Build a data model you can trust
In our previous webinar, we focused on what Onboarder can do. In this webinar, we take the next step and show how to apply it in practice within your organisation.
For many companies, challenges only emerge when the model meets reality. What works in theory or with clean test data does not hold when the data is incomplete, inconsistent or messy. This webinar focuses on how to design a data model that both you and your suppliers understand and how to test it using realistic data, including incomplete and messy inputs, without relying on assumptions.
We go deep into the operational work during an implementation and show how to create a test dataset and structure your data model and prompts to ensure consistent results. We also demonstrate how to use the tool’s support features to review, compare and validate AI outputs until you have a model you can trust.
We focus on how to steer AI using prompts, different models and how to evaluate the results.
Speakers in this webinar
In this webinar, you will gain insights from our speaker Glenn Svanberg, AI Developer and Innovation Advocate at Fiwe. Glenn has extensive experience working with AI, data models and implementations and shares insights from real projects where Onboarder has transformed the onboarding of product data.
Register for this webinar
On April 15 at 12:00–12:30, we show how to build a data model you can trust, from test data to stable AI extraction in practice. Register for the webinar today.
What you'll learn:
Speakers:
