Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
The UK's leading roadside assistance provider serves 14 million members with a data landscape previously fragmented across multiple tools and external sources.
A small team of data specialists became a bottleneck, often taking days to manually resolve routine ad hoc queries about sales performance and...
“Our data specialists were overwhelmed with ad hoc requests. AI/BI Genie now enables colleagues across trading, product and acquisition to access data in seconds instead of hours or days, freeing specialists for deeper insights and predictive outputs.”
Roadside assistance, vehicle insurance, and motoring services provider.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
The AA's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
The UK's leading roadside assistance provider serves 14 million members with a data landscape previously fragmented across multiple tools and external sources.
A small team of data specialists became a bottleneck, often taking days to manually resolve routine ad hoc queries about sales performance and...
“Our data specialists were overwhelmed with ad hoc requests. AI/BI Genie now enables colleagues across trading, product and acquisition to access data in seconds instead of hours or days, freeing specialists for deeper insights and predictive outputs.”
Roadside assistance, vehicle insurance, and motoring services provider.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
The AA's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.