In the past twelve months, world-class models have become available as infrastructure. AI is now within reach of almost any organization, which opens up use cases we could not have planned for a year ago and changes how we all work.
Hands-on experience with customer's data
Since last summer we have spent many hours with customers including Wolters Kluwer, the Dutch government, Dialog, Diversity Hero and others, applying this new technology to real, complex in-house data sets. Out of that work came a step-by-step approach for customers who want to build with AI.
Our step-by-step process
We define where AI can change their work, run an AI Readiness Assessment on the internal data, get that data in shape for the best models, and build the infrastructure their engineering teams need to get going. Learn more about our approach.
Use-cases & what's next
Nothing pleases our team more than seeing a customer's dataset turn into working AI: conversational applications that find the right answer in a huge document base in a blink, draft complete responses to support questions in 88% of cases, and pick up signals that help sales teams close more deals. Read more about our customer's use-cases.
This is just the start. There is a lot more to come.
