Author: Eduardo Monich Fronza

Organizations run AI workloads from real-time inference to large-scale model training on GPU-backed Amazon Elastic Compute Cloud (Amazon EC2) instances. As these workloads grow, demand on GPU, memory, and CPU resources shifts throughout the day. Keeping instance capacity aligned with this changing demand is key to maintaining application performance and optimizing costs. IBM Turbonomic on […]

IBM OpenPages, an AI-powered governance, risk, and compliance (GRC) solution, is now available on AWS Marketplace. You can access integrated risk management, regulatory compliance, and audit functions in a single software-as-a-service (SaaS) environment. When GRC functions operate from separate systems, teams spend more time consolidating information than acting on it. With rapidly changing regulatory obligations […]

Customers building AI and analytics workloads often need to move data across multiple sources, formats, and integration styles. As organizations increasingly embed real-time and agentic workflows across hybrid environments, teams require robust integration functionality, flexibility, portability, and governance. IBM watsonx.data integration is now available on AWS Marketplace to help customers meet these requirements. It provides […]

Organizations are moving beyond AI agent prototypes to deploy them in production workflows where they act autonomously, coordinate across systems, and deliver consistent business outcomes. Building production-ready agents requires more than selecting a foundation model (FM), teams must define agent behavior, integrate tools and APIs, connect knowledge sources, configure multi-agent orchestration, and manage the full […]

As AI agent deployments grow across enterprise systems, organizations need a way to bring together foundation models, tools, and governance frameworks to scale AI reliably across business functions. IBM watsonx Orchestrate addresses this by bringing AI agents, business workflows, and enterprise integrations together in a single governed environment. It is available as a fully managed […]

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Organizations building AI applications need unified access to structured and unstructured data while maintaining governance and control. Data scientists, engineers, and AI developers require tools that help them extract value from diverse data sources across environments. IBM watsonx.data on AWS addresses these needs with new features that expand its capabilities. Customers can now access the […]

AI agents built with Amazon Bedrock AgentCore (AgentCore) autonomously reason, act, and orchestrate multi-step workflows to solve complex business problems. As organizations deploy these agents in production, comprehensive observability becomes essential for understanding agent behavior, diagnosing issues, and optimizing performance. Customers using IBM Instana Observability (Instana) on Amazon Web Services (AWS), can send AgentCore telemetry […]

Organizations running large-scale AWS workloads across hundreds of accounts, need an efficient way to analyze and visualize Amazon CloudWatch metrics without increasing operational costs or adding latency. While traditional API polling methods work well for many use cases, organizations need to optimize performance and cost when handling thousands of metrics at high frequency. IBM Instana […]

Enterprises deploying AI agents across business functions are working to unify automation, strengthen governance, and simplify integration. To deliver business value, AI agents require the ability to coordinate across systems and maintain consistent security controls. Achieving this requires orchestration capabilities that enable agents to work together effectively, reducing manual processes and extending AI investments across […]