Tag: Intermediate (200)

MoneySuperMarket found that searching for the right credit card is often overwhelming for customers. In partnership with Firemind and AWS, they built Money Concierge, an AI-powered assistant that provides personalized suggestions in natural language, in only 6 months. The solution has helped over 55,000 customers in their credit card journey achieving 93% positive feedback.

This post introduces SnapSoft’s AI gateway solution, which creates a fault-tolerant architecture by intelligently routing requests across multiple providers, AWS accounts, and Regions to ensure continuous operation even during peak demand. Learn how GDE-MIT, an EdTech platform serving thousands of students, migrated from a single-endpoint architecture to achieve high availability, substantial cost savings, and production-scale performance using this multi-provider approach.

Learn about Locobuzz, an AWS Advanced Technology Partner’s cloud-native architecture that integrates AWS services to process 1.2 billion customer interactions annually across 400+ global enterprises. The post details innovations like ResponseGenie™, AgentIQ™, ContextualPulse™, and CMOVerse™ that enable emotionally intelligent, multilingual customer engagement at scale.

Sembix Studio is a no-code, AI-powered solution that helps public sector organizations modernize legacy applications faster and more affordably than traditional approaches. Built on Amazon Bedrock, it uses generative AI and automated workflows to intelligently analyze existing systems and rewrite them into modern cloud applications. Education Service Center Region 13 in Texas showcased the power of this approach by developing Pulse, an AI-powered teacher assistant, in just six weeks.

Discover how AWS and Ona enable enterprises to build and scale GenAI development environments with complete security and compliance. This blog explores the powerful integration of Amazon Bedrock and Ona’s secure workspace platform, showing how organisations can accelerate AI-native development from initial experimentation to production-ready systems while maintaining HIPAA, SOC2, and FedRAMP compliance. Learn how leading enterprises are achieving 10x engineering output without expanding their security surface or risking vendor lock-in.

Discover how Bitrise leverages Amazon EC2 Mac instances to streamline and accelerate iOS build automation. This post explores how developers can run scalable, secure CI/CD pipelines in the cloud to reduce build times and improve delivery efficiency for mobile apps.

Discover how AWS and BeyondTrust deliver comprehensive identity security solutions that enable organizations to implement zero trust principles, manage privileged access, and accelerate secure cloud adoption. Learn about six essential identity security controls including just-in-time access, enhanced remote access features, and automated secrets management that help organizations reduce identity-based risks while maintaining operational efficiency across cloud, hybrid, and on-premises environments.

Learn how to enhance your AWS security within your organization through Infrastructure as Code using ControlMonkey together with AWS Control Tower. This post illustrates the usage of both tools to comply with the PCI DSS standard. We’ll first look at how AWS Control Tower provides a foundation for secure, compliant infrastructure. Afterwards, we’ll explore how ControlMonkey enhances this foundation by allowing teams to enable control policies that are directly added to the IaC review GitOps process.

ASAPP, an AWS Advanced Partner, provides AI-powered solutions for customer service. Founded in 2014, ASAPP helps transform contact centers by automating tasks, assisting representatives, and improving customer experience. Their GenerativeAgent platform handles complex conversations while maintaining enterprise-level performance and safety standards. This blog explains how ASAPP’s GenerativeAgent platform, built on AWS infrastructure, combines cloud capabilities with specialized AI to transform customer service operations.

The integration of Amazon Bedrock and Kong AI Gateway provides organizations with a comprehensive solution for scaling generative AI implementations, addressing key challenges in cost management, model orchestration, and operational visibility. Through Kong AI Gateway’s token-based cost controls, automated semantic routing across multiple LLMs, and comprehensive AI observability features, organizations can effectively manage and govern their AI applications while leveraging Amazon Bedrock’s secure foundation of leading foundation models and managed infrastructure.