This post lays out core principles, patterns, and pitfalls and invites you to download the full PDF guide, which includes detailed checklists (hiring, prompt governance, review policies), case studies, and architectural decision templates.
Over the past year, many organizations have jumped headfirst into AI experimentation. Whether it’s trying out Copilot for Microsoft 365, automating repetitive workflows with Power Automate, or testing small GPT-based chatbots. These tools are powerful for individual productivity, but as soon as the use cases grow complex, new challenges arise... That’s where Azure AI Foundry comes in.
After working with dozens of clients across industries, I’ve noticed a clear pattern: the same five pitfalls appear again and again. These challenges don’t just slow progress, they can derail promising projects entirely. If you’re planning your first AI initiative, here are the five most common mistakes to avoid, and what to do instead.
When clients ask about building AI agents, one of their first questions is often: Which Microsoft tool should I use? Copilot Studio or Azure AI Foundry? On the surface, they look similar. Both integrate deeply with the Microsoft ecosystem. Both can power custom agents. But in practice, they’re designed for very different use cases. This blog showcases where each tool shines, and why starting simple often creates the best long-term path.
Data privacy is a foundational component of trust with your employees, customers, and partners. It governs how sensitive information is collected, used, shared, and retained. When overlooked, it becomes a primary source of risk. By starting the year with a proactive privacy review, organizations can move faster and safer throughout the year. This list outlines the non-negotiables for 2026, based on what I’m seeing across the enterprise AI landscape.
Explore the benefits, new features, and essential upgrade strategies for the latest long-term support release of Umbraco CMS.
In 2026, many organizations building a modern data estate will encounter a similar question: Should we use Microsoft Fabric, Azure Synapse, or Databricks? They’re all powerful, capable platforms, but they’re not interchangeable. The right choice depends on your data size, team skillset, existing tech stack, and how much control or speed you need.
Custom software can help you meet business goals efficiently and cost-effectively. But when you have a custom software development project, how do you find a trusted partner to build and maintain your new solution? This article tells you the top 8 traits to look for in a custom software development partner.
As organizations enter a new year, leadership teams are resetting priorities, refining strategies, and setting expectations for growth. One critical enabler often overlooked during this planning cycle is the health of the organization’s data foundation.
Data is the lifeblood of modern businesses, and organizations that can turn raw data into actionable insights gain a significant competitive edge. In 2026, the demand for data professionals who can navigate Microsoft’s cloud, AI, and analytics ecosystem will continue to grow.
Emergent Software offers a full set of software-based services from custom software development to ongoing system maintenance & support serving clients from all industries in the Twin Cities metro, greater Minnesota and throughout the country.
A software development and consulting company serving clients from all industries in the Twin Cities metro, greater Minnesota and throughout the country.
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