Justin Timberlake recently released a brand new single from his forthcoming album, Man of the Woods, entitled Filthy. The video depicts a deep learning conference in the future date of 2028 in Malaysia that features artificial intelligence performing both spectacular and suggestive tasks and dance moves on stage before a captivated audience. This music video kicked off the year with a theme that has been gaining steam - the continual rise and development of artificial intelligence and technology.
From BostonDynamic's Atlas to the sudden talk of various sex robots in the news, you cannot escape the very reality that not only are these advancements in technology very real but they are becoming aware.
The internet of things is defined as:
Simply put, the internet of things, or IoT, is what the machines use to stay connected.
It's another topic for another day if, when, and how we should consider artificial intelligence beings sentient. Frankly, that feels like an ethical discussion I am unqualified to moderate. However, from my vantage point, there is one aspect of the IoT that anyone can take advantage of - machine learning.
Humans and machines share the greater internet. In fact, machines are more aware of our habits and our tendencies when we are on the internet. Unlike our human counterparts, machines in some form are always watching and remembering what we do.
So what does that mean for us, and how can we utilize that to our advantage as marketers?Imagine knowing what the machines know. Imagine seeing the habits that you and I manifest online, that the machines can see.
If you were a dentist, how much of an advantage would it be for you to know who in your local area is reading reviews of cosmetic dentistry, liking pictures of whitened teeth on Instagram, and even using their search engine to search for local cosmetic dentists?
How valuable would that be?
How valuable would it be if you ran financial services agency to know who in your area has recently retired, or just switched jobs and needs to move their 401k money? You may argue that not all of these people will post their intentions to social media, but they will do their homework. They will do their research. It may not even be a conscious effort, but they will. And when they do, the machines will know.
Maybe it's time to know what the machines know. Chances are they will know more than your competitors. Now let's talk more about this machine learning and how it can actually work for you... or let's save that for another day.