Artificial intelligence may be moving quickly, but life sciences companies cannot afford to treat it as a race for the latest shiny tool. In this episode of Life Sciences DNA, Brinda Banerjee, CIO of Stemline Therapeutics, sits down with Srivatsan Nagaraja to discuss how an oncology-focused biopharma company can pursue AI with rigor, speed, and a clear connection to business and patient impact. Banerjee offers a practical framework for moving from enthusiasm to execution: start with the business problem, build trusted data and governance foundations, keep experts in the loop, and form agile, cross-functional teams that can test, learn, and scale what works.

Artificial intelligence is reshaping how biopharmaceutical companies discover, develop, commercialize, and support medicines. But realizing its potential requires far more than adopting the latest tools. Srivatsan Nagaraja speaks with Matt Lasmanis, chief digital officer at Jazz Pharmaceuticals, about building a digital, data, and AI strategy grounded in corporate ambition and measurable outcomes. Lasmanis offers a practical framework that begins with strategy, identifies the business outcomes that matter most, and establishes the metrics needed to demonstrate progress. He also discusses how companies can align people, technology, and partners to build enterprise capabilities that advance precision, efficiency, and innovation.

Artificial intelligence is creating new opportunities to improve clinical development, but successful adoption requires more than choosing the latest model or launching isolated pilots. Krishna Cheriath, vice president and head of digital and AI for biopharma services at Thermo Fisher Scientific, sits down with Srivatsan Nagaraja to discuss what it takes to translate AI’s promise into measurable business and patient impact, why companies should focus on a small number of strategic imperatives, and his practical approach for prioritizing high-value use cases.