Artificial Intelligence

7 Things You Probably Didn’t Know About AI Engineering

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As we all know, the business world is changing at a rate faster than you can imagine. To cope up with it, we need to adopt dynamic technologies and engineering practices so our businesses keep running seamlessly. Out of the numerous emerging technologies, one of the most important and significant one is Artificial Intelligence Engineering or AI Engineering. If you are new to this field, do not worry, as everything that you need to know about AI Engineering will be discussed in this blog.

Let us start with the basics: What is AI Engineering?

AI entails behaviour and mannerisms similar to that of a human being performed by a machine. AI Engineering is simply the way it works and functions.

Machine learning mechanism is a deep-rooted technology that has emerged in today’s world like any ordinary technology while Deep Learning is a subcategory of machine learning and is one of the fastest-growing applications of AI used to solve problems that were previously too complex to be solved.

The machine, for example, a computer, learns, picks up, and mimics a human being and their job to ease their duties. Each time new data is entered into the machine, it corrects itself and ensures that the previous errors do not resurface. However, though done artificially, these processes require intelligence engineering by humans.

That’s where AI Engineers come in and they are the ones responsible for coding, developing and programming of machine learning algorithms that will be followed by the system.

 

Is AI Engineering the most trending thing now?

Although AI might seem to be fairly simple, it is actually a complex algorithm of networks and needs to be programmed and developed properly so that it can work clearly, just like the neural networks of the human brain. If you’re wondering whether the field of AI Engineering will be respectful or trendy in the future, let me just explain one simple thing that will give you your answer.

Aside from the business world, our day-to-day life also revolves around machines and technology. We are dependent on machines to such an extent that there are days when we tell our automated Alexa or Google to turn off our lights because we have simply forgotten or are too lazy to get up. I’m sure most of us can find this relatable at some level.

Now, who do you think develops and programs these automated systems if not AI engineers? AI Engineering has become an important aspect of today’s life that simply cannot be ignored. In it, ML algorithms need to be run to ensure that they are error-free and here’s where the AI Engineers jump in! Hence, I think it’s fair to say that AI Engineering is certainly a trending thing today.

Before adopting AI into your business or even your daily life, you need to know a few things about it that you probably didn’t know. To help you gain a better understanding of the whole concept, here are 7 major things that you must know about AI so that AI Engineering becomes a cakewalk for you:

1.      Natural language processing (NLP) is the key to AI

Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that studies how machines understand human language. Probably, the most popular examples of NLP in action are virtual assistants, like Google Assist, Siri, and Alexa. With NLP, machines can make sense of written or spoken text and perform tasks like translation, keyword extraction, topic classification, and more. But to automate these processes and deliver accurate responses, you’ll need machine learning.

2.      AI-powered robots can think

AI can be incorporated into a machine as well as a robot. It can be any machine that can understand human activities and mimic them. AI Engineering has soared up to such a level that robots powered by AI can think just like a normal human brain. With proper coding and programming, they can even scan the environment and send information to one another. ML algorithms like classification and regression are being incorporated in robots just like in the machines to further accelerate this process.

3.      AI is an application and cannot cause the end of technology

Just like android has applications, AI is also an application. It is an application that fuels more power to the computer and effectively manages data. AI crashing will not lead to an end of the technology world because there are things beyond AI as well. Though AI Engineering is immensely important to survive in today’s competitive world, it is, however, not the ‘only’ thing needed for survival. As foreseen, the future is without a doubt, all about AI!

4.      AI is quickly becoming an Investor’s favourite

In today’s world, several businesses are AI-driven. This is not only because it is trending in the technology world, but also because angel investors and other big companies are now interested in AI companies. If you are considering starting your business in the ‘hot market’ amidst competitors, then there isn’t anything better than having an AI company. Statistics and research show that start-ups that have AI technology are more successful in the long run than others.

5.      AI is not as smart as you think

Do not be worried after reading this point because it has an underlying meaning. As mentioned earlier, AI is just an application that needs to be developed, coded and programmed accurately by the AI engineer so that it runs and works properly. Mere data input in AI will not make your work easy. AI Engineering will be useful only when it can work independently without any hassle.

6.      AI is polarizing

AI is not only trending in the business and corporate world, but it is also gaining popularity in the educational field. Several AI research and development institutes have been founded recently and investors are ready to pour in money particularly in these sectors. Whether it is a big company training you for AI or you’re selecting this field for better knowledge and experience, I can positively say that AI, as a technology, is definitely polarizing in this world.

7.      AI is gradually conquering fields like transportation

One of the recent advancements in the world of transportation is the invention of automatic cars or auto pilot cars. This could not have been possible without the help of some top techniques of AI, which help the car to perform in an automated way. Therefore, it is fair to say that AI has not only captured the corporate and business world, but the transport world as well.

So, what kind of impact does AI have on business or company?

If you facilitate proper and accurate coding and developing of AI in your firm, manual labour will decrease to a massive extent. The only people needed then would be the AI engineers to control the functions of AI. Whether it is being creative or quick in your allotted work, AI can do it all.

Moreover, apart from your human labour, your company when driven by AI will attract investors because everyone knows that the future lies in the hands of AI. For a company dependent on AI, the one thing that needs to be perfect is AI Engineering. The techniques of machine learning, deep learning and ML algorithms like classification and regression is just a mere supplement if your company is equipped with the best AI engineers!

Let me conclude by saying that considering all facts, it is quite evident that learning and getting equipped with AI Engineering will take some time. However, it is absolutely essential to adopt AI, keeping in mind the future and the rapidly evolving technological world that is approaching us. Like everything else, AI technology also has positive as well as negative sides. Nevertheless, there is a great scope for learning about it. The AI future is destined to leave a good impact on society rather than a bad one! Therefore, why not incorporate it now and future-proof your business instead of struggling later on? Yes, exactly that is AI for you!

Reach out to us at Nitor Infotech to tap into the potential of AI and how we leveraged it to help a leading Data Analytics company reduce data management and parsing costs by 90%.

About Sadhana Sharma

Lead - Digital Marketing

  • AI Engineering
  • Cognitive Engineering
  • Machine Learning
  • NLP
After exploring a career path in MBA IT, Sadhana made her way back to her first love- Marketing and comes with 5 years of experience at Nitor. She always believes in finding a way or making one. She is a lover of naps, cookies, and beaches, and is almost always multitasking. When she isn’t working, you will find her exploring the outdoors with friends and family. Other than that, she can be found learning new things, watching Netflix, making plans for trips, and drinking too much tea.