AWS

6 use cases using this technology

6published use cases

5industries

0countries on record

Predictive Analytics

top AI capability

Evidence mix: High 6 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

6 use cases

Smart CitiesComputer VisionPredictive Analytics

Latitudo 40 Uses AI and Satellite Data on AWS to Help Cities Plan for Climate Risk

Latitudo 40 uses AWS cloud computing to process vast quantities of satellite Earth Observation data and applies AI to help cities identify and understand risks such as floods, heat islands and environmental degradation. Naples has used the system to map urban heat islands, Helsinki has used the data to monitor greenery and plan green infrastructure, and urban planners in Milan identified critical infrastructure risks within 48 hours of looking at the data. The firm plans to build digital twins of urban environments and wants to integrate its satellite analytics with IoT sensors.

Latitudo 40AWS

Travel & HospitalityGenerative AI

Generative AI on AWS Helps TUI Better Support Millions of Customers

TUI, Europe's largest travel company, uses Amazon Bedrock and generative AI to increase internal efficiency and transform customer interactions for the 16 million travelers it serves a year.

TUIAmazon Bedrock · AWS

Technology & SoftwareGenerative AIPredictive AnalyticsFraud & Anomaly DetectionIntelligent Automation

Waylay Uses Amazon Bedrock to Drive Automation in Key Industries

Waylay, an enterprise automation specialist serving industrial IoT, telecommunications and fintech sectors, uses AWS generative AI capabilities for solutions ranging from predictive maintenance in industrial production to anti-money laundering services in fintech, and specifically uses Amazon Bedrock to deliver intent-based automation for telecoms enterprises.

WaylayAmazon Bedrock · AWS

EnergyComputer Vision

XOCEAN builds AI on AWS to automate seabed survey interpretation

XOCEAN, an ocean data company operating a fleet of uncrewed survey vessels, streams seabed survey data directly to AWS and is building AI, deployed on AWS infrastructure, to automate interpretation of seabed imagery such as identifying and measuring boulders that geophysicists currently review manually. The goal is real-time pass/fail assessments during surveys, which the company expects could cut project schedules by ten days to two weeks per site.

XOCEANAWS

Technology & SoftwareConversational AI

Observe.AI cuts machine learning costs over 50% with load-testing framework on AWS

Observe.AI, a conversation intelligence platform using a 30-billion-parameter contact center LLM to analyze customer interactions, developed and open-sourced the One Load Audit Framework (OLAF), integrated with Amazon SageMaker, to automatically identify bottlenecks and performance issues in its ML services and predict data load capacity. By fine-tuning SageMaker instance sizes with OLAF, Observe.AI cut ML deployment costs by over 50%, reduced infrastructure sizing time from one week to a few hours, and enabled on-demand scaling to support a 10x increase in data load.

Observe.AIAmazon SageMaker · Amazon SQS · Amazon SNS +1

Life SciencesPredictive Analytics

Biogen advances disease therapies through cloud-based AI on Databricks

Biogen migrated its on-premises genomics data infrastructure to Databricks for Genomics on AWS, using the UK Biobank's 500,000-participant dataset and machine learning models to identify genetic variants linked to human longevity and neurological disease, discovering two new drug targets for neurodegenerative diseases like Alzheimer's and Parkinson's.

BiogenDatabricks for Genomics · Delta Lake · AWS