AI has become the new buzzword that has been applied to anything and everything. You can’t attend trade shows without seeing AI attached to labels such as AI apps, AI-enhanced coffee, and AI influenced healthcare, etc. As of recent, AI has been in transition mode. It has moved from merely a “hype label” to something of reality. 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.

AI Innovation

Innovation and creation come from our learnings and experiences. With every new creation comes inspiration from something else. Edison didn’t invent the lightbulb; he perfected it. Einstein was inspired by physicists that went before him. So what is the difference between AI invented and AI-inspired? Input and experience play a key role. For AI, that comes in the form of the “training data” supplied to the system to recognize patterns and identify the best solutions. Training data is critically important and allows AI to do what it does. It is part of an element called machine learning, which has historically applied to games like chess and go. It was initially thought that humans had a unique advantage at these kinds of things. Here are a few examples that may prove otherwise:

* Deep Blue’swin over Chess champion Garry Kasparov. It took multiple attempts, but the robot's skill evolved after a while.

* IBM Watson’sJeopardy win over human trivia kings.

* Google DeepMind’s Go-playing bot’s win against a Korean grandmaster. The top player has retired, saying that a human will never be better than a computer at Go.

Is this proof that AI is becoming smarter than humans? It depends on how you define smart. Do you define it by IQ number, critical thinking skills, or memorization? What makes humans smart? Let’s not move too fast here. In the case of chess, the key is to recognize patterns and to be able to look at the number of steps ahead. These are two skills that computers have become quite good at using machine learning. So is that the definition of smart?

There is no doubt that AI will make an impact. Will it have an impact on innovation? If so, how will it be manifested? In what ways can we use AI to support our innovation endeavors? Are you ready to jump in?

AI and Creativity

One example of AI is in the writing of stories for Associated Press

AP uses deep learning in its Wordsmith tool to generate millions of news stories for financial services and sports, outpacing the output of all major media companies combined. Wordsmith has been trained on articles written by others that were redeemed as “good.” It plans to offer medium-specific stories, such as those published online and read on the air by newscasters, publication-specific stories separately tailored for publications like the New York Times and Buzzfeed. The question I ask myself is, could they write the script for my show? Not really, because my show isn’t triggered by press releases, and based on a specific style. So what is the downside of this? No one is reading the press release to validate it manually.

One of my hobbies is to write instrumental music I use during ideation and brainstorming workshops. They recently came out with an experimental AI plugin from Magenta Studio. I’ve been experimenting with it to see if it can be a tool to help me create better instrumentals

Magenta provides a pretty easy way to get started with AI applied to create music. Another example of AI applied to creativity is when C...