Posts

AI isn’t a future promise anymore. It’s actively solving problems in industrial operations right now, tackling work that once required years of specialized expertise. We’re seeing real applications optimize supply… Read more: AI is Reshaping Industrial Operations. Here’s What’s Actually Happening.

Here’s the uncomfortable truth: every time you ask ChatGPT or Claude a question, your words travel to external servers. For most companies, that’s fine. For legal firms, defense contractors, healthcare… Read more: Chat with Your Secrets: Running Private LLMs Without Leaving Your Network

Your operators are drowning in routine tasks. Log entries, status checks, alarm triage, shift summaries. It’s necessary work, but it’s not why you hired them. They should be making decisions,… Read more: Stop Making Your Operators Do Busywork: Build an AI Crew Instead

Everyone throws around “chatbot,” “LLM,” and “AI agent” like they’re interchangeable. They’re not. Understanding the difference matters if you’re building anything that actually does work. A chatbot is a vending… Read more: Chatbot vs LLM vs AI Agent: Know the Difference

Here’s a weird truth about industrial optimization: you probably don’t need new machines. You need smarter logic running on the machines you already have. We recently worked with a manufacturing… Read more: Your Hardware Isn’t Broken. Your Logic Layer Is.

For decades, the industrial world has maintained a hard separation between IT systems and operational technology. Then SPS 2025 happened, and three major vendors made it clear: AI is finally… Read more: The IT/OT Wall Just Cracked Wide Open

Here’s what I’ve learned watching small companies actually use AI: they’re not buying fancy platforms. They’re finding one thing that eats their team’s time and killing it. Invoice matching. Document… Read more: Small Business AI Isn’t Enterprise AI Lite

Gartner’s latest forecast landed hard: 40% of enterprise apps will run task-specific AI agents by the end of 2026. That’s an 8x jump from today’s adoption rates. But here’s what… Read more: AI Agents Don’t Replace Teams. They Expose What’s Broken.

Here’s the thing nobody talks about: companies aren’t failing at AI implementation because the technology is too hard. They’re failing because they’re trying to bolt AI onto existing systems without… Read more: Stop Saying AI Adoption. Start Saying Trust Engineering.

Everyone wants the AI productivity miracle. The 40% efficiency gains are real, but here’s what nobody talks about: they only show up when people know how to think with AI,… Read more: AI Won’t Save You: Training and Judgment Will

Most people’s AI workflow looks like this: open ChatGPT, type a question, copy the answer. Rinse, repeat. That’s not a productivity revolution. That’s a search engine with better grammar. The… Read more: Stop Chatting with AI. Start Using It.

Here’s what separates the winners from the pretenders in physical AI: the winners aren’t using AI to make their existing systems smarter. They’re rebuilding their operating systems from the ground… Read more: Stop Bolting AI Onto Your Factory Floor

For years, the narrative around AI was simple: these systems are power-hungry monsters. Fair point, given the energy demands of training large language models. But the story just flipped, and… Read more: AI Just Became an Energy Solution, Not a Problem

If you wait for the “perfect AI use case” before testing AI in your industrial processes, you will never start. And if you never start, you will never get your… Read more: Using today’s Industrial AI to prepare for tomorrow’s AI breakthrough

When choosing the right AI solution, relying solely on published benchmarks is risky. It’s not much different from the old diesel emissions scandal: cars were tuned to perform perfectly in… Read more: Don’t Get Trapped by AI Benchmarks

When starting your AI journey, the wrong first question is: “How can I fit AI into our business?” That approach leads to shoehorning technology into workflows where it doesn’t belong,… Read more: Don’t Force AI Into Your Processes

MIT’s recent study found that 95% of AI pilots fail to reach production or deliver measurable ROI. That figure is striking, but it doesn’t mean AI is overhyped. It means… Read more: Has AI Been Overhyped? No. The Problem Is Execution.

Industrial Operational Technology (OT) like PLCs, SCADA, DCS, and other controllers traditionally operated within closed environments, fulfilling fixed operational functions. But as cloud computing and global connectivity grew, large enterprises… Read more: AI Is Blurring the Boundary Between IT and OT

If you love creating your own Custom GPTs for specific tasks with your own knowledge sets, GPT-5 has now broken this feature. Very disappointed there’s no option to continue with… Read more: GPT-5 Breaks Custom GPT Development

After my recent post about using AI to program Siemens PLC programs, many asked me if it can replace programmers. No is the simple answer. “Programming will remain a 100%… Read more: AI: Great at Coding, Won’t replace the Programmer

The industrial sector holds a lot of commercially and intellectually sensitive material. That’s why LLMs like ChatGPT, Gemini, and others are often banned in these environments. You can’t risk your… Read more: Confidential AI Chats that Run Only on Local Computers

Vibe coding is the practice of quickly generating programs using AI. This is different from “AI-assisted coding” as you give more coding flexibility to the AI to create large chunks… Read more: Vibe Coding for Siemens PLCs

Preventive maintenance is a well-established industrial approach where scheduled interventions are performed to maintain equipment reliability and avoid unplanned downtime. With the rise of AI and the ability to process… Read more: What is Prescriptive Maintenance and why is AI involved ?

ChatGPT is proving useful to average industrial users for building more powerful analytical tools, analysing data or even creating simple ML models. But beware: it has no concept of time… Read more: ChatGPT Doesn’t Understand Time in Programming

AI can bring real low-cost value to industry by interpreting video feeds, especially from cameras you already have. Most industrial sites already use cameras for basic monitoring. With AI, those… Read more: How AI Turns Cameras into Industrial Sensors

Most industrial systems still run on SCADA setups installed 10–20 years ago—many on outdated OS like Windows 98 or Windows 2000. They’re hard to upgrade, expensive to replace, and become… Read more: Why Edge Computing Matters for Industrial AI

Most AI systems are designed for one-off decisions: inference, image recognition, maintenance forecasts, anomaly detection, and so on. But control systems need more than that. They manage hardware exposed to… Read more: Reinforcement Learning for AI Industrial Control

In March 2016, AlphaGo—Google DeepMind’s AI—faced world Go champion Lee Sedol. During Game 2, it made the now-famous Move 37. At first, it looked like a mistake. No human had… Read more: How AI Can Bring New Efficiencies to Your Business !

What Are AI Agents 🤖 ? You’ve heard of AI – tools like ChatGPT, Gemini, Claude, etc. that can answer questions or help you write things. But AI Agents take… Read more: What are AI Agents ?

There’s a reason why the saying “garbage in, garbage out” is still relevant—especially in AI. Too many believe that just having lots of data is enough. It’s not. The real… Read more: Train AI with Meaning, Not Just Data

The AI hype cycle is deafening, but here’s what’s actually happening: AI systems are tackling problems that used to require PhDs and years of specialized research. We’re seeing real breakthroughs… Read more: AI Is Solving Real Problems. Stop Pretending It’s Magic.

Let’s be honest: AI advances in the past 18 months have been genuinely impressive. We’re past the stage of clever chatbots. These systems are now tackling problems that once required… Read more: AI is Solving Real Problems, But Don’t Believe the Hype