtworks

We dive into our journey of developing a holistic Gen AI strategy and building an internal cutting-edge product for oncology research. We identified value-based use cases across Seagen's molecule-to-market value chain, recognized potential risks, and established an operating governance model.

We'll explore how Gen AI serves as a leverage point in a company's transformation, with the potential to foster a culture of experimentation, proof of concepts (POCs), and ingraining core agile principles. We will also highlight the significance of leveraging a robust data and AI platform, which serves FAIR data, in our case built on Data Mesh principles.