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
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
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.
Engineers spent weeks manually mapping well sites. Now, geospatial AI evaluates millions of permutations to maximize leasehold coverage.
Lengthy manual reviews bottlenecked negotiations. Now, AI flags contract deviations and extracts historical data to accelerate deals.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
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.
Engineers spent weeks manually mapping well sites. Now, geospatial AI evaluates millions of permutations to maximize leasehold coverage.
Lengthy manual reviews bottlenecked negotiations. Now, AI flags contract deviations and extracts historical data to accelerate deals.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.