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Why Multi-Agent Workflows Are a Game-Changer for AI-Powered Businesses
Businesses are looking for smarter ways to scale AI solutions without adding complexity. Multi-agent workflows offer a breakthrough approach, enabling specialized agents to work together seamlessly for real-world tasks.
all Technical posts
Deploying AI Foundry: How CAIRA Simplifies Enterprise AI Setup
CAIRA makes it easier to deploy a secure, governed AI Foundry on Azure. With ready-made reference architectures and Terraform automation, you can go from setup to building AI agents in minutes? Here’s how it works.
Download Our New White Paper "Understanding SaaS and PaaS for IoT"
Discover which solution will help you meet your IoT goals.
Unlocking the Value of Dynamics 365 Through Integration
Learn how you can unlock the value of Dynamics 365 through integration for your organization.
Discover How You Can Get Started with IoT in this eBook "Beyond the IoT Hype"
This eBook walks you through the steps on how to begin your IoT journey.
all Technical posts
Once your MCP server is ready, it needs a place to live where your AI applications can talk to it. In this blog post, we'll explore how to deploy an MCP server reliably and securely—from local development to production—so the connection between your host application and your MCP server stays stable and your AI workflows continue running without interruption.
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Once you've built your own MCP server, the interesting part comes: how to use it effectively in your AI-driven applications? In this blog post, we'll explore how to connect, test, and deploy your server so AI agents can truly collaborate with your tools and data.