Rigid data views held teams back. Now, HR and sales query agents to spot labor patterns and draft proposals, cutting time to market by 50%.
One of the world’s largest IT service providers generates $30 billion in annual revenue while serving clients in over 50 countries across complex industries like healthcare and manufacturing.
Legacy dashboards offered only rigid, static views that prevented teams from mining deep enterprise data efficiently. Functions like HR and sales...
“Microsoft Fabric data agents form the conversational layer. Using Fabric and Azure AI Agent Service, we've built agents that allow us to talk to our data, ask personalized questions, and uncover insights based on role or function.”
Global IT services and consulting provider for digital transformation and cloud.
Enterprise software, cloud infrastructure, and consumer electronics platform.
NTT DATA's Enterprise data analysis is part of this use case:
Related implementations across industries and use cases
Location settings limited research to local hits. Copilot now surfaces global insights, helping marketers drive an 8x boost in web engagement.
Bespoke builds slowed AI scaling. A standardized framework now automates 65% of IT tickets and 100% of select order workflows.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Analysts spent weeks manually reviewing massive government datasets. Now, AI instantly surfaces high-priority insights.
Staff struggled to spot correlations across thousands of data points. Now, a multi-agent system answers voice queries in under 3 seconds.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Rigid data views held teams back. Now, HR and sales query agents to spot labor patterns and draft proposals, cutting time to market by 50%.
One of the world’s largest IT service providers generates $30 billion in annual revenue while serving clients in over 50 countries across complex industries like healthcare and manufacturing.
Legacy dashboards offered only rigid, static views that prevented teams from mining deep enterprise data efficiently. Functions like HR and sales...
“Microsoft Fabric data agents form the conversational layer. Using Fabric and Azure AI Agent Service, we've built agents that allow us to talk to our data, ask personalized questions, and uncover insights based on role or function.”
Global IT services and consulting provider for digital transformation and cloud.
Enterprise software, cloud infrastructure, and consumer electronics platform.
NTT DATA's Enterprise data analysis is part of this use case:
Related implementations across industries and use cases
Location settings limited research to local hits. Copilot now surfaces global insights, helping marketers drive an 8x boost in web engagement.
Bespoke builds slowed AI scaling. A standardized framework now automates 65% of IT tickets and 100% of select order workflows.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Analysts spent weeks manually reviewing massive government datasets. Now, AI instantly surfaces high-priority insights.
Staff struggled to spot correlations across thousands of data points. Now, a multi-agent system answers voice queries in under 3 seconds.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.