There is no doubt that technology is continuously changing the world. Many new advancements in the world have even started replacing human intelligence. The development of simulators and Artificial Intelligence-based learning solutions has made it much easier to proceed with practical exposure.

Educational Technology Trends 

Artificial Intelligence, Machine Learning, Big Data,  and the Internet of Things (IoT) Data Science & Data Analytics are the biggest educational technology trends.

AI could become the primary trend and grow by more than 45%. 

Artificial intelligence (AI) brings with it a promise of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan.

What makes artificial intelligence so different from machine learning?

Most common people tend to use the terms like artificial intelligence and machine learning as synonymous and they do not know the difference.

However, these two terms are actually two different concepts even though machine learning is actually a part of artificial intelligence.

What is Artificial Intelligence (AI)?

Artificial intelligence” is a broad term that refers to any type of computer software that engages in humanlike activities – including learning, planning and problem-solving. Calling specific applications “artificial intelligence” is like calling a car a “vehicle” 

Artificial intelligence is a technology that enables a machine to simulate human behaviour. Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart computer system like humans to solve complex problems.

Artificial Intelligence is a vast field of computer science concerned with developing smart machines capable of performing a wide range of tasks. The technology is also known as machine intelligence and attempts to mimic humans enabling software applications or systems to act with varying degrees of autonomy. AI makes it possible for machines to solve problems and even paves the way for automation. Analytics Insights has accumulated here a comprehensive look at Artificial Intelligence technologies that are revolutionizing society and business as well.

Machine Learning

Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The process of learning begins with observations or data, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

Machine learning and deep learning are subfields of AI. As a whole, artificial intelligence contains many subfields, including:

  • Machine learning 
  • Deep learning
  • Computer vision 
  • Natural language processing

While machine learning is based on the idea that machines should be able to learn and adapt through experience, AI refers to a broader idea where machines can execute tasks “smartly.”

Artificial Intelligence applies machine learning, deep learning and other techniques to