Have you been finding yourself wondering where the world is going with all these scaringly good innovations involving Artificial intelligence (AI), Machine learning (ML), and more? Don’t fret – You’re not alone.

From self-driving cars to medical breakthroughs and voice generators that are indistinguishable from the real thing, AI is playing a growing role in our lives.

Almost everything in our daily lives uses some sort of AI behind your curtains, whether it’s your Roomba or your smartphone.

It’s becoming clear that AI isn’t just a fad – it’s here to stay and will likely become even more pervasive as time goes on.

However, this current AI is still referred to as narrow AI, or as the cool folks say it, weak AI. It’s interesting to see how much AI will evolve in the coming years, and if you’re wondering what the future holds, make sure to read till the end!

AI Systems and Their Types

To begin with, let’s start with briefly describing what Artificial Intelligence systems are, for the ones that still don’t know.

In a nutshell, Artificial Intelligence (AI) systems are computer programs designed to mimic human intelligence and decision-making processes. They use advanced algorithms to analyze and interpret massive amounts of data, recognize patterns, and make predictions or decisions based on that analysis.

In the current rat race of AI, individuals, companies, and corporate companies – All of them are striving to create systems that imitate human behavior, something which we refer to as Human Intelligence AI.

Although this human-level AI isn’t possible right now, it will allow AI to replicate human behavior and make decisions using their thinking.

But that’s just one type of AI system. As a general rule of thumb, AI systems are divided into three definite types:

• Narrow Artificial Intelligence: This is the current level of AI. These systems are restricted to the information provided to them and make decisions according to this information.
• Artificial General Intelligence (AGI): Artificial General Intelligence is the idea of creating a machine that can not just specialize in one task, but think and learn like a human brain. It’s the current frame of AI research, one that can bring a major change in the way we see the world.
• Super Artificial Intelligence: As the name suggests, this type of AI surpasses the abilities of a human, and possesses cognitive abilities that we are yet to understand.

What Did Artificial Intelligence Look Like 10 Years Ago?

Ten years ago, Artificial Intelligence (AI) was a buzzword that was restricted to science fiction movies and books. Though, mind you, there were still applications of AI in various industries – just not as mainstream and commercial as they are today.

The idea for artificial intelligence was planted in 1950 when Alan Turing devised the Turing test, which stated that if any machine can carry a conversation that is indistinguishable from the real thing, then it’s safe to assume that the machine has thinking capabilities. Today, we see platforms like ChatGPT and Jasper getting close to achieving that.

Probability-based methods, as well as Bаyesiаn methods for solving problems, formed the basis of AI that we see today, and they were developed way back in 1990. Some of these methods from the olden days are still in use, especially with systems that revolve around chess games, neural networking, and more.

Future Of AI – What Can Be Expected?

Now that we’re done with the present, and some AI tidbits that stretch towards the past, It’s time to focus on what’s ahead. How will AI evolve, and how do you stay ahead of AI in an ever-changing world?

We’ve explained before that AI is the new buzzword in every industry known to man these days. In that sense, the following are some key areas that will be revolutionized Artificial Intelligence.

AI In Healthcare Sector

Artificial Intelligence is causing waves across multiple industries, and the healthcare sector is included. Incorporating AI technology into healthcare has redefined the healthcare process, from patient diagnosis to treatment.

Many doctors have taken to the internet after experimenting with ChatGPT to diagnose patients after inputting their symptoms and previous medical records, with the language model being right about 30% of the time.

“OpenAI’s chatbot did a decent job of bringing up common diagnoses I wouldn’t want to miss—as long as everything I told it was precise and highly detailed” – Joshua Tamayo-Sarver. This doctor did a similar experiment with ChatGPT after it passed the US Medical Licensing Exam.

AI For VoiceOvers

This is something that has taken off in the past few years. Many software applications on the internet, including names like Murf AI, ElevenLabs, and more, allow users to convert text into audio that is fairly indistinguishable from the real thing.

Though with the current level of AI, there’s still some roboticness in the voices that are spewed out AI models such as these. However, as the year progresses, there’s a possibility that audio and video production will be completely taken over AI that doesn’t require human intervention. Those that stay ahead in the game will be able to keep their jobs.

Artificial Intelligence In the Advertising Sector

Artificial intelligence is revolutionizing advertising in ways we never thought possible. With AI algorithms that continuously learn from consumer behavior, AI can now personalize ads to the individual level, ensuring that advertisements are relevant and timely and more effective in driving conversions.

Instead of spending thousands of dollars in A/B testing for strategies that work or not, AI systems can be used to access historical data from marketing campaigns, see what works, and use only those to get a better return on investments.

Moreover, AI helps brands to reach their target audience analyzing data to identify patterns and preferences that provide valuable insights into behaviors and patterns. This technology enables brands to engage customers based on the language and tone that resonates best with them.

In the foreseeable future, we can quickly expect AI to have a more dominant role in the marketing and advertising sector, freeing advertisers to focus on strategic thinking and creative problem-solving. 

AI In Banking Sector

The current state of the financial sector is a big reason why the rich get richer, while the people lower in the money chain get poorer and poorer as the world succumbs to inflation.

Though bankers have been getting automated from time to time as technology has advanced, those with more money can still sign up for expensive services to manage their money.

With such systems that are fed big data about the financial sector, it can make better predictions

about how and where you should be investing, which will inevitably even be the investing playing field that the big fish run in the pond.

Bottom Line

It’s essential to stay updated with the world’s modernity, especially when it’s systems that fit into your everyday life.

Sure, we’re still far from having full-fledged intelligent robots roaming the streets. Still, if you’re unaware of the applications and progressions in the AI space, you’ll be quickly left behind and most likely replaced a machine that does the same menial work as you do.

It’s interesting to see how the AI space will evolve in the coming years, and we’ve done a good job of highlighting key areas that will evolve the most in the coming years.