7 Things You Probably Didn’t Know About AI Engineering | Nitor Infotech
Send me Nitor Infotech's Monthly Blog Newsletter!
×
nitor logo
  • Company
    • About
    • Leadership
    • Partnership
  • Resource Hub
  • Blog
  • Contact
nitor logo
Add more content here...
Artificial intelligence Big Data Blockchain and IoT
Business Intelligence Careers Cloud and DevOps
Digital Transformation Healthcare IT Manufacturing
Mobility Product Modernization Software Engineering
Thought Leadership
Aastha Sinha Abhijeet Shah Abhishek Suranglikar
Abhishek Tanwade Abhishek Tiwari Ajinkya Pathak
Amit Pawade Amol Jadhav Ankita Kulkarni
Antara Datta Anup Manekar Ashish Baldota
Chandra Gosetty Chandrakiran Parkar Deep Shikha Bhat
Dr. Girish Shinde Gaurav Mishra Gaurav Rathod
Gautam Patil Harish Singh Chauhan Harshali Chandgadkar
Kapil Joshi Madhavi Pawar Marappa Reddy
Milan Pansuriya Minal Doiphode Mohit Agarwal
Mohit Borse Nalini Vijayraghavan Neha Garg
Nikhil Kulkarni Omkar Ingawale Omkar Kulkarni
Pooja Dhule Pranit Gangurde Prashant Kamble
Prashant Kankokar Priya Patole Rahul Ganorkar
Ramireddy Manohar Ravi Agrawal Robin Pandita
Rohan Chavan Rohini Wwagh Sachin Saini
Sadhana Sharma Sambid Pradhan Sandeep Mali
Sanjeev Fadnavis Saurabh Pimpalkar Sayanti Shrivastava
Shardul Gurjar Shravani Dhavale Shreyash Bhoyar
Shubham Kamble Shubham Muneshwar Shubham Navale
Shweta Chinchore Sidhant Naveria Souvik Adhikary
Sreenivasulu Reddy Sujay Hamane Tejbahadur Singh
Tushar Sangore Vasishtha Ingale Veena Metri
Vidisha Chirmulay Yogesh Kulkarni
Artificial intelligence | 05 Mar 2021 |   14 min

7 Things You Probably Didn’t Know About AI Engineering

featured image

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%.

Related Topics

Artificial intelligence

Big Data

Blockchain and IoT

Business Intelligence

Careers

Cloud and DevOps

Digital Transformation

Healthcare IT

Manufacturing

Mobility

Product Modernization

Software Engineering

Thought Leadership

<< Previous Blog fav Next Blog >>
author image

Sadhana Sharma

Manager

After exploring a career path in MBA IT, Sadhana made her way back to her first love- Marketing and comes with 6 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.

   

You may also like

featured image

10 Heuristic Principles in UX Engineering

Say, you’ve built a modern, cutting-edge application. It has a complex, multi-layered user interface (UI), that is the basis for some amazing features. Since you’re the one who has built the applic...
Read Blog


featured image

ETL Testing: A Detailed Guide

Just in case the term is new to you, ETL is defined from data warehousing and stands for Extract-Transform-Load. It covers the process of how the data is loaded from the multiple source system to t...
Read Blog


featured image

Getting Started with ArcGIS Online

GeoServer is an open-source server that facilitates the sharing, processing and editing of geospatial data. When we are dealing with a large set of geospatial d...
Read Blog


subscribe

Subscribe to our fortnightly newsletter!

We'll keep you in the loop with everything that's trending in the tech world.

Services

    Modern Software Engineering


  • Idea to MVP
  • Quality Engineering
  • Product Engineering
  • Product Modernization
  • Reliability Engineering
  • Product Maintenance

    Enterprise Solution Engineering


  • Idea to MVP
  • Strategy & Consulting
  • Enterprise Architecture & Digital Platforms
  • Solution Engineering
  • Enterprise Cognition Engineering

    Digital Experience Engineering


  • UX Engineering
  • Content Engineering
  • Peer Product Management
  • RaaS
  • Mobility Engineering

    Technology Engineering


  • Cloud Engineering
  • Cognitive Engineering
  • Blockchain Engineering
  • Data Engineering
  • IoT Engineering

    Industries


  • Healthcare
  • Retail
  • Manufacturing
  • BFSI
  • Supply Chain

    Company


  • About
  • Leadership
  • Partnership
  • Contact Us

    Resource Hub


  • White papers
  • Brochures
  • Case studies
  • Datasheet

    Explore More


  • Blog
  • Career
  • Events
  • Press Releases
  • QnA

About


With more than 16 years of experience in handling multiple technology projects across industries, Nitor Infotech has gained strong expertise in areas of technology consulting, solutioning, and product engineering. With a team of 700+ technology experts, we help leading ISVs and Enterprises with modern-day products and top-notch services through our tech-driven approach. Digitization being our key strategy, we digitally assess their operational capabilities in order to achieve our customer's end- goals.

Get in Touch


  • +1 (224) 265-7110
  • marketing@nitorinfotech.com

We are Social 24/7


© 2023 Nitor Infotech All rights reserved

  • Terms of Usage
  • Privacy Policy
  • Cookie Policy
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it. Accept Cookie policy