Author: Keith Baldwin

Introduction: Breathing New Life into Legacy Apps If you’ve been running .NET applications for years, chances are they’re business-critical, deeply embedded, and hard to replace. At the same time, leaders across industries are asking: “How do we add AI capabilities without rewriting everything from scratch?” The answer: Azure OpenAI + .NET integration. With Azure OpenAI, […]

Introduction: Why Feature Engineering Matters Every machine learning model lives or dies by the quality of its features. In fact, data scientists often say, “Better data beats better algorithms.” For .NET developers stepping into AI and ML, feature engineering is where business knowledge meets technical execution. It’s the art of transforming raw business data—sales transactions, […]

Introduction: The Promise vs. Reality of Low-Code AI Low-code and no-code AI platforms are often marketed as the fastest way to bring artificial intelligence into your organization. They promise pre-built models, drag-and-drop workflows, and a smooth path from idea to production. But here’s the reality: while low-code AI can be valuable for prototyping and simple […]

Introduction: Why Prototyping Matters in High-Stakes Projects Government departments are under constant pressure to deliver public value while protecting taxpayer dollars.In this case study, a U.S. government agency faced a high-risk, high-cost technology project—but a small AI prototype ultimately saved them $1.2 million before full deployment. This isn’t just a story about cost savings—it’s a […]

Introduction: The Microsoft AI Fork in the Road The Microsoft ecosystem offers two powerful yet very different paths for building AI solutions: Power Platform and .NET.Both can deliver value—but only if you match the right tool to the right project. If you’ve ever wondered whether to build in Power Platform (Power Apps, Power Automate, AI […]

Introduction: Why the AI Application You Choose Matters AI adoption is no longer a speculative investment—it’s a strategic necessity.But in today’s crowded AI marketplace, leaders often face a common question:Which AI application will deliver the fastest and most sustainable return on investment (ROI)? Three popular options dominate enterprise AI discussions: Choosing the right one isn’t […]

Introduction A recent discussion online suggested that Amazon Web Services (AWS) is prioritizing European data center construction for political reasons. The claim implied that geopolitical events — such as changes in U.S. leadership — were driving AWS’s investment decisions more than business logic. But the reality is more practical: building AI infrastructure in Europe faces […]

Introduction: The Developer–Executive Disconnect in AI Artificial intelligence promises transformation, innovation, and competitive edge. Executives are under pressure to deliver—fast. But between the boardroom pitch and the first successful model, there’s often a yawning gap filled with confusion, scope creep, and missed expectations. At the center of it all? Developers. Too often, developers are tasked […]

Introduction Building a custom classifier doesn’t require switching to Python or hiring a team of data scientists. With ML.NET, Microsoft’s machine learning framework for .NET developers, you can embed powerful predictive models directly into your C# applications—using the tools and skills you already know. In this article, we’ll walk you through the end-to-end process of […]

Artificial intelligence (AI) has shifted from buzzword to boardroom priority. But before mid-market organizations can reap the benefits—improved operations, smarter decisions, enhanced customer experiences—they must ask a fundamental question: Are we really ready for AI? AI readiness isn’t about hiring a data scientist or spinning up a pilot chatbot. It’s a multifaceted state involving leadership […]

Artificial Intelligence is often hailed as precise, impartial, and even clinical. But every now and then, it gets blindsided—by something as human, creative, and unexpected as body paint. Yes, you read that right. People are fooling AI nudity detectors using realistic body paint. And while it’s an amusing story on the surface, it’s also a […]

Couple of days ago, I wrote a nu metal song about coding and chainsaws using an LLM. Still waiting on the record deal. This week? I’m tackling something more dangerous—AI influencers. 🎯 The AI Influencers Get One Thing Very Right I recently stumbled on a YouTube video titled “10 Ways to Use AI in Your […]

People worry about LLMs (Large Language Models) “replacing everyone.” I’ve read countless think-pieces about how AI will destroy creativity, end jobs, and eat art for breakfast. Most of them miss a crucial point: not every project requires the next Johann Sebastian Bach, Wolfgang Amadeus Mozart, or Ludwig van Beethoven. Most of the time, we just […]

Introduction: AI Success Isn’t Just About Algorithms — It’s About People Everyone’s obsessed with AI tools, models, and platforms.But here’s the hard truth most leaders ignore: The success or failure of your AI initiative depends more on your best employees than on your tech stack. If you want AI to deliver real business value, you […]

Introduction: The Mirage of Plug-and-Play AI Off-the-shelf AI sounds great in theory: install a tool, automate tasks, profit. But for most businesses—especially those already invested in the Microsoft stack—the promise of “plug-and-play AI” often turns into a trap of black-box tools, hidden costs, and limited customization. The smarter move? Build your AI in-house using tools […]