Artificial Intelligence (AI) is all about potential because Artificial Intelligence (AI) isn’t even mainstream yet and it is already very popular.
Artificial Intelligence (AI) has a long way to go in terms of development and it is still one of the most influential bits of technology out there.
If you look at the timeline of the development of Artificial Intelligence (AI) and its history then we only have reached a stage where AI is slowly but surely becoming something very reliable.
AI models are slowly but surely reaching their second and third stages of evolution with important developments like supervised learning as well as Generative AI and much more.
However, there is still a long way to go when it comes to the development of Artificial Intelligence (AI) and how it can be even more impactful to society and different industries.
So, before we get into that and talk about the ways in which AI can and will impact the future, let us look at a little bit more on the evolution of Artificial Intelligence (AI).
Evolution Of AI Simplified
When we talk about Artificial Intelligence (AI), we need to recognise how it was started because the AI that we get to see today is very different from the AI that was the first documented success in terms of a computer program.
We are talking about Artificial Intelligence (AI) then we have to start our journey with Alan Turing and his contributions to computing and his definition of intelligence in a computer. He is also the founder of the Turing test which would determine artificial computer thinking and pave the way for AI later on.
This was followed by the year 1955 when the actual term Artificial Intelligence (AI) was coined by computer scientist John McCarthy.
This is then followed by a few years of early computer developments and autonomous technology which is followed by the AI winter. It was a period of slowdown of AI advancements but then things kicked off in the late 90s and early 2000s. This is when we see a renewed interest in Artificial Intelligence (AI) and autonomous technology.
We must also consider that in the early 2010s, this is when we saw the popularity of smartphone assistants which can be definitely classified as Artificial Intelligence (AI) in some way or another.
We can then move on to the development of chatbots and also the early stages of companies like Open AI etc.
The rest we probably know.
Here Are Our Predictions for The Future of AI
Business Automation
We predict that Artificial Intelligence (AI) is going to play an even more important role in business automation.
Every business out there has its fair share of simple but repetitive tasks. These simple tasks are not similar enough which means businesses can’t just utilise software because they need humans to do them.
That is why we estimate that businesses are going to utilise artificial intelligence to improve the situation of these services and processes.
if you look at this survey conducted by McKinsey & Company then you can clearly see that companies are interested in adopting AI.
In fact, Artificial Intelligence (AI) has produced results and has actually resulted in the improvement of revenues and reduction of costs in companies.
This helps us understand that companies are not only willing to adopt AI into some of those company functions but they are also very much willing to invest in AI development because it is guaranteed to reduce operational costs.
Manufacturing Automation
Artificial Intelligence (AI) can be revolutionary in the manufacturing sector, especially in the area of 3D printing and much more.
Imagine a situation where your machine operator can simply talk to the AI-powered lathe and tell it what kind of dimensions they are looking for and the robot gets to do everything.
This will basically allow machinists to talk to the machines and talk to the final product and make changes and fine-tune tolerances that were previously impossible or too complicated for regular use.
We are definitely going to see the involvement of Artificial Intelligence (AI) and Machine Learning(ML) in large-scale manufacturing and small-scale model manufacturing with very high integers of precision and at very reasonable costs.
When it comes to AI in manufacturing, we are not just looking at industrial robots that can be programmed to do certain tasks but we are looking at entire manufacturing programs capable of creating strategies for manufacturing.
This means you simply have to write a prompt and give dimensions specifics to the AI model along with pressure requirements and other specifics and the AI model is going to do everything for you.
While such solutions might exist in secrecy and they are definitely being developed as we speak but they are yet to come into the mainstream on a scale that can be utilised by everyone.
Custom Education
When it comes to the area of education, there are many flaws with the traditional education system as we know it but let us look at one of the biggest flaws of traditional education.
Traditional education is designed to be a one-glove-fits-all solution for each and every student. One syllabus and one curriculum are followed by thousands of students in countries following traditional education.
While that is the best solution for right now, there is a solution that can be even better for every child out there and that can only be possible with AI.
Our prediction is that Artificial Intelligence (AI) will make it possible to create custom syllabuses for each and every student based on their knowledge comprehension capabilities.
It will not just be a syllabus made simple or complex for a child but it will be an entire custom syllabus with totally different teaching techniques for each child.
This will make it possible for every child to physically learn the same subject and ideas but in totally different ways to according to their needs.
