It’s Friday September 14, 2046, and you are at the airport getting an alert from your car that your 10,000 mile service is due, but something peculiar comes with your alert. It’s a question: your car asks you if you wish to have the service taken care of within the next 10 days, or after.
You respond “in the next 10 days.”
Your car’s smart system contacts the car dealer’s smart system and arranges everything, but first it checks your calendar and figures out if you are out of town on any particular day. It discovers you will be traveling for the day on Monday the 24th, so it books your car service to the airport from the service department, your airline and hotel reservations, and your dinner reservations with your client. It also updates your social profiles for you while sending you relevant information about where you are going, whom you know there, whom you have not been in touch with for a while that may be in the area, and a plethora of other intelligence useful for you.
Simultaneously, while you are waiting at the airport the activity on your social networks suggests a problem with the recent roll out of your new product, so your business intelligence system at the office sends you an alert, also with a question: “Would you like me to resolve this issue?” You reply, “Yes.”
The system engages with consumers to gather information on the issue, and then collects the relevant data points and alerts R&D, marketing, sales, and the CFO. This isn’t just any alert they receive – this is a smart alert with resolution suggestions and action items built into it.
You get on your flight, which was picked for you specifically with safety and punctuality data in mind. After 4 hours, you land and receive another alert at 6:15pm, saying, “Product problem resolved, oh and by the way the car service for your trip on the 24 has been arranged, along with 3 other items, when you drop off your car for service that morning.”
Sounds like a dream right? Or is it a nightmare?
There is enough data out there on just about everything from weather patterns, markets, brand sentiment, consumer behavior, company performance across multi-platforms and environments, how much energy you use, how often you watch TV, read, sleep, and so on. The data isn’t missing. So what’s missing?
What’s missing is the connection point’s intelligence to make sense of it all in a way that can be applied to everyday life, but the discovery of the missing link is not too far way. In fact, it was already discovered almost 5,000 years ago and documented.
What am I talking about?
I am talking about quantum mechanics. The laws of quantum physics and relativity suggest that everything is interconnected, in one form or another, and that one action can cause a ripple effect reaction elsewhere (aka The Butterfly Effect).
“Wait a minute, you say, quantum science was not discovered almost 5,000 years ago, this is a recent discovery.” A book written almost 5,000 years ago called the Sefer Yetzirah (Book of Formations), suggests the interconnectivity of not only human beings but all animate and inanimate objects across the universe.
Simply put, everything has a pulse, an energy pattern, or one could say a soul. If all things are connected, then it would only be logical that data objects from either a car’s black box or an energy grid are also interconnected. Right?
If machines can be taught to develop relationships, and respond to changes the way we as humans do, would AI introduce a whole new world that drives us forward? Notice I said “relationships”, not just connection points, but as in emotionally connected relationships capable of reason, logic, and perhaps even feelings.
It’s been well established today that our surroundings influence how we manifest our own reality, and that what we think dictates how we experience reality.