AI-Powered FinTech: AR Forecasting with Databricks & MLFlow

While many companies are already experimenting with AI or ML, not all have been able to capitalize on their potential fully. This is where our Accounts Receivable Forecasting solution comes in. Our solution utilizes CICD pipelines to automate the deployment of Azure cloud infrastructure, ELT and ML notebooks, and an ML monitoring dashboard. With this solution, companies without any prior cloud infrastructure experience can fully productionize their AR forecasting model in just a matter of days. In this session, we will:

• Introduce AR forecasting (and why it is relevant for every company)
• Introduce the broader concepts of Terraform, CICD, and MLflow (in Databricks)

Explain how we used:

• Terraform to set up the Infrastructure in the Azure Cloud
• CICD pipelines to orchestrate the deployment of the infrastructure as well as the ML code
• MLflow to support automated deployment and scheduling of the ML notebooks
• A dashboard to monitor the ML models