Why Will OMNI Stack Developers Rule The IT Industry For The Next 10 Years?

Jun 23

If you're considering career opportunities or maybe a career shift, the IT industry is most probably at the top of your list.
The information technology industry is one of the fastest-growing sectors in the world, with a wide range of work prospects. The IT industry offers instant work opportunities, with prospects in all the major sectors, a large array of career routes, and best of all the highest salaries. And it is simple to break into this profession even without a diploma or college degree.

While professions like Web Development, UX Design, and Mobile App Development have gone mainstream in the past decades, there are still many upcoming fields that make a career in IT look like an unmissable opportunity. Let's discuss one such career path that can land you the 6-figure salary of your dreams - The OMNI stack developer. Just like MEAN and MERN stacks, OMNI is a combination of 4 key technologies that are revolutionizing the IT industry.
So what exactly is OMNI?

OMNI is the short form for 4 major automation technologies namely OCR, ML, NLP, and Intelligent Automation.

Scope Of OMNI Stack:

According to a new projection from Gartner, Inc, the global market for hyper-automation technologies will reach $596.6 billion in 2022. This is up from $481.6 billion in 2020 and $532.4 billion this year, according to estimates.

Automation jobs exist in almost every industry - starting from Automotive to Pharmaceutical and from Food & Beverage to Defense & Aerospace industry. The automation domain is currently in a situation in which the demand exceeds the actual supply of Automation Engineers. There are plenty of job opportunities available both inside and outside India for experienced Automation Engineers.

Understanding The “O” of OMNI Stack: OCR

The technique of transforming printed or handwritten text into digital text that may then be altered on a computer is known as optical character recognition. For example, printed text on a document or handwritten text on a sheet of paper could be scanned or photographed and then uploaded to a computer, where OCR software could interpret the printed or handwritten text and convert it to editable text. Text recognition and conversion of digital pictures (scans and photos) and PDFs to text suited for editing, quoting, searching, and archiving is made possible via optical character recognition (OCR). OCR is also referred to as ICR (Intelligent character Reader ). To achieve optical character recognition, several components must function together. Pattern recognition, artificial intelligence, and machine vision are among these elements.

Screenshots can be read by OCR. This can make information transfer between incompatible technology easier. It will also be utilized to help develop more advanced robotics. The possibilities are almost unlimited if OCR is used to assist robots in comprehending text. It works by identifying hidden codes in photos to prevent viruses.

All of these developments, as well as others, are projected to keep OCR technology in use and expand its current capabilities. According to a recent forecast from Market watch, the global Optical Character Recognition market is expected to reach USD 9560.7 million in 2022, with a readjusted size of USD 15500 million by 2028, representing an 8.4% CAGR over the research period.

The progress of optical character recognition from a specific purpose reader to a multi-purpose interactive system has reduced the cost of data capture and created the door for the development of more dependable systems, which is the cause for this increase. This will have a beneficial effect on the market as well. Moreover, according to glassdoor the expected total pay for an OCR Software Engineer is $135,350 per year, with an average salary of $117,297 per year in the United States. These figures in themselves demonstrate why opting for OCR as a career path can benefit you with a lucrative career in the upcoming decade, and why it is such an important part of the OMNI stack.

The “M” of OMNI Stack: Machine Learning

Machine Learning (ML), which is an extension of Artificial Intelligence (AI), allows IT systems to analyze data at their end and self-educate based on their experience. Its main goal is to collect the necessary data, analyze it, and then construct a problem and solution algorithm.

The finest part about this technology is that it works without the need for people or external coding. Machines are responsible for every aspect of the process. When IT workers connect directly with their clients and give them necessary solutions, this is a good example.

Machine learning is commonly employed in IT and e-commerce companies, but it has also gained traction in the education sector. It has now evolved into a need rather than a luxury. Learning analytics and educational data mining are two of the most popular ways we integrate machine learning with education.

When it comes to work prospects, the scope of Machine Learning in India and other areas of the world is vast in contrast to other fields. According to Gartner, the field of artificial intelligence and machine learning will employ 2.3 million people by 2022. The global machine learning (ML) market is predicted to increase at a CAGR of 38.8% from $21.17 billion in 2022 to $209.91 billion in 2029, according to a recent analysis from fortune business insight.

A Machine Learning Engineer's remuneration is also significantly greater than that of other job categories. According to Indeed, the average annual income for a machine learning engineer in the United States is $124,952.

