Only 1% of data had metadata, forcing manual searches. Gen AI tagged 87,000 fields, saving 10,000 hours of engineering work.
A major Nordic telecommunications provider and regional internet backbone manages a vast data warehouse supporting operations, sales, and customer service.
Only 1% of the data warehouse contained metadata, forcing employees to sift through thousands of undefined fields to find critical information like...
Mobile and broadband connectivity provider in the Nordic and Baltic regions.
Provided Amazon Bedrock as the generative AI platform to automate metadata tagging and descriptions.
Related implementations across industries and use cases
Technicians sifted through 20-page tickets. GenAI now summarizes history and recommends resolutions with a single click.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Manual sales audits cost $26/hour. AI speech analysis cut costs to $2, saving 35,000 annual work hours.
Sales reps spent 50% of prep time hunting for internal knowledge. Now, AI automatically extracts and summarizes relevant slides.
Technical queries forced sales teams into follow-up meetings. AI now provides answers live, cutting onboarding time by 50%.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Fragmented tools held back GenAI. Unifying on one platform let teams build contract and insight prototypes in under 48 hours.