AWS Partner Network (APN) Blog
Tag: HAQM Bedrock
AI-Driven DevOps: Quality and Compliance with Inflectra and HAQM Bedrock
In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.
Powering a Generative AI Platform Using HAQM DocumentDB with tresle.ai
Tresle.ai, using over 49 AWS services, delivers a complete generative AI platform that enables businesses to harness AI capabilities for personalized recommendations, content generation, and data insights. With advanced vector search technology at its core, the platform makes it effortless for companies to integrate AI into their applications and uncover meaningful relationships across diverse datasets.
Build Production-Ready Generative AI Applications with Orkes and HAQM Bedrock
In the rapidly evolving landscape of Generative AI (GenAI), Orkes Conductor emerges as a powerful orchestration platform that helps organizations manage complex workflows, integrate with AWS services, and implement essential safeguards for GenAI applications. The platform offers pre-built LLM tasks, robust error handling, and monitoring capabilities, enabling developers to create sophisticated AI workflows while providing enterprise features like RBAC, audit logs, and versioning for supported applications.
Transform Large Language Model Observability with Langfuse
Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with HAQM Bedrock and other popular AI frameworks.
Transform customer Experience with Adobe AEP, AWS, and Merkle’s BYOM Solution
Adobe Experience Platform, AWS, and Merkle’s Bring Your Own Model (BYOM) accelerator are transforming customer experience personalization at scale. This integration combines AEP’s data foundation, AWS’s enterprise AI capabilities, and Merkle’s ML model integration to deliver highly targeted customer experiences. The solution enables organizations to reduce implementation costs by 60% while leveraging custom ML models and generative AI for enhanced customer engagement
Elevating LLM Observability with HAQM Bedrock and Dynatrace
In this post, we explain how Dynatrace provides end-to-end monitoring and visibility into generative AI applications utilizing HAQM Bedrock models allowing for comprehensive LLM observability.
Building Next-Gen AI Education through GoML and HAQM Bedrock
GoML, an AWS Advanced Consulting Partner, collaborated with a leading Asian EdTech organization to revolutionize exam preparation through AI. Their HAQM Bedrock-powered solution helps students prepare for competitive exams like JEE Advanced, NEET, and Gaokao. The platform achieves 95% accuracy in solving complex questions while reducing student preparation time by 80%, delivering precise, step-by-step solutions that enhance learning outcomes.
Unlocking the power of Splunk with HAQM Bedrock – Build AI assistant using agents
Learn how to build a Generative AI assistant to simplify complex data analysis with Splunk, by converting conversational requests into optimized Splunk SPL queries for AWS security and operational logs. Built on HAQM Bedrock agents with integrated knowledge bases and action groups, this solution automatically executes queries and delivers actionable insights, democratizing access to powerful data analytics capabilities for security teams.
How Forcepoint Data Loss Prevention (DLP) safeguards your AWS Generative AI solutions
Over the past year, many customers have built generative AI proofs-of-concept and solutions. But now, as customers look to promote these proofs-of-concept into production and roll out these solutions across their organizations, they are increasingly becoming conscious of how their sensitive data is used and protected.
In this blog post we cover how Forcepoint Data Loss Prevention (DLP) provides a necessary layer of protection on top of guardrails and comprehensive security features provided by AWS services. This helps improve the security posture of customers implementing generative AI solutions.
How Infosys built AWS Generative AI based assistant for a healthcare payer company
Infosys developed a Generative AI Assistant using AWS services to help healthcare Customer Service Representatives (CSRs) handle customer inquiries more efficiently. The solution, which leverages HAQM Bedrock and HAQM Kendra, reduced query response times to 20 seconds, achieved 75%+ resolution rates, and cut CSR training time from 3 weeks to 1 week.