TRENDS OF ARTIFICIAL INTELLIGENCE IN 2022
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:
① 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.
③ 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:
① 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.
⑥ 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.
Comments