Solution partner
Slalom powers 4 source-linked AI deployments documented in AIUseCaseHub, across 4 industries and 2 countries.
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Hyperscaler mix
Filter Slalom's implementations by cloud provider evidence.
Build / Buy / Compose across this partner's documented cases
4 of 4 cases classified (100%) · Compare all use-case types
Reported outcomes
1 case reports measurable results
−91.7%
Time & speed
median · 1 metric
Medians of results published in Slalom cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Ströer Content Group built an AI assistant for t-online.de that provides readers fast, secure access to advice content from more than 45,000 articles.The solution was developed with Slalom on Amazon Bedrock and integrates natural language, personalization, security, and feedback mechanisms.The assistant improves engagement and time on site while helping manage per-query costs and protecting editorial tone and trust.
The American Cancer Society partnered with Slalom to accelerate and improve the accuracy of breast cancer image analysis for epidemiologic research.Using Google Cloud Cloud ML Engine, Cloud Storage, and TensorFlow, an end-to-end machine learning pipeline was developed for imaging preprocessing, training, and clustering.ML accelerated image analysis by 12 times, improved consistency and objectivity by removing human limitations, and enabled better understanding of breast cancer tissue patterns for future research.
King County Assessor's Office in Washington faced high document processing delays and errors due to large volumes of diverse paper documents and manual processing constraints.They implemented an intelligent document processing (IDP) automation solution using AWS AI services including Amazon Textract, Amazon Comprehend, Amazon Augmented AI (A2I), AWS Lambda, S3, SQS, Step Functions, API Gateway, and Amazon Kendra to extract, classify, review, and search document data.The automated workflow reduced manual data entry errors, improved processing speed and scalability, enhanced transparency with human-in-the-loop reviews, and enabled staff to focus on higher-value work improving constituent services.
Customers including Amazon, Fender, Parkland, Cargill, Siemens, Bigmate, Accenture, and INDUS.AI use AWS Panorama edge computer vision for real-time monitoring and operational insights across various industries.The AWS Panorama Appliance connects to existing IP cameras to analyze video feeds locally with low latency, running multiple computer vision models for quality control, safety monitoring, retail analytics, and logistics optimization.Integration with Amazon SageMaker enables customers to develop custom or pre-built machine learning models to enhance visual inspection and operational automation at the edge.