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.”
SSE Airtricity's Energy usage recommendations is part of this use case:
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.
Related implementations across industries and use cases
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Rigid chatbots couldn't process nuanced queries. Now, a compliant AI assistant navigates backend systems to resolve account tasks 24/7.
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.
Manual search grids lengthened the path to purchase. Now, AI models power virtual styling and smart recommendations to guide shoppers.
Staff struggled to evaluate raw ideas. Now, an AI assistant guides them to assess feasibility and draft actionable proposals.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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.”
SSE Airtricity's Energy usage recommendations is part of this use case:
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.
Related implementations across industries and use cases
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
Rigid chatbots couldn't process nuanced queries. Now, a compliant AI assistant navigates backend systems to resolve account tasks 24/7.
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.
Manual search grids lengthened the path to purchase. Now, AI models power virtual styling and smart recommendations to guide shoppers.
Staff struggled to evaluate raw ideas. Now, an AI assistant guides them to assess feasibility and draft actionable proposals.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.