Building an Intelligent, Configurable Data Classification Platform
The world is a messy place - sensors and inputs are noisy, people make mistakes, descriptions can differ wildly and still mean the same thing. For teams building on top of AI, the challenge isn't getting a model to produce an answer - it’s knowing what do with it, and how much to trust it. Model outputs are rarely definitive - they're signals.
Building an Enterprise AI Knowledge Assistant
For most enterprise use cases, you don't need to train a model. You need a model that knows about your company. And if you're already running Microsoft 365, you're a lot closer than you think.
Case Study: Building a Configurable Patient Triage Platform
What if the power to adapt triage rules lived closer to the medical experts, clinical researchers, and administrators without needing full software development cycles?