Practical AI Experiments

BEGINNER DATABRICKS TUTORIAL Databricks Genie gives business users a familiar chat interface for asking questions about company data. Instead of starting with SQL, they can ask a question such as “What were gross sales last quarter?” and receive a written answer, result table, chart, and the SQL used to calculate it. If you have used

PRACTICAL AI EXPERIMENT Asking an AI tool a business question can feel deceptively simple. The user types “What were sales last quarter?” and expects one dependable number. Behind that question are decisions about order status, discounts, returns, reporting dates and the company’s own definition of sales. I wanted to see how much those definitions matter

PRACTICAL AI EXPERIMENT Inventory reports have a habit of looking simple until you actually have to decide what deserves attention. A product can be below its reorder point and still be fine because stock is already arriving. Another can look healthy today while a long supplier lead time means it will run out before replacement

PRACTICAL AI EXPERIMENT Vendor contract review can involve a surprising amount of repetitive comparison work. A reviewer reads a clause, checks the company’s contract playbook, decides whether the position is acceptable, and then moves on to the next clause. Multiply that across a long agreement and a steady stream of vendors, and a fairly straightforward

PRACTICAL AI EXPERIMENT Accounts payable has a lot of work that is individually quite simple and collectively quite annoying. A vendor sends an invoice, someone finds the purchase order, and then the checking begins: quantity, unit price, freight, payment terms, total, and whatever special instructions happened to be written into the PO. I wanted to