Break Down OMNI Stack: N Is For NLP

Natural Language Processing (NLP) is a field that enables machines to comprehend natural human language. Natural language processing is a branch of linguistics, computer science, information engineering, and artificial intelligence concerned with computer-human interaction, particularly how to design computers to process and analyze massive volumes of natural language data.

NLP can be used to do tasks such as speech recognition, sentiment analysis, translation, grammar auto-correction while typing, and automatic answer production by developers. NLP is a difficult field to study because it deals with human language, which is incredibly diverse and may be expressed in a variety of ways. NLP Algorithms are used by developers to implement features.

Some Natural Language Processing Applications:

Google Assistant, Amazon Alexa, and Apple Siri are examples of voice assistants.
Email Classification for Customer Research
Grammar and Spell Check
Financial Research
Fake News Detection
Autocomplete Feature in Search

NLP offers a wide range of applications, including customer service, grammar check software, and company marketing. If you enjoy computers and languages, NLP could be a fantastic career choice for you. Consider careers such as NLP Engineer, NLP Architect, and others.

According to Marketsandmarkets, the global Natural Language Processing (NLP) market will increase at a Compound Annual Growth Rate (CAGR) of 20.3 percent from USD 11.6 billion in 2020 to USD 35.1 billion in 2026.

This field has evolved greatly in recent years, with tasks like syntax, semantics, discourse, and speech being used to process language. According to Hired, wages for individuals in this position range from $140,000 to $200,000, with a typical income of $175,000.

OMNI Stack: Get Smarter With Intelligent Automation(IA)

IT is now one of the most labor-intensive industries, allowing for greater automation. The demand for Intelligent Automation commonly referred to as RPA is expanding as the industry embraces this new technology. IA has only just started in the field. There is still a long way to go. RPA adoption has exploded in the recent two to three years.

Certain parts of employment, according to the industry, are repetitive, rule-based, and can be automated. Every normal, routine, and repeatable IT task can be automated in part or whole. The majority of the automation must be done in the front end. The varied nature of application across several business divisions is involved.

As a result, RPA is an excellent fit in these scenarios. There is little doubt that RPA will generate a significant portion of global employment possibilities. At the moment, automation is having an impact on how firms deploy technologies. The potential of RPA is attracting the attention of IT consulting and consultancy firms. RPA offers significant opportunities and career advancement. RPA is regarded as a highly effective professional path. Emerging grads can easily anticipate a large share of global work chances. In addition, as compared to other fields, pay packages for professionals with skill sets in this industry is comparatively greater. By implementing RPA training, you may propel your profession to the next level.

Many jobs performed by humans inside IT projects, such as collaborating, planning, reporting, managing, and controlling, are examples of RPA in the IT area. RPA will undoubtedly become the next technological revolution, with thousands of new positions opening every year. Right now, there are more than 5 million employment openings.

According to the latest projection from Gartner, Inc., global robotic process automation (RPA) software revenue will reach $1.89 billion in 2021, up 19.5 percent from 2020. Despite the COVID-19 pandemic's economic pressures, the RPA industry is predicted to increase at double-digit rates until 2024.

The average compensation of an RPA developer in the United States is $87k per year, according to payscale.

Final Thoughts:

The use of control systems and knowledge technologies to reduce the need for humans to add the assembly of products and services is known as automation and robotics engineering. Automation may be a step beyond mechanization in terms of industrialization. The future of robotics engineering is bright, from production line robots to experimental robotics for the military, medical, and automotive industries. Learning automation and choosing the OMNI stack can provide students an advantage in these challenging times. The demand trends in the market and the global expenditure of companies are all indicators of OMNI developers becoming the hottest and most in-demand tech professionals in the IT industry.

If you want to learn more about the OMNI stack and automation technologies you are in the right place. OMNI is a SaaS platform that aims to train students with in-demand automation skills through a unique hands-on practice experience taught by tech professionals.
So what are you waiting for? Enroll today and book a lucrative career in automation as an OMNI stack developer.

About AiRo

AiRo Digital Labs is an award-winning, global leader in AI and Hyper Automation led innovation for the healthcare ecosystem. We partner with Fortune 500 clients in the Healthcare, Pharma, and Life Sciences industries to address the challenge of applying AI technologies to augment and enable human effort and remove the inefficiencies in the care spectrum. We specialize in the emerging technology fields of Artificial Intelligence, Machine learning, Robotic process automation, chatbots, conversational AI, Natural Language Processing, data analytics, premium cloud services, Industrial IoT, and other AI technologies.