Main menu




Microsoft White Paper, AI Replaces Simple Repetitive Jobs, But Creates New Jobs,

Manufacturing, Fields Filled with Analytical Data, Easy to Analyze by Machine Learning In

Preparation for the AI ​​revolution, workers will need to continuously update their skills in the future

It is mid-January in 2022. Every new year, various professional organizations and media companies come up with 'trend keywords' that predict the year. Various trends have been pouring out since the end of last year in the field of artificial intelligence (AI), which is said to be the favourite of the 21st century. What are the major trends in 2022 in the field of artificial intelligence technology that is changing day by day in the era of the 4th industrial revolution?

Top 5 AI Job Trends of the Year

One of the big buzzwords of artificial intelligence is that it will replace human jobs and cause job insecurity. On the other hand, there is a strong analysis that the employment effect created by AI will offset the job loss.  

According to a white paper on artificial intelligence AI jobs released by Microsoft in March 2020, a study showed that AI will replace existing jobs centered on simple and repetitive tasks, but the creation of new types of jobs will largely offset the decline.

On the 17th, Datamation, a famous American computer magazine, covered a forecast article on the top 5 AI job trends in 2022.

AI, including machine learning, deep learning, and data mining, is influencing work across all layers of business and IT. AI artificial intelligence is being integrated into customer relationship management (CRM), enterprise resource planning (ERP), business intelligence (BI), analytics, cybersecurity, marketing, sales, management, and more.

Here are the five key trends the market is seeing in AI jobs this year:

Artificial intelligence AI changes all roles

Artificial intelligence AI is shifting all other roles, or at least many roles.

Patrick Conte Obsani, Chief Commercial Officer, said, "There is no change in AI jobs as much as AI is changing other roles."

Conte cites an example of cloud application optimization that uses AI to enable DevOps (software development and operations) engineers to focus on developing and testing rather than sizing their workloads.

Artificial intelligence AI can find the right size or service level target for an application, where a DevOps engineer or team can request a large footprint to accommodate the application without worrying about over-provisioning and over-consumption.

In this case, AI and machine learning (ML) can suggest with high accuracy the workload size (CPU, memory, replicas, etc.) that the DevOps team can build, test, and then send the workload to the Site Reliability Engineering (SRE) team. .

② Field reliability engineering role Artificial intelligence

AI and ML are transforming the role of site reliability engineering (SRE). By using ML to find the optimal set of performance settings in production, the SRE team doesn't have to spend time preparing the app.

There are trillions of permutations of settings for an app or microservice with just three parameters: central processing unit (CPU), memory, and replica. Therefore, there is a need for a system capable of operating at machine speed to conduct the tests and experiments necessary to actually find the optimal combination for these parameters.

Cybersecurity and Artificial intelligence AI

According to the job site Dice's Skills Payroll Report, cybersecurity engineers had the highest salaries in 2020. The report highlights technologies such as cloud, AI, ML and cybersecurity as being in high demand.

While tech salaries increased 3.6% overall in 2020, salaries for cybersecurity analytics surged 16.3%. That percentage rose again in 2021, and the role of using AI alongside standard cybersecurity tools is evolving.

Art Gil, CEO of DHI Group, an AI-powered career provider focused on technology roles, said: "The widespread adoption of remote work has led to increased vulnerabilities, providing unprecedented opportunities for hackers to attack and defend." said.

④ Artificial intelligence in manufacturing

Many other verticals are relying heavily on AI. And manufacturing is taking the lead.

An MIT study found that about 60% of manufacturers are already using AI. The two examples are maintenance and quality control.

For example, instead of people walking around equipment and assembly lines at specific time intervals, AI is used to process incoming data from sensors to monitor factors such as oil level, filter debris, equipment condition, performance, vibration, emissions, etc. do.

AI then directs maintenance personnel towards equipment and parts that need attention. This saves time and money.

“Manufacturing data is very well suited for AI and machine learning,” said Gem Dilmegani, founder of AI Multiplex, an artificial intelligence analytics firm. explained.

Likewise, AI in quality control can help inspectors revert QC issues back to their root cause.

⑤ Artificial intelligence, robotics

Robotics is another hot spot. In addition, AI is being used a lot.

Andel Group analyst Rob Andel said, “The autonomous robot market alone will reach around $103 billion this year.” He predicts that it will more than double to $210 billion by 2025.

Jobs will also be plentiful in fields such as robotic process automation (RPA). When RPA is integrated with AI, it helps businesses to handle high-volume, repeatable tasks much more efficiently.

86% of AI responds to its 'mainstream technology'

On the 14th, the Times of India, an English-language newspaper in India, predicted that the global AI market would grow at a CAGR of 39.4%. 

According to the Harvard Business Review, 86% of respondents last year said AI was their 'mainstream technology'. Technologies such as video analytics, IoT, robotic process automation, natural language generation, and virtual agents have re-evaluated all areas of the enterprise, from customer interaction to workforce management and market entry.

Therefore, the media predicted the top AI trends expected in 2022 as follows:

① Implementation of artificial intelligence  AI based on ROI (return on investment capital)

This year, the sector will encourage collaboration between enterprises and IT teams, which can help organizations proactively determine the business outcomes of AI deployments and ensure automated maintenance.

In the case of video analytics, a new broad introduction to the trend in this field will be offered this year. In terms of security and marketing, video analytics can benefit any company.

According to industry estimates, the global AI-based surveillance and security market is expected to reach $4.46 billion by 2023, and nearly half of the world has already adopted AI cameras as sensors for advanced AI vision systems. are doing

This will be a game-changing invention for businesses, the media predicted. This rebellion is exemplified by the AI ​​assistant 'JARVIS' in the movie Iron Man. With state-of-the-art facial recognition technology and intelligent monitoring of objects, crowds, surroundings and vehicles, it has proven to be one of the AI-powered adaptive video analytics solutions available.

② 'AaS' business model Artificial intelligence

Organizations can use the AaS model to tailor the solution to their needs. As services are often delivered on a subscription basis, the AaS model can provide scalability and cost-efficiency, thus reducing the capital investment that capital investment organizations must devote and support to move to a larger operating cost framework. .

The global public cloud application services market is expected to grow to billions of dollars this year. For example, by applying the AaS concept to video surveillance, cloud-based recording becomes possible, resulting in video control as a VSaaS (Video Surveillance as a Service) service.

This eliminates the need for an on-premises server, and allows you to quickly install the solution without worrying about complex and time-consuming network configurations.

③ Enhanced cyber security Artificial intelligence

AI is becoming increasingly important in the field of information security. The cyber security industry for AI and machine learning is expected to reach $38.2 billion by 2026. AI will help companies improve their cloud migration strategies and maximize the value of big data technologies.

This year is a new biography of AI

“This year will be a new turning point in AI,” said Dr. Andrew Ng, one of the world’s four kings in the global AI field, to the Indian business media Daily Pioneer on the 16th.

The Daily Pioneer summarizes some of the key AI trends we'll see this year:

Artificial intelligence AI automation

The AI ​​revolution is upon us, and it is only the beginning. The demand for physical labor will increase as machines take the place of routine tasks performed by humans in industries such as healthcare and customer support.

This will leave many people with those skills at minimal employment opportunities as their jobs are automated with software programs.

To remain competitive in these changing times, future workers will need to continuously update their skills to work alongside machines in the new AI-powered workplace.

② Voice & language-based intelligence

The past few years have seen significant advances in speech recognition, natural language processing, and speech synthesis, enabling machines to understand and speak human language. Large dataset language models like Open AI's GPT-3 have AI's ability to generate human-like speech.

Chatbots are getting very close to being able to respond with human-like intelligence by selecting words and rhymes. Another industry where voice AI will make a wave is healthcare, where AI will increase access to advanced diagnostics.

③ Self-driving vehicle Artificial intelligence

In the last two years of the pandemic, there is a need to invest in the development and deployment of next-generation delivery vehicles that are fully autonomous, be it long-haul trucks or final delivery vans. Amazon has already started delivering packages using drones and testing autonomous vehicles.

④ Metaverse expansion Artificial intelligence

Metaverse is a virtual reality platform that simulates real-world environments and characters using voice APIs, computer vision, and natural language understanding. With the transition to a pandemic-driven digital world, Metaverse is expected to grow outside of games and media.

⑤ Low Code/No Code AI

There are far fewer people available today to develop AI-powered solutions for organizations. This talent gap is a real challenge as more organizations will seek low code/non-code deployments for AI/ML solutions for a faster transition. Machine learning models will be developed by a small number of experts, but their implementation and utilization will be open to the public.

Artificial intelligence AI and Ethical Trends


Now that artificial intelligence has reached a stage where it can coexist with mankind, the discussion on ethical AI continues. In the future, the international community is expected to discuss AI ethics more strongly assuming the advent of human-level artificial intelligence, such as preparing for the side effects of technology and implementing the moral concept of artificial intelligence devices.