Saying no to AI: How we solved a client's problem with math

Day 42 – Why Most AI Projects Fail Before They Even Start It’s not because the models are bad. It’s not because the algorithms aren’t cutting-edge. It’s because… the problem wasn’t framed right. In my early AI journey, I thought everything started with data and code. But the real starting point? Asking: What decision will this AI support? Understanding: What would success look like? Aligning: Does this solve a real, valuable problem? AI isn’t magic. It’s a tool. If the blueprint is wrong, no amount of fine-tuning will save it. What’s one thing you wish more teams did before touching data or models? #AI #DataScience #MachineLearning #ProjectManagement #AIProduct

"The Real Problem is not whether machine think, but whether men do ?" Relying solely on AI is unwise, and cultivating strong foundational skills is more important than ever. AI is a powerful tool to be used in support of human expertise, not as a replacement for it. Recently, I had an interesting experience where an AI tool gave me a wrong answer for a simple SQL sorting query. At first glance, the AI’s response looked convincing – but when I cross-checked, I noticed the ordering was completely off. #ArtificialIntelligence #GenerativeAI #CriticalThinking #Upskilling #ProblemSolving #FutureOfWork

AI doesn’t fail because of weak algorithms — it fails because of weak data. I added a blog post to our website today: Why Cleaning and Preparing Your Data is Essential for AI Success Here’s the core message: - Clean, structured, and well-prepared data is the foundation of any successful AI initiative. - Skipping this step leads to flawed insights, biased models, and wasted resources. - Industry research shows that projects with strong data foundations consistently outperform those that overlook it. AI may be the “shiny” part of digital transformation, but data quality is what makes the difference between hype and real impact. I’d love to hear your perspective: What’s the biggest obstacle you see when it comes to preparing data for AI? Read the full post here: https://lnkd.in/eJVdsxyW #AI #DataQuality #DataPreparation #DigitalTransformation #MachineLearning

𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘁𝗵𝗶𝗻𝗸 𝗯𝗲𝘁𝘁𝗲𝗿 𝗔𝗜 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 = 𝗯𝗲𝘁𝘁𝗲𝗿 𝗺𝗼𝗱𝗲𝗹𝘀. But the truth? Often, it’s not the model that’s holding you back — it’s the prompt. Prompting isn’t just typing instructions into a box. It’s a skill. A craft. Almost like learning how to ask the right questions in real life. Over the last year, I’ve seen one clear pattern: 👉 Those who treat prompting as a serious skill consistently get 10x better outcomes than those who don’t. From zero-shot simplicity → to advanced reasoning with Tree-of-Thought, each technique opens a different dimension of what AI can do. If you want to move from “chatting with AI” → to building with AI, applying these prompting strategies is the bridge. Because in the end.. It’s not about what the AI can do. It’s about what you can make it do.

The real shift in AI isn’t about the model. It’s about the conversation. When GPT-5 launched, OpenAI tried something bold: one universal model to replace them all. Clean, simple, scalable. But in practice, it broke things. People missed the unique strengths of the older models. Workflows collapsed, costs went up, and frustration grew. The lesson? Technology isn’t the bottleneck anymore. We are. With GPT-5 and beyond, the difference between average and exceptional results won’t come from choosing the right model. It will come from learning how to communicate with AI. Not vague one-liners. Not “magic prompts.” But structured conversations. Clear context. Detailed instructions. Collaboration. In this new era, it’s not just what you ask. It’s how you ask. #ArtificialIntelligence #FutureOfWork #AILeadership #PromptEngineering #GenerativeAI #TechStrategy

🤖💡 Think Big AI Needs Big Models? Think Again! The Future is Small, Fast, and Agentic. 💡🤖 The latest from Machine Learning Mastery flips the script on the "bigger is better" paradigm in AI. Here’s why Small Language Models SLMs are poised to dominate the next wave of Agentic AI: 🔋 Efficiency is King: SLMs require significantly less computational power and memory, making them cheaper to run and perfect for on-device deployment. 🚀 Speed Demons: Their smaller size translates to faster response times, which is absolutely critical for AI agents that need to think and act in real-time. 🛠️ Specialized Agents: Instead of one giant, general-purpose model, the future is a swarm of highly specialized, smaller models—each an expert in its own specific task. 🧠 Smarter Than Their Size: With techniques like better training data and strategic fine-tuning, SLMs are achieving performance that rivals their much larger counterparts. This isn't about replacing LLMs, but about using the right tool for the job. The most powerful AI assistant might just be a team of efficient specialists, not a single massive brain. What's your take? Will specialized SLMs power the next generation of AI applications in your field? #SmallLanguageModels #AgenticAI #MachineLearning Link:https://lnkd.in/dUtXntJd

Good prompts = good results 💡 The difference between a casual user and a power user of generative AI often comes down to one thing: structure. Advanced prompting frameworks are essential for moving beyond basic outputs to generate strategic, nuanced, and highly detailed results. Mastering these techniques is a key skill for any professional looking to integrate AI into their workflow effectively. We've outlined five powerful frameworks to elevate your prompting capabilities: RTF: the foundational method for clear instructions. Chain of Thought: crucial for improving the accuracy of complex logical tasks. RISEN: a robust framework for detailed project planning and execution. RODES: excellent for creative tasks requiring a specific tone and style. Chain of Density: a sophisticated technique for generating dense, information-rich summaries. Which advanced prompting frameworks have become essential to your workflow? Share your experiences in the comments. #AI #PromptEngineering #ArtificialIntelligence #FutureOfWork #DigitalTransformation #Productivity #ProfessionalDevelopment

What if the most important part of AI isn't the model itself? 🤔 A powerful AI can explain complex topics but can't remember your name from one conversation to the next. Why? Because the knowledge is in its training data, but the continuity is something we have to engineer. The real work is in designing the systems that give AI context and a sense of history. That's the difference between a one-off interaction and a truly intelligent tool. #linkedin #AI

Here's something to think about this weekend: You can't spell "Board" without using the letters, "oar", and that's exactly what most of them are doing, paddling backward. Meanwhile, so we are led to believe, AI agents, trained on centuries of historical market data, can predict currents and navigate the ship to a better future. While board members are busy offering "years of experience," their expertise is, by definition, an exercise in hindsight. In a world moving at the speed of data, relying on hindsight is a sure-fire way to be locked in the past. Is it time to swap the mahogany table for a motherboard? Or does AI's dependence on historical training data just re-enforce the status quo? What do you think? #AI #CorporateGovernance #Innovation #FutureOfBusiness

What does it mean to "speak" #AI? One of the most helpful features of today's AI is the ability to ask a question or assign a task in plain language and get a response back. But speaking to AI is not the same as speaking to a human colleague. Getting the most from AI at work requires an understanding of what it is... and what is not. Here's an article about what AI fluency in the workplace: 📞𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: refining your prompts, knowing how to "tune the knobs"  ✔️𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: testing outputs and matching tools to tasks. 🔃 𝗔𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: refreshing playbooks as capabilities evolve. 🤖𝗛𝘂𝗺𝗮𝗻-𝗔𝗜 𝗦𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀: pairing machine scale with human judgment and accountability. More here:  https://lnkd.in/gFhpmQzm https://lnkd.in/gFhpmQzm