Category: Generative AI

AWS Generative AI Innovation Center (GenAIIC) launches the Partner Agent Factory (PAF), a pioneering co-innovation program designed to accelerate the development of enterprise-grade, production-ready AI Agents and Tools with our Partner Innovation Alliance (PIA) partners. PAF provides immersive expert guidance and support, empowering PIA partners to build end-to-end AI solutions that meet dynamic business requirements. Customers benefit from the combined expertise of GenAIIC’s proven methodologies and PIA partners’ industry knowledge, available through AI Agents and Tools on AWS Marketplace.

The rapid adoption of generative AI tools by employees is revolutionizing workflow efficiency and productivity across industries. The workforce usage of public AI models requires unique security considerations that traditional approaches struggle to address. This post delves into how SurePath AI empowers organizations to navigate these challenges, implementing robust security frameworks for Gen AI adoption. We will see how SurePath AI enables safe innovation while helping protect sensitive data, and maintaining regulatory compliance.

Over the past few years, no-code and low-code platforms have revolutionized software development. As AI assistance becomes commonplace, organizations seek tools that bridge the gap between vision and execution. Zendesk App Builder, powered by Amazon Bedrock and built on AWS, offers a solution that allows customers to create custom apps that extend Zendesk’s capabilities to meet unique customer service needs.

Salesforce and AWS are accelerating agentic AI transformation by pioneering solutions that make advanced AI accessible, secure, and outcome-oriented through unified data access, interoperable AI agents, modernized contact centers, and streamlined procurement via AWS Marketplace. This decade-long collaboration empowers enterprises to confidently adopt agentic systems with the same trust they had moving to the cloud, delivering personalized, AI-powered experiences at scale.

AWS Generative AI Innovation Center launches Partner Innovation Alliance (PIA) ISV Pods, pairing ISVs with PIA partners to accelerate enterprise-grade generative AI solutions. This strategic program addresses growing demand for industry-specific and horizontal AI capabilities, focusing on agentic AI development. With structured enablement, expert guidance, and go-to-market support, ISV Pods are set to pioneer the next wave of AI innovation, transforming businesses across industries.

Harbor Pilot is an agentic AI system built on AWS in close collaboration with AWS OneTeam, designed to automate identity management tasks using natural language input. Within 30 days of release, over 50% of customers adopted the solution, which helps reduce manual workflow creation from hours to minutes while integrating with SailPoint’s Identity Security Cloud.

This blog post explores how combining Couchbase vector search capabilities with Amazon Bedrock’s foundation models creates a powerful, Serverless Retrieval Augmented Generation (RAG) solution that enables organizations to enhance AI interactions with their specialized knowledge while reducing operational overhead. The Serverless architecture, which integrates Couchbase Capella, Amazon Bedrock, AWS Lambda, and Amazon API Gateway, allows organizations to build intelligent applications that deliver contextually relevant responses while maintaining cost efficiency through automatic scaling and pay-per-use pricing.

Digital marketing teams face mounting pressure to deliver content faster while managing operational tasks, limiting their ability to innovate customer experiences. Gradial, an AWS partner, offers a solution by automating the content supply chain, enabling marketers to prioritize strategy and quality. Gradial’s platform leverages generative AI powered by Amazon Nova foundation models to revolutionize content operations for the future.

This blog highlights the approach Trellix took to accelerate the development and testing of product integrations and automated rules development. Using agentic AI methodology, Trellix is able to save over 40 hours of development time per integration resulting in a 90% reduction time to market. Trellix used Amazon Bedrock, LangChain, and Anthropic Claude in this effort.

Legacy COBOL applications can be modernized and expanded with AI and ML using Amazon EKS. By containerizing COBOL applications and running them on EKS, organizations can preserve their existing critical systems logic while adding advanced cloud capabilities like flexibility, scalability, and efficiency—without starting from scratch.