Why your employees stopped waiting for a governed answer, and what closes the gap for good. Ask any CIO what keeps them up at night in 2026 and you will hear some version of the same sentence: employees are putting company data into AI tools nobody approved. The instinct is to treat this as a […]
Why Architecture — and Anatomy — Beat a Pile of Point Solutions in Pharma AI Every pharma R&D organization now owns more AI tools than it did three years ago — and, by most internal accounts, less clarity about what any of them are learning together. That paradox is the subject of a two-part series […]
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 […]
