Author: Eduardo Monich Fronza

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 […]

As organizations increasingly adopt AI capabilities, the focus is shifting from simple generative AI responses to sophisticated AI Agents that can act autonomously on behalf of users. Businesses need effective tools to build, deploy, and manage AI solutions that can independently accomplish goals requiring reasoning, judgment, and adaptable use of resources. Three IBM solutions – […]

When customers deploy containerized workloads using Amazon Elastic Kubernetes Service (Amazon EKS), having visibility into their distributed microservices and their dependencies helps them maintain reliable application performance. Instana Observability (Instana) offers an Amazon EKS Add-on that deploys Instana agents to Amazon EKS clusters. Customers can use this add-on to collect and analyze real-time performance data […]

As enterprises scale their Kubernetes workloads on Amazon Elastic Kubernetes Service (Amazon EKS), they need effective cost and performance optimization. IBM Instana Observability (Instana), a comprehensive observability platform, and IBM Kubecost, a cost-monitoring solution for Kubernetes, work together to provide real-time visibility into both performance and cost metrics. The integration between IBM Instana and Kubecost […]

As businesses grow so does the volume of application data that they need to manage, this includes data relating to performance, risks, issues, software composition and operations. In order to process this growing volume of information, organizations require effective tools to protect themselves and to take advantage of operational efficiencies. IBM Concert, now available as […]

Customers in different industries rely on IBM Z mainframes to run their mission-critical applications and process large-scale transactions. These systems generate and store vast amounts of valuable data that needs to be tracked and managed efficiently using tools like IBM Knowledge Catalog. A hybrid solution to bridge the gap between mainframe and AWS combines IBM […]

Current AI governance often relies on static evaluations of large language models (LLMs). However, when generative AI (GenAI) interacts with dynamic, structured data like organizational databases, static evaluations fall short. Continuous monitoring is essential to ensure that natural language inputs and GenAI outputs comply with regulations, avoid bias, and prevent errors or unintended consequences. The […]

As organizations look to scale AI across their operations addressing issues of trust, transparency, and compliance is essential. While AI models offer significant opportunities, managing them effectively requires addressing challenges such as bias, fairness, security, and model efficiency. Additionally, key regulations like the EU AI Act, U.S. AI Bill of Rights, Singapore AI Governance Framework, […]

IBM has open-sourced its Granite Code Models, which are now available in Amazon SageMaker JumpStart, and can also be deployed in Amazon Bedrock using Custom Model Import. These models provide developers and data scientists with generative AI capabilities for code generation. IBM Granite AI foundation models are designed to be cost-efficient and enterprise-ready. These models […]

Amazon Web Services customers who are looking to deploy and use IBM Cloud Pak for Data (CP4D) on the AWS Cloud, can use Red Hat OpenShift Service on AWS (ROSA). ROSA is a fully managed service, jointly supported by AWS and Red Hat. It is managed by Red Hat Site Reliability Engineers and provides a […]