When a data platform team relies heavily on Databricks SQL Warehouses, cost spikes and performance regressions are somewhat of a given. But understanding why they happen and what to fix remains one of the hardest problems. Our client, a data-driven organization with growing Databricks usage, had strong observability tools in place. However, when costs increased […]

Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.

Real-time retail insights achieved through computer vision on edge devices, enabling person and face detection, demographic profiling, and pose estimation.