Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
One of the three largest energy suppliers in Ireland, providing electricity and gas to approximately 750,000 customers equipped with a growing network of smart meters.
Basic usage visualizations and generic tips like 'switch to LED bulbs' fell short of customer expectations. Third-party solutions acted as black...
“Databricks allows us to deliver AI-powered insights at scale, delivering advice on how they can save energy while reducing the operational effort required to keep our services relevant into the future.”
Renewable electricity and natural gas provider for the Irish market.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
SSE Airtricity's Energy usage recommendations is part of this use case:
Related implementations across industries and use cases
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
One of the three largest energy suppliers in Ireland, providing electricity and gas to approximately 750,000 customers equipped with a growing network of smart meters.
Basic usage visualizations and generic tips like 'switch to LED bulbs' fell short of customer expectations. Third-party solutions acted as black...
“Databricks allows us to deliver AI-powered insights at scale, delivering advice on how they can save energy while reducing the operational effort required to keep our services relevant into the future.”
Renewable electricity and natural gas provider for the Irish market.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
SSE Airtricity's Energy usage recommendations is part of this use case:
Related implementations across industries and use cases
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.