Category: Generative AI

Discover how the groundbreaking integration of Zeta’s AI Marketing Platform with AWS’s cloud infrastructure is revolutionizing personalized customer experiences at scale. This powerful combination processes billions of real-time customer signals, enabling hyper-targeted campaigns while maintaining strict compliance standards. Learn how leading organizations are leveraging this unified ecosystem to overcome today’s most pressing digital marketing challenges and achieve measurable ROI across all channels.

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.

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.

Generative AI is rapidly transforming how enterprises operate, but security remains a critical concern. According to the Zscaler ThreatLabz 2025 AI Security Report, while AI/ML tool usage has surged 36x year-over-year, 60% of this traffic was blocked due to security concerns. This post demonstrates how AWS and Zscaler’s integrated security controls help protect AI workloads while maintaining compliance and data protection.

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.

DeepBrain AI, in collaboration with AWS, introduces AI Detector, a pioneering solution that accurately identifies AI-generated content in real-time. Built on AWS services including Amazon EKS and Amazon Rekognition, AI Detector offers enterprise-grade accuracy, speed, and security compliance, empowering organizations to maintain digital trust.

The blog discusses how Deepgram’s voice AI technology, integrated with AWS services, is modernizing healthcare by reducing administrative burdens on medical professionals. The solution uses Deepgram Nova-3 Medical for accurate medical transcription, Amazon Bedrock for AI orchestration, and Amazon EKS for deployment. Two deployment options are available: self-hosted on AWS or SaaS. Key applications include AI medical scribes, automated prescriptions, logistics enhancement, and intelligent scheduling.

Technology Innovation Institute (TII), an AWS Partner in the Middle East, advances privacy-preserving AI with their enhanced Federated Learning solution, PetalGuard. The solution enables organizations to collaborate on AI model development while maintaining strict data privacy and regulatory compliance. Learn how PetalGuard this development exemplifies TII’s position as a leading technology innovator in the Middle East and demonstrates the value of our strategic collaboration in delivering cutting-edge solutions for privacy-preserving AI development.

Explore how Appian’s AI Copilot, powered by Amazon Bedrock is built directly into the Appian platform to assist both business users and developers in common tasks. For business users, AI CoPilot enables conversational data interaction through Records Chat feature, to help find patterns and trends from real-time data, and provides quick access to business specific documents through the Enterprise Copilot. Whereas, for developers, AI Copilot accelerates application development by assisting in requirements gathering to data modeling, UX design and object generation, while also automating test case creation and generating realistic sample data for testing.

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.