Weekly AI Knowledge Sharing

The biggest limitation of an LLM is simple , it doesn’t know your data. That’s where RAG (Retrieval Augmented Generation) becomes powerful. Instead of retraining the model, we: 🔹 Store enterprise data in Delta Lake 🔹 Convert it into embeddings 🔹 Use Vector Search…

So here’s a high-level breakdown, without the noise. Step 1: Start with the problem, not the modelBefore touching any AI tool, be clear on why you need a chatbot.Is it for customer support? Internal knowledge? Automation?Most chatbot failures start with an unclear use case….

“Is AI Product Manager a real long-term career, or just hype?” It’s real — and it’s growing fast. Today, almost every serious product roadmap includes AI. But AI alone doesn’t create value. Products fail when AI is built without clear user problems, success metrics,…

Predictive AI — Anticipating the Future With Data What if your system could tell you what’s likely to happen next —before it actually happens? That’s exactly what Predictive AI does. Predictive AI uses historical data, statistical patterns, and machine learning models to forecast future…

AI is transforming every industry and with it, the role of Product Managers (PMs) is evolving faster than ever. Today, an AI Product Manager sits at the intersection of business, technology, data, and ethics. Here’s what this role truly demands: What Do AI Product…

A High-Level Roadmap to Start Learning AI in 2026 If you’re planning to learn AI in 2026, here’s the good news:You don’t need to know everything.You just need a structured direction. After meeting developers, leaders, and beginners over the years, I’ve realized one thing…