Where Enterprise AI Quietly Gives Up, and What Finally Gets It Past the Wall There is a moment in almost every enterprise AI program that nobody puts on a slide. The demo works. Someone asks a question in plain English, the AI writes a flawless query, the right number comes back, and the room nods. […]
A preview of the Solix EAI Pharma white paper — “Signal Over Noise: A Framework for AI-Driven Drug Repurposing and Target Identification in Pharma R&D.” In January 2020, as SARS-CoV-2 spread and no specific treatment existed, a research team put a single question to an AI-enhanced biomedical knowledge graph: among the drugs already approved and […]
Why the lakehouse gets you most of the way to enterprise AI — and what closes the gap. A regional VP asks a simple question: what were my EMEA bookings last quarter by product line, against plan? Three days later, a data engineer hands back a CSV. The platform underneath that question is excellent. The […]
As organizations embrace enterprise AI, a fundamental question rumbles beneath the excitement: How do we govern enterprise AI and switch pilot projects into production? The answer depends less on AI’s unseen algorithms and far more on the data that supports them. Without a unified data foundation that is AI-ready, enterprise AI is not only difficult […]
I want to start with the most dangerous sentence in enterprise AI today. It is not “the model failed.” A failed model is easy. It throws an error, someone gets paged, the query gets fixed. The dangerous sentence is the one that comes back clean. Well formatted. Confident. Delivered in plain English to a VP […]
Every terminated drug program leaves behind a fingerprint of why it failed. AI can now read those fingerprints — and turn them into the blueprint for the next success Pharmaceutical R&D generates failure at an extraordinary rate — and buries it. >90% of discovery programs never reach an IND. ~70% of Phase II trials fail […]
