Tag: Partner solutions

When AI infrastructure costs consumed 40% of per-interview revenue, InterWiz knew their single-provider architecture couldn’t support profitable growth. By partnering with AWS Advanced Tier Services Partner Emumba to migrate from Azure OpenAI to Amazon Bedrock, InterWiz reduced AI costs by 90%, improved response times by 55%, and maintained 99.9% uptime, all with zero service disruption. Learn how a multi-model architecture on Amazon Bedrock transformed InterWiz’s cost-to-revenue ratio and created lasting competitive advantage.

The AI-Driven App Modernization Platform from Pega and AWS enables enterprises to incrementally transform legacy applications from mainframes to monolithic applications into intelligent, cloud-native workflows using AI-powered discovery, low-code design, and the strangler fig pattern, cutting modernization timelines from years to months without disrupting critical business operations.

DevRev built real-time AI guardrails into its enterprise agent system, powered by Amazon Nova 2 Lite through Amazon Bedrock. The guardrail layer evaluates every user input against default and custom policies in 247ms average latency without degrading the conversational experience. This post explores how DevRev delivers high support ticket automation and cost reduction while keeping content on-policy and safety controls firm.

AWS and Elastio deliver a modern approach to ransomware resilience by combining immutable, air-gapped data vaults with continuous integrity validation, so organizations can confidently recover from cyberattacks with clean, verified data. This integrated solution addresses the critical gap in traditional disaster recovery strategies, which weren’t designed to handle ransomware’s lateral movement across production, standby, and backup environments.

AWS has launched the Partner-Led Forward Deployed Engineering (FDE) motion, extending its $1 billion investment in agentic AI deployment to strategic consulting partners. This new capability builds dedicated, AWS-credentialed engineering teams within leading partners to deliver production agentic systems in days, not months, using a reusable delivery harness that compounds expertise with every engagement, ensuring customers achieve real outcomes on real data under real governance.

As AI workloads scale on AWS, the API layer becomes the primary security surface where every prompt, model response, and agent action flows through. AWS foundational controls and Wallarm runtime API security work together to deliver continuous discovery, behavioral threat detection, and output validation, helping organizations secure agentic systems without re-architecting their environments.

As cloud-native environments expand, security and operations leaders face mounting pressure to reduce response times while managing growing alert volumes and team capacity. Elastic’s AI-powered features on Amazon Bedrock automate the path from detection to resolution across both security and observability workflows. Learn how conversational agents, automated workflows, and custom AI agents accelerate incident response and root cause analysis on AWS.

AI coding assistants and MCP servers have made development faster, but they’ve also made secrets exposure harder to catch. Developers share credentials through config files, Git repos, and CI/CD logs without realizing it. This post walks through how GitGuardian integrates with AWS Secrets Manager to give security teams full visibility across the secrets lifecycle: detecting when vaulted credentials show up in code, finding duplicate secrets scattered across multi-account architectures, and putting continuous governance policies in place so secrets management becomes proactive rather than reactive. We cover a phased implementation roadmap, from initial deployment through automated monitoring, that helps you build a secrets security strategy that grows with your organization.

Accenture and AWS are closing the data readiness gap that stalls most enterprise AI initiatives with three new agentic AI solutions—now available in AWS Marketplace—that autonomously discover, migrate, govern, and make enterprise data consumable for generative AI and agentic applications. Built on Amazon Bedrock AgentCore and backed by 16 years of partnership experience, these solutions help organizations turn fragmented, legacy data estates into strategic assets ready for agentic AI at enterprise scale.

What if one database could handle transactions, analytics, and semantic vector search for your AI agents—all without managing separate systems? TiDB Cloud on AWS, integrated with Amazon Bedrock, delivers a unified, serverless architecture purpose-built for the demands of autonomous AI. In this post, PingCAP and AWS walk you through the reference architecture, real-world use cases, and the key design decisions to make your generative AI applications production ready using the TiDB console.