Webinar | Why 95% of AI Projects Stall – and How Agentic AI Changes the Game
Our perspective on AL/ML in the life sciences industry.
If your company is experimenting with AI, here’s a statistic worth pausing on. Recent MIT research says “95% of AI initiatives fail to show real
The pharmaceutical industry has cracked some of its toughest challenges, from shortening trial timelines to improving patient recruitment and building sophisticated data platforms. Yet one
AI’s potential in life sciences isn’t limited by technology- it’s limited by how we communicate with it. The most powerful AI tools can fall short
Clinical trials are under tremendous pressure. Over the past decade, protocols have become more complex, regulatory requirements have tightened, and the cost of bringing a
Traditional data quality checks have served clinical research well for decades, catching obvious issues like missing fields and chronological errors. But as studies grow more
When racing to develop a COVID-19 vaccine, a top 20 pharmaceutical company partnered with Saama to tackle one of the most critical milestones in clinical
ADaM package generation has long been one of the most persistent bottlenecks in clinical development, often consuming over two months across specification creation, programming, and
Across the life sciences industry, conversations around AI validation tend to follow a familiar path. A team introduces an AI system that demonstrates 95% accuracy.
Clinical development has never been more advanced. We can stream biomarker data in real-time, interpret complex protocols using generative Artificial Intelligence (AI), and transform clinical
