Author: Keith Baldwin

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 […]

In the early 1980s, I wrote my first lines of code in C. There were no tutorials, no Stack Overflow, no AI tutors—just a reference book by Kernighan and Ritchie, a blinking cursor, and a lot of trial and error. Then came Lint. For the uninitiated, Lint was a static code analyzer—a glorified tattletale that […]

Most senior developers have lived this nightmare. You meet a passionate, scrappy entrepreneur—someone who’s poured their life savings into building their dream app. They’ve hired a handful of bargain-bin developers from wherever the hourly rate was lowest. The result? A bloated, fragile mess of code layered like geological strata—years of cut corners, sloppy patches, and […]

Early in your career, complexity feels like mastery.You chase interfaces, patterns, and architectural purity — not because the project demands it, but because it looks professional. We’ve all been there. You build layers of abstraction, inject dependencies you don’t need, and architect like you’re building the next NASA launch system… for a CRUD app. But […]

Artificial Intelligence isn’t just for Python developers anymore. Thanks to the rise of ONNX and its seamless integration into the Microsoft ecosystem, .NET developers now have a powerful, production-ready way to bring AI into their applications—without switching languages or sacrificing performance. In this article, we’ll explore what ONNX is, why it’s central to Microsoft’s AI […]

🧠 What is the Centaur Model? On July 2, 2025, Nature published a groundbreaking study: “A foundation model to predict and capture human cognition.” The researchers fine-tuned a large language model using a dataset called Psych-101, which included over 10 million decisions made by 60,000+ people across 160 psychology experiments. The result? A model called […]

Why Prototyping Matters in AI Development AI isn’t magic—it’s structured problem-solving powered by data, models, and computing power. Yet many organizations stall because they overthink AI projects or try to go “big” from the start. The smarter path? Build a prototype. Prototyping lets you validate ideas, demonstrate ROI, and identify risks—without committing to a full-scale […]

Why Smarter System Design Beats Over-Engineering with AI and Automation Too often, teams rush to automate complex problems without asking a more important question: Should this process even exist in its current form?That’s the difference between engineering and intelligent engineering. In this article, we’ll explore a real-world example from an Intelligent Document Processing (IDP) project, […]