How Ricoh built a scalable intelligent document processing solution on AWS

Favorite This post is cowritten by Jeremy Jacobson and Rado Fulek from Ricoh. This post demonstrates how enterprises can overcome document processing scaling limits by combining generative AI, serverless architecture, and standardized frameworks. Ricoh engineered a repeatable, reusable framework using the AWS GenAI Intelligent Document Processing (IDP) Accelerator. This framework

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Shared by AWS Machine Learning March 5, 2026

Embed Amazon Quick Suite chat agents in enterprise applications

Favorite Organizations can face two critical challenges with conversational AI. First, users need answers where they work—in their CRM, support console, or analytics portal—not in separate tools. Second, implementing a secure embedded chat in their applications can require weeks of development to build authentication, token validation, domain security, and global

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Shared by AWS Machine Learning March 5, 2026

How Tines enhances security analysis with Amazon Quick Suite

Favorite Organizations face challenges in quickly detecting and responding to user account security events, such as repeated login attempts from unusual locations. Although security data exists across multiple applications, manually correlating information and making corrective actions often delays effective response. With Amazon Quick Suite and Tines, you can automate the

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Shared by AWS Machine Learning March 4, 2026

How Lendi revamped the refinance journey for its customers using agentic AI in 16 weeks using Amazon Bedrock

Favorite This post was co-written with Davesh Maheshwari from Lendi Group and Samuel Casey from Mantel Group. Most Australians don’t know whether their home loan is still competitive. Rates shift, property values move, personal circumstances change—yet for the average homeowner, staying informed of these changes is difficult. It’s often their

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Shared by AWS Machine Learning March 4, 2026