
Training data is critically important and allows AI to do what it does. For AI, that comes in the form of the “training data” supplied to the system to recognize patterns and identify the best solutions. So what is the difference between AI invented and AI-inspired? Input and experience play a key role.

Einstein was inspired by physicists that went before him. Edison didn’t invent the lightbulb he perfected it. With every new creation comes inspiration from something else. Innovation and creation come from our learnings and experiences. Some are even calling it the AI-driven “fourth industrial revolution.” On today’s show, I am going to be discussing AI and how it can be applied and used in innovation. It has moved from merely a “hype label” to something of reality. As of recent, AI has been in transition mode. You can’t attend trade shows without seeing AI attached to labels such as AI apps, AI-enhanced coffee, and AI influenced healthcare, etc.

AI has become the new buzzword that has been applied to anything and everything.
