
In pre-commercial life sciences environments, marketing technology (MarTech) platforms are often implemented well before launch. Teams select, configure, and integrate systems quickly, expecting campaigns to perform flawlessly.

AI is increasingly embedded in how R&D teams analyze data, evaluate hypotheses, and decide what to prioritize next. Many initiatives start with a focused question and a contained dataset.
Artificial intelligence continues to gain momentum across the life sciences industry. Organizations are exploring AI to accelerate clinical development, improve quality and compliance processes, optimize manufacturing and supply chains, and enhance commercial effectiveness.
Sandy Tammisetty, VP of Veeva Services Practice Group at Conexus Solutions, spoke with Pharmaceutical Executive about where AI implementation is working for the pharma industry, and where it doesn’t appear to be a good fit. According to her, research shows that the technology provides the best results when used in a decision-support role.