This post shows how TP ICAP used Amazon Bedrock Knowledge Bases and Amazon Bedrock Evaluations to build ClientIQ, an enterprise-grade solution with enhanced security features for extracting CRM insights using AI, delivering immediate business value.

AWS Machine Learning

18.10.2025

Beyond vibes: How to properly select the right LLM for the right task | Artificial Intelligence

In this post, we discuss an approach that can guide you to build comprehensive and empirically driven evaluations that can help you make better decisions when selecting the right model for your task.

AWS Machine Learning

18.10.2025

Splash Music transforms music generation using AWS Trainium and Amazon SageMaker HyperPod | Artificial Intelligence

In this post, we show how Splash Music is setting a new standard for AI-powered music creation by using its advanced HummingLM model with AWS Trainium on Amazon SageMaker HyperPod. As a selected startup in the 2024 AWS Generative AI Accelerator, Splash Music collaborated closely with AWS Startups and the AWS Generative AI Innovation Center (GenAIIC) to fast-track innovation and accelerate their music generation FM development lifecycle.

AWS Machine Learning

18.10.2025

Configure seamless single sign-on with SQL analytics in Amazon SageMaker Unified Studio | AWS Big Data Blog

This post demonstrates how to configure SageMaker Unified Studio with SSO, set up projects and user onboarding, and access data securely using integrated analytics tools.

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How TP ICAP transformed CRM data into real-time insights with Amazon Bedrock | Artificial Intelligence

Beyond vibes: How to properly select the right LLM for the right task | Artificial Intelligence

Splash Music transforms music generation using AWS Trainium and Amazon SageMaker HyperPod | Artificial Intelligence

Configure seamless single sign-on with SQL analytics in Amazon SageMaker Unified Studio | AWS Big Data Blog

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