Category: Generative AI

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.

While cloud adoption accelerates, many industries still rely on legacy systems for critical workloads. This blog explores how Solace’s PubSub+ facilitates cloud migrations using the Strangler Fig pattern and a data-first approach. PubSub+ enables seamless, real-time data movement across hybrid environments, helping enterprises modernize without disrupting business continuity. Learn how this IDC-recognized event-driven solution addresses key migration challenges.

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

This blog post shows how Infor uses generative AI services on Amazon Web Services (AWS) to help customers speed up productivity and solve industry-specific challenges

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.

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

AWS and Intel are collaborating to make Large Language Models (LLMs) more accessible and cost-effective for enterprises by running Small Language Models (SLMs) directly on CPUs. By offering distilled versions of models like DeepSeek-R1, they enable efficient, cost-effective deployments that maintain high performance while running on standard hardware.

Customer expectations are rising, and delivering seamless, AI-enhanced support is now essential. Discover how the Accenture AWS Business Group (AABG) is transforming contact center operations with their Connected Customer Experience (CCE) offering on AWS. Learn how generative AI-driven capabilities empower agents and enhance customer interactions, driving efficiency and modernization for businesses.

Discover how Tech Mahindra’s AftEAZE, powered by AWS and generative AI, is revolutionizing the automotive aftermarket. From predictive maintenance to personalized services, this innovative solution creates win-win scenarios for both consumers and businesses, streamlining operations and unlocking new value in a multi-billion dollar industry.