Data Revolution in Life Sciences

In the realm of life sciences, data plays a critical role in fueling the AI revolution. While much of the valuable data is not readily available on the web and is typically stored within biotech or pharma companies, there is a shift towards intentionally generating data for AI purposes from the outset. Startups are focusing on creating strong data foundations, often leveraging robotics and automation, to build superior AI models. The key insight lies in the fact that success in AI for life sciences hinges on having excellent data quality and a deep understanding of biology, rather than solely relying on existing data which may not provide a significant competitive advantage.