We are confident of our ability to deliver business insights using our custom machine learning products. We will work with your in-house domain experts to build a custom machine learning model.
We are confident of our ability to deliver business insights using our custom machine learning products, so we offer a free Proof of Concept stage. In this 2 week period, we will work with your in-house domain experts to build a custom machine learning model, generally developed using one of our pre-built solutions as a base.
This model will generate insights and predictions based on a subset of your data, providing you a no-obligation assessment of the business utility of implementing our solution.
You will receive weekly updates on progress, as well as interim reports of predictive performance.
At the conclusion of this phase, we will present a no-obligation proof of concept based on our ML models and hosted on Azure leveraging ML Studio, as well as a detailed report on model performance. Using these key metrics, we will also develop a roadmap for the implementation phase of this project.
AGENDA: Introduction • Understanding your data sources and constraints • Discussion of desired outcome
Project Definition • Defining the scope of work
Model Design • We will develop a custom ML model hosted on Azure
Final presentation • Presentation of a no-obligation proof of concept based on our ML models hosted on Azure • High-level overview of how this solution could be productionised by leveraging Azure ML Studio • Roadmap and recommendations for the Implementation phase
Validating data suitability for the selected AI/ML use case Use case validation using a DBAI AI/ML accelerator on your data Report on model performance Roadmap and recommendations for the Implementation phase