AI is the new electricity. just as electricity started being used to power everything one hundred years ago, AI is being added to everything now.
The advent of electricity changed everything, including transport, factories, and more.
Similarly, AI will change the knowledge economy.
For marketers, the coming changes are important because your business will benefit from being aware of AI-based tools and techniques before your competitors are.
If you work on the agency side, you want to help your clients lead with AI.
Although marketers don’t need to understand AI in great detail, they do need to know enough about AI to spot opportunities.
The Hollywood version of AI features robots with guns turning us into paperclips. The reality is more mundane and incremental. We’re a long way off from AI that can run Google campaigns or send your kids to school and cook dinner.
However, artificial narrow intelligence (also shortened to narrow intelligence or ANI) is likely to start replacing an increasing number of human tasks.
You can think of ANI as incredibly smart software.
In a very optimistic version of the future, smart machines will enable us to do things that we can’t do today or will do tasks we can do much, much better.
In other words, ANI will enable us to hand over menial tasks so we have more time for creative, strategic, or compassionate work.
What Is Artificial Intelligence?
We can defines AI as the science of making things smart. IT includes robotics, natural language, vision, and much more.
Machine learning refers to computers that can learn without being explicitly taught.
Machine learning is an area of AI that’s taking off right now, especially a subcategory called deep learning.
To illustrate, how would a computer learn what a chair is? With traditional programming, you’d use conditional statements such as “If the thing has four legs, a seat, and back, then it’s a chair.”
The code would need to account for chairs with and without arms, wheeled chairs, and so on.
The resulting program would require lots of code, and if one line had an error, the code wouldn’t work.
Machine learning offers a new way to teach a computer what a chair is.
Essentially, you give the machine thousands of examples of chairs and non-chairs (like tables, dogs, and trees) so the computer understands what a chair is and isn’t.
Over time, the machine learns to infer whether something is a chair.
Over the past 5 or 10 years, this technology has become quite accurate.
Today, you see this technology used to help people shop. When you hold up a product to a camera, the Pinterest or Amazon apps or Google Lens (via the Google Photos app on iOS) can recognize the product and try to find it for you. You can point a Google Lens camera at your friend wearing a dress, and it will find a bunch of similar dresses and tell you where you can buy them.
In addition to recognizing items, AI can make predictions. Amazon uses predictive AI to tell you things like,
“People who bought this book also bought this book.”
Similarly, Netflix suggests TV shows or movies that might interest you. Netflix even changes cover thumbnails using predictive AI.
Based on your viewing habits, it predicts which thumbnail will appeal to you the most.
The machine learning in self-driving cars is also solving prediction problems.
The cars made by Elon Musk and Tesla have driven over 2 billion miles combined!
The data from those trips is sent back to Tesla where it’s fed into the Tesla computers for the purpose of making the car’s autonomous driving Ai smarter. The more the cars drive, the smarter and safer they get!
The future could be a bright one, where AI helps us to solve climate change, cure diseases, solve world poverty, world pollution, design systems to protect the earth from asteroids and eventually help us to travel to the stars.
I like to think 99% of people are good and that the power of AI will be used for the betterment of all.
There are marketing tools available now that you can use to market and build your business, you brand and your influencer status.
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