How many different faces does AI have? It seems talk of Artificial Intelligence is everywhere today. It has been with us for more decades than we can count. Suddenly, Chatbot technology like ChatGPT and Bard is all everyone can talk about. However, if we pull the camera back, we can see the larger impact this technology has had on our society already. So, what what can we expect going forward?
Taking a closer look at AI does not clear things up. What we learn is, there are countless different slices of the AI pie. Depending on who you talk with, each of these are breathtaking and industry changing. And each will play a role in reshaping our society and our lives moving forward.
Countless different slices of Artificial Intelligence pie
Some say there are three kinds of AI: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).
Others say there are many more like Reactive Machines, Limited Memory, Theory of Mind, Self-Aware and more.
Still others point to different kinds of AI we hear about called Generative AI, Predictive AI, Prescriptive AI and more.
Bottom line, there are more different categories of AI than we can wrap our mind around. This does not make it easy for investors, industry watchers, executives, workers and so on to wrap their mind around it and stay on the growth track.
The goal is to find a company and technology on the rising side of the growth curve.
AI Chatbot, OpenAI, Microsoft ChatGPT, Google Bard
So far, AI has done so much good for our world. Going forward, that good will continue, but there are also many areas to be concerned about.
The general media does not really understand. They lump all AI together into the privacy invading and societal reshaping model. While this is true, it is still just one slice of the pie.
It is true, there are areas in the world of AI we need to be wary of.
Even the head of OpenAI, Microsoft and Google who are some of the leaders in Chatbot technology like ChatGPT and Bard, say they don’t understand this new technology.
In fact, companies like these are increasingly warning their employees not to use it based on fear of the unknown. Fear of lost company secrets. Fear of doing something that cannot be un-done. Just fear.
They are basically saying, we cannot trust this new technology and what it will do. And if they cannot trust and do not understand, what about the rest of us?
Every company, technology must continue to ride AI growth wave
We should all pay attention to this as Chatbot warning flags are waving in front of all our faces.
That being said, there are other AI technologies which have proven themselves and are improving our lives, helping companies grow, saving lives and more.
Some are new and others have been around. Some continue on the growth curve, while others let the industry go past them, leaving them behind, like a wave on the beach at the ocean.
It’s important for every company and technology to successfully ride the AI growth wave. If not, it will continue move forward, leaving you behind. This has happened many times of many decades.
IBM Watson exploded onto the AI scene early, then vanished
IBM Watson is one of these companies in the AI space. After many years of development, suddenly it appeared on the TV game show Jeopardy in 2011 and took the world by storm. Back then, most people never heard of Artificial Intelligence except for sci-fi movies.
Next, they held the IBM World of Watson held in Las Vegas and wowed the world once again. It appeared as though IBM would rule the AI universe.
Yet today, we no longer hear about IBM Watson. The AI growth wave has moved beyond Watson, leaving them behind in the dust.
Juniper Networks uses Mist AI, machine learning and data science
Juniper Networks Mist AI is a great example of how a networking company is integrating AI into their products to make them not only easier to use, but to manage them at a much deeper level than ever before.
They say Mist AI uses a combination of artificial intelligence, machine learning and data science techniques to optimize the user experience and simplify operations across wireless, wired and SD-WAN domains.
This is the kind of solution that enterprise customers are looking for in their networks.
Actifai helps broadband providers increase earnings with AI
At a recent meeting with Ned Brody, the CEO of Actifai, I learned about this young company and the way they were invited by another company, to solve a problem.
They wanted to improve the results and numbers from their customer service staff and sales force.
Brody said the AI solution he created worked. That started the growth wave the company has been riding over the past two years.
Using AI, he developed a new way to make workers better at sales and customer service. Since then, Actifai is now working with a growing number of broadband service providers of all sizes.
This sounds like the kind of growth opportunity which is long-term. The next natural question is this. Will another solution be created and eventually take off, or will Actifai continue to grow?
That’s the question to ponder for every AI company, in every different slice of the very large and ever-increasing pie.
AI is both long-term and short-term growth opportunity
That’s the beauty of AI. It has been with us for many decades in many different forms. It has gone through many ups and downs, but we always move forward.
In recent months, the AI story that has captured the imagination is around Chatbot technology. It has the whole world caught up in all the excitement and concern. Yet this is just one slice.
As important as Chatbot technology is, remember this is just one of countless different slices of the AI pie.
Some growth waves will last a long time. Others will be short lived, and replaced by the next, big idea.
Understanding the difference is key. That means we need to understand the different slices of the AI pie. The areas which are on the growing side of the growth curve, vs. those which have crested and are falling.
AI has already been with us for decades. The industry will always be full of all these different slices of the pie. That’s why it is important to follow this area very closely and develop a strong understanding of the continually changing AI space.
That’s true whether you are an investor, inventor, executive, worker, member of the media or analyst.
