AI gains power from two things: it improves automatically as it sees more data, and it finds patterns in massive datasets that humans can't spot. This makes it especially disruptive in industries drowning in data.
So here are 2 key elements and 1 macro driver driving the value of AI that we see today. Value driver number 1, AI can passively improve through additional data. Because AI can learn from data and optimize performance over time, it becomes a self-improving system compared to other codebases that decay and accrue expensive and time-consuming technical debt. AI learns and improves. While the algorithm may degrade over time if the training data is poor, AI's growth still provides a potential competitive edge to startups by allowing them to continuously refine their products and services with minimal incremental cost. Value driver number 2 is that AI can disrupt data-heavy industries. So AI can take vast amounts of data and derive meaningful and targeted insights, highlighting patterns that would be close to impossible for a human to identify.
Paige of Behind Genius driving an AI electric train in St. Louis (Intramotev Visit)
