I stared at my screen, equal parts amazed and alarmed. I had just vibe-coded a solution to a code challenge that normally takes senior devs 3–4 hours to complete. I had done it in 10 minutes — and it passed 100% of our review checks. Software development is undeniably changing. The question on my mind is: what is it changing into?
Data strategy is inherently cross-functional. It lives at the intersection of business goals, operational workflows, technology, and user behavior. Without a shared definition of success, teams operate in silos and often solve the wrong problems with the right tools. Here’s the question I always come back to with clients: What decision are you trying to support? Everything flows from there.
Artificial intelligence is moving fast, but most enterprises still feel stuck. A recent McKinsey study found that 70% of AI proof-of-concepts never make it past the pilot phase. At Emergent Software, we’ve spent the last few years deep in the AI trenches, helping organizations move from experimentation to tangible outcomes. Alongside my colleague Brian Anderson, we’ve gathered a number of lessons from the field that can help enterprises break through the common barriers and finally get AI into production.
When I think about the skills that have made the biggest difference in my career, one stands out that doesn’t always get the recognition it deserves. Translation.
When organizations seek agility and scalability, they turn to containerization—the driving force behind modern application deployment. Azure Container Apps, Microsoft's innovative serverless container service, paired with the power of Docker, empowers organizations to build applications that thrive under dynamic workloads. In this blog, we’ll uncover how Azure Container Apps redefines enterprise deployment, offering a seamless blend of scalability, reliability, and efficiency.
It’s easy to overspend in the cloud if you’re not watching closely. It’s just the nature of the platform. You’ve got flexibility, endless features, and instant scalability... but if you treat Azure the same way you treated your old data center, you may run into some issues.
When I started out as a software developer, success felt simple: solve problems, write great code, rinse, repeat. But after stepping into leadership, I realized the hard truth: good software doesn’t just come from great code. It comes from building the kind of team where people feel supported, challenged, and connected. And that takes more than technical know-how. It takes intention.
In cybersecurity, risk is an ongoing concern. While it is impossible to eliminate every threat, organizations can take strategic steps to strengthen their defenses and reduce potential vulnerabilities. One of those steps is implementing a Security Information and Event Management (SIEM) solution such as Microsoft Sentinel.
Generative AI tools have introduced incredible opportunities for development teams. From speeding up boilerplate code to helping understand legacy systems, these tools can meaningfully boost productivity and creativity. But without thoughtful use, they also introduce risks. At Emergent Software, we believe AI tools are only valuable when used intentionally and responsibly. Here’s a look at how we use AI tools: what we do, what we avoid, and why it matters.
Implementing security procedures for any organization involves more than just tools, it starts with understanding what needs to be protected, why it matters, and how best to reduce risk. One of the most effective ways to build those controls is through data governance. In this blog post, we’ll walk through what data governance is, why it matters, and how to get started using Microsoft Purview within the Azure ecosystem.
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.
Twin Cities Sales Office
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