Overview
"Using sensors to detect anomalies isn’t a new concept, but the real value lies in leveraging historical data and contextual awareness across your datasets. This allows manufacturers to uncover deeper insights and unlock a broader understanding of patterns and trends. The Slalom GenAI-Enhanced Anomaly Detection Accelerator identifies potential issues or patterns in equipment performance before they escalate, preventing costly downtime and leveraging historical knowledge to ensure timely maintenance. When the accelerator detects an issue, it does more than just alert personnel, employees are shown potential reasons for the anomaly, alongside recommended steps for remediation to optimize troubleshooting. Foresight is 20/20 based on data from previous anomalies, including prior resolutions, costs, and shutdown estimates. The knowledge is there, this accelerator makes sure it’s put to use!
Pricing: Please Contact Seller for details
Resources: Dedicated web page: https://go.slalom.com/Slalom_AWS_Intel_AIAccelerators_2025 Ebook: https://go.slalom.com/AWS_Intel_Slalom_AI_Accelerators_eBook Video Demo: https://slalom.wistia.com/medias/9onzg05xno
Amazon Sagemaker, S3, Cloudfront, Cognito, Aurora Postgres with pg_vector, AWS IOT Core, Kinesis, API Gateway This accelerator uses AWS GenAI to surface root causes and recommend remediation steps, informed by past resolutions, downtime costs, and failure trends—allowing customers to make faster, smarter decisions. it enhances operational efficiency and resilience in the cloud. This Accelerator increases AWS cloud usage through introduction of new AWS Services.
Highlights
- Improve health and safety for employees by preventing machine failures or malfunctions
- Provide recommended remediation steps for detected anomalies
- Optimize maintenance schedules by aligning with historical and contextual knowledge of machine requirements
Details
Unlock automation with AI agent solutions

Pricing
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Support: Please contact Kevin.derman@slalom.com