Thanks for your thoughts. I think I need to clarify my position. Currently, I see a lot of marketing for vendors in the auto space using AI.
I get a little annoyed because when I think of AI I think of " Terminator ", my mentions of Google and IBM previously. That could be classified as my issue. You are correct that currently you can basically call any SaaS offering AI based upon your Webster's reference.
To Jon Berna's point above.I would love to know more about how Car Story uses AI in their products.
In reference to the gymnast joke. I didn't say I was qualified to teach gymnastics. I said I could call myself a gymnast.
@Zhendrix,AI can’t distinguish between good data and bad data on its own, and the algorithms powering AI must assume the data being analyzed is reliable and clean. Bad data, at best, will produce results that aren’t actionable or insightful. Bad data can lead to results that are misleading. In addition to the time and money wasted analyzing bad data, AI can encourage a company to take steps that are even more wasteful. With many dealers having a glut of data, the bigger question becomes: How is the quality of the data?
I think you could fit "Responsive" somewhere.Almost... every 5 years or so, product managers run out of ideas and decide to take another stab at attribution. I would continue your timeline:
2018: Digital Retailing
Look for attribution's next round of start-ups coming to an NADA near you in 2022, featuring, of course, A.I.