The AI conversation has become almost impossible to navigate. On one side, breathless predictions about artificial general intelligence. On the other, dismissals that it's all just statistics. The truth, as usual, is somewhere in between, and that's where the practical value lives.
The businesses getting real value from AI aren't building sentient chatbots. They're using machine learning to detect anomalies in manufacturing data, natural language processing to route customer inquiries, and computer vision to automate quality inspection. Unglamorous applications that save real time and money.
Start with the data
Before asking what AI can do for you, ask what data you have. The most sophisticated model is useless without clean, well-structured training data. Many AI projects fail not because the technology wasn't ready, but because the data wasn't. Getting your data house in order is the single highest-leverage thing you can do to prepare for AI adoption.
