Executive Summary
Inspire Clean Energy, a US retail energy company specializing in renewable wind, solar, and hydro power, sought assistance from New Math Data (NMD) to enhance their development process and scale their workloads. NMD recommended, designed, and implemented a Spark processing platform using Databricks, integrated with Inspire’s existing resources and AWS accounts. The platform was securely integrated with Inspire’s SSO system, providing streamlined access for their data scientists and engineers. Additionally, NMD improved Inspire’s ML Ops capability, ensuring reliability, reproducibility, and portability of ML models across their dev, staging, and prod environments. The deployment of Spark infrastructure resulted in significant dataset scalability and over 50% reduction in model training time.
Inspire Clean Energy, a US retail energy company specializing in renewable wind, solar, and hydro power, sought assistance from New Math Data (NMD) to enhance their development process and scale their workloads. NMD recommended, designed, and implemented a Spark processing platform using Databricks, integrated with Inspire’s existing resources and AWS accounts. The platform was securely integrated with Inspire’s SSO system, providing streamlined access for their data scientists and engineers. Additionally, NMD improved Inspire’s ML Ops capability, ensuring reliability, reproducibility, and portability of ML models across their dev, staging, and prod environments. The deployment of Spark infrastructure resulted in significant dataset scalability and over 50% reduction in model training time.
Customer Description
Inspire Clean Energy is a US retail energy company, specializing in renewable wind, solar and hydro power for its clients, while providing a predictable pricing model.