While yes there are challenges to it such as data privacy and security as well as academic integrity, the benefits of AI in education are also amazing and we predict that we are definitely going to see more involvement of AI in education.
Autonomous Driving
Imagine a world where you do not have to drive anywhere and you can just finish up the office work in your car while knowing for certain that you are going to reach your destination.
Imagine a world where you always have a dedicated driver ready for your kids to drop them off at school and come back and pick you up for the office.
That is exactly what self-driving AI-powered automation is going to look like in the future and our prediction is that this is definitely going to be a reality.
This future is actually quite an easy possibility with minor modifications to existing cars in the form of different IoT devices as well as sensors and a connection to the internet.
This combination of IoT devices and sensors coupled with custom AI models can very much bring out autonomous driving to a very safe reality.
The problem with existing autonomous vehicles is that they are algorithm-based which means they are not really smart but they are taught how to deal with situations and trained for as many situations as possible.
The introduction of Artificial Intelligence (AI) is going to not only help the self-driving model follow preapproved responses but it will help the self-driving model create its own responses depending on the situation.
Defence Technology
Artificial Intelligence (AI) has multiple applications in the defence industry and we predict that these applications are going to venture out into many industries and functionalities.
We are going to see AI in defence being used heavily in logistics in the form of the management and deployment of troops and their supporting equipment.
We are going to see Artificial Intelligence (AI) being used in everything from mine-clearing operations and other operations that are genuinely risky to humans to operations that are repetitive and do not need soldiers.
We are also going to see the pattern recognition capabilities of AI being used for surveillance in military applications whether it is the comparison of geo-data for hostile structures or identification of enemy movements.
Artificial Intelligence (AI) can also be used for applications such as AI in manufacturing in the form of better armour plates for soldiers as well as better and more accurate offensive instruments.
Content Creation
We predict that AI is going to take content creation to a whole new level as we are already seeing Artificial Intelligence (AI) being used in the form of image and video generation as well as caption generation.
We predict there will come a time when entire videos will be generated with the help of AI and AI will be able to create entire new sections and angles of videos that do not even exist in reality.
AI content creation will make it possible for everyone out there with a good version to create content without skills such as editing or animation.
This will lead to even more accessibility for everyone in the world to generate high-quality content without spending tons of money on content creation teams.
Yes, there are some concerns that the audience might not be very kind during the transition period of AI-generated content but we predict that will pass.
This is going to provide an excellent opportunity for brands to do content personalization and even create entirely custom content for different demographics and even individual clients.
This will unlock a whole new spectrum of content creation and it is going to transform the world as we know it.
Cybersecurity
Traditional cybersecurity is not up to the task when it comes to identifying each and every attack because there are just not enough human experts out there to deal with everything all at once.
That is why we predict that AI in cyber security is going to completely change the game when it comes to the identification of malicious behaviour.
AI will enable companies to take custom cybersecurity measures and the best thing about AI is that AI cybersecurity models will only get more accurate and more effective with each attack.
The introduction of Artificial Intelligence (AI) in cyber security also means that the AI models can create their own solutions and patch up data vulnerabilities as well as sort out dangerous behaviour automatically.
This means we can expect AI cybersecurity systems in the future to deal with cybersecurity issues by themselves without any expert or human intervention.
This ultimately will lead to an online environment where everyone is going to be safe and Bank transactions are going to be safe as well as visiting a website is going to be safe.
Healthcare
One of the biggest issues with the current healthcare system is that there are no unified databases for patient records that can be accessed by doctors throughout the world.
This is because different countries and different healthcare institutions utilise different methods for maintaining patient data.
That prevents the sharing of information and is a big problem in the healthcare sector.
Artificial Intelligence (AI) can be utilised to convert manual and digital data into versions that are easily accessible by every healthcare worker and vendor in the world.
We predict that AI in healthcare can be revolutionary not just from the administration point of things but also directly in the healthcare aspect of things.
AI integration into existing healthcare frameworks is easier than you think it just needs support from the traditional healthcare industry in order to be implemented everywhere.
We hope this blog has helped you understand the potential future of Artificial Intelligence (AI) and how it has the ability to transform multiple industries and ultimately the whole world.
And if you are someone who likes to stay ahead of the curve when it comes to technological advancements and you would like to implement AI into your company before it becomes mainstream then we are here to help you.
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