Amazon DynamoDB

Amazon DynamoDB is a serverless, fully managed, distributed NoSQL database with single-digit millisecond performance at any scale. It supports key-value and document data models, provides strong read consistency and ACID transactions, and offers global tables for multi-active replication across chosen AWS Regions. It is used for applications such as financial services, gaming and streaming.

Official product page

8published use cases

7industries

5countries on record

Generative AI

top AI capability

Evidence mix: High 8 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

8 use cases

AutomotiveGenerative AIConversational AI

BMW Group builds CLEAI, a generative AI assistant for cloud cost optimization on AWS

BMW Group's FinOps Center of Excellence, with AWS Professional Services, built CLEAI, a generative AI assistant inside its CLEA cloud cost tool. Users ask in natural language about cloud costs and metadata, get optimization recommendations drawn from AWS documentation and BMW's internal FinOps knowledge base (RAG with Amazon Bedrock Knowledge Bases), and get generated Terraform, CLI and Python code. The source states it supports more than five thousand users and speeds up analysis and implementation by up to 50%.

BMW Group· GermanyAmazon Bedrock · Amazon Bedrock Knowledge Bases · Amazon OpenSearch Serverless +4

InsurancePredictive Analytics

Eazy Asigurari Builds an ML-Driven Insurance Pricing Engine on Amazon SageMaker AI

Romanian cloud-native insurer Eazy Asigurari built a proof of concept for a data-driven pricing engine using Amazon SageMaker AI, AWS Glue, Amazon API Gateway, Amazon RDS for PostgreSQL and Amazon DynamoDB. The ML models backtest premiums and highlight potential deviations across thousands of customer segments, with the actuarial team reviewing all ML outputs before informing pricing decisions. The proof of concept was completed within 2 months and the insurer reduced data analysis time by up to 80 percent.

Eazy Asigurari· RomaniaAWS Glue · Amazon API Gateway · Amazon RDS for PostgreSQL +2

HealthcarePredictive AnalyticsDocument IntelligenceGenerative AI

Sanofi Drives Scientific Innovation with AI on AWS for Real-Life Patient Impact

Paris-based Sanofi's Digital Accelerator built eight AI-powered products on AWS in 18 months, including a marketing suite deployed across 18 countries, using Amazon SageMaker for ML development and condensing advanced analytics processes that took 6 months down to 1 month.

Sanofi· FranceAmazon SageMaker · Amazon SageMaker Studio · AWS Lambda +7

Consumer GoodsAgentic AIGenerative AI

Vxceed builds a near real-time multi-agent AI platform using Amazon Bedrock

Vxceed, a global SaaS provider of AI-powered sales and distribution solutions for consumer packaged goods (CPG) companies, built a multi-agent AI platform on Amazon Bedrock to interpret store-level signals in near real time across traditional trade retail outlets. Specialized agents interpret field signals, summarize patterns, generate narrative explanations, and recommend next steps, and also collaboratively produce short AI-generated video news bulletins (script, audio, and visuals each by a different agent) summarizing daily risks and opportunities. Built with Amazon DynamoDB, AWS AppSync WebSockets, AWS Lambda, and AWS Step Functions, the platform processes about US$250 million in daily transactions for major customers, expanded outlet coverage from 1.6 million to over 2 million stores in 18 months, and delivered 5-10% sales uplift and 15-25% improvement in promotion ROI through earlier issue detection.

VxceedAmazon Bedrock · Amazon DynamoDB · AWS AppSync +2

CybersecurityAgentic AIGenerative AI

CyberArk combines Apache Iceberg and Amazon Bedrock AI agents to cut support case resolution time up to 95%

CyberArk redesigned its technical support pipeline using AWS Fargate, PyIceberg and Amazon Bedrock (Claude 3.7 Sonnet) to auto-generate grok patterns for parsing diverse vendor log formats into Iceberg tables, and built autonomous AI agents that query Athena and CyberArk's knowledge base to perform root-cause analysis from natural-language questions. The system cut case resolution time by up to 95% (complex cases from up to 15 days to 2-4 hours), let engineers handle up to 4x more cases per day (from 2-3 to 8-12), and made logs queryable within minutes instead of hours or days.

CyberArkAmazon Bedrock · Apache Iceberg · AWS Fargate +5

PharmaceuticalsConversational AIGenerative AI

Novo Nordisk Scales to 2,500+ Generative AI Use Cases with Amazon Bedrock

Danish pharmaceutical company Novo Nordisk built a self-service generative AI platform on Amazon Bedrock that lets employees build and customize chatbots for nonregulated business processes. More than 25,000 employees have used the platform to create chatbots for over 2,500 use cases, cutting the time to build a chatbot from months to days, at an average cost of about $10 per use case per month.

Novo Nordisk A/S· DenmarkAmazon Bedrock · Amazon DynamoDB · AWS Lambda

Government & Public SectorGenerative AINatural Language Processing

Contra Costa County District Attorney's Office Makes Unbiased Charging Decisions with ScaleCapacity Generative AI Solution on AWS

The Contra Costa County District Attorney's Office worked with AWS Partner ScaleCapacity to build a Race-Blind Charging solution to comply with California's AB 2778 mandate. The solution uses Amazon Bedrock and Amazon Textract to automatically redact race, ethnicity and other identifying details from police reports and case documents before charging decisions are made, with Amazon S3, DynamoDB, Cognito and SES supporting document storage, metadata and user access. The office processes around 17,000 cases annually, achieved compliance in six months, and can test and deploy new redaction rule changes in under a week.

Contra Costa County District Attorney's Office· United StatesAmazon Bedrock · Amazon Textract · Amazon S3 +3

PharmaceuticalsGenerative AILarge Language ModelsAgentic AIConversational AI

Novo Nordisk Scales to 2,500+ Use Cases with Secure Generative AI Using Amazon Bedrock

Novo Nordisk built a self-service generative AI platform on AWS, using Amazon Bedrock's foundation models, so employees could build and customize chatbots for nonregulated business use cases without needing to develop applications or maintain infrastructure themselves. The company worked with AWS Partner Cloud2 Oy (previously KeyCore) to validate the architecture for security and scalability. More than 25,000 Novo Nordisk employees have used the platform to create chatbots for over 2,500 unique use cases, such as retrieving information, drafting documents, or acting as a virtual colleague or critic. The company's general-purpose chatbot is used by more than 1,000 employees and processes over 26,000 prompts a month; its largest use case was trained on 140,000 documents. Each use case costs around $10 per month to run on AWS, using serverless services including Amazon DynamoDB and AWS Lambda. Building a chatbot now takes days rather than months, and some tasks that took a full day can be completed in as little as 10 minutes.

Novo Nordisk· DenmarkAmazon Bedrock · AWS Lambda · Amazon DynamoDB