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 […]
The conversations I’m having in 2026 don’t sound like the ones I had in 2024. Back then, every Fortune 2000 customer I sat with wanted to talk about what AI could do. The room was leaning in. Budgets were being pulled forward. Pilots were being kicked off across functions before anyone had really stress-tested whether […]
Artificial intelligence is no longer a pilot project, it is mission-critical infrastructure. But with every model inference, agent workflow, and automated decision comes an avalanche of logs that traditional data platforms were never designed to handle. Solix Enterprise AI Data Archival Solution was built for exactly this moment: to help enterprises store, govern, and leverage […]
