AWS Glue

AWS Glue is a serverless data integration service that discovers, prepares and integrates data at scale, connecting to more than 100 data sources with a centralized data catalog and built-in generative AI capabilities for ETL authoring and Spark troubleshooting.

Official product page

2published use cases

2industries

0countries on record

Agentic AI

top AI capability

Evidence mix: High 2 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

2 use cases

InsuranceGenerative AIMachine LearningPredictive Analytics

Building a central data, analytics, and AI solution using AWS with Generali

Insurance and asset management group Generali built a central data, analytics and AI solution on AWS to standardize AI adoption across its more than 40 operating entities, using Amazon Redshift for the central data warehouse, AWS Glue for data-quality and transformation pipelines, Amazon SageMaker AI to automate claim settlement and predictive payout modeling, and Amazon Bedrock to power a generative AI customer-assistance agent providing instant responses. The company developed 16 flagship AI use cases spanning pricing, underwriting, claims processing and operations, deployable across operating entities via a centralized Global AI engine, while complying with GDPR and internal governance policies.

GeneraliAmazon Bedrock · Amazon SageMaker AI · Amazon Redshift +1

Life SciencesDocument IntelligenceRetrieval-Augmented GenerationAgentic AI

Novartis: Accelerating Drug Development with AI-Powered Clinical Trial Transformation

Novartis partnered with AWS Professional Services and Accenture to modernize their drug development infrastructure and integrate AI across clinical trials, with the goal of reducing trial development cycles by at least six months. The initiative built a GXP-compliant data mesh platform on AWS with Databricks for processing, enabling AI use cases including protocol generation and an intelligent decision system (digital twin). Early results from the patient safety domain showed 72% query speed improvements, 60% storage cost reduction, and 160+ hours of manual work eliminated. The protocol generation use case achieved 83-87% acceleration in producing compliant protocols.

NovartisAmazon Web Services (AWS) · Databricks · Amazon S3 +8