What if green energy from your rooftop could actually power someone else’s home – instead of just vanishing into the grid? That’s exactly what the CTO team is working on: helping a major utility rethink how household solar power is stored, shared, and used.
Right now, a lot of the solar energy produced by households goes to waste. There’s no efficient way to store it or redirect it when and where it’s most needed. Instead of making the system greener, this creates stress on the network – and leaves potential untapped.
Since 2024, the CTO Solutions team has been working with a key utility provider to turn this around. Together, they’re designing a new enterprise analytics platform based on IBM Cloud Pak for Data, watsonx.data, and watsonx.ai. The solution acts as a Data LakeHouse, pulling together everything from sensor data to structured records in real time – and making it usable for AI and machine learning right away.
They’ve already migrated critical workloads to modernized Db2 Warehouse clusters, implemented near real-time ETL pipelines with DataStage, and introduced enterprise-grade data governance and cataloging features. The new platform also runs on a hybrid architecture that securely bridges on-prem and cloud environments – making it scalable and future-ready.
This transformation has brought together experts across multiple domains, and has been led by Senior Project Manager Márton Takács and Senior Data Architect András Pakó. Once live, the system will help store and distribute solar power more intelligently – turning it from a passive resource into a flexible energy asset that can actually be used where it matters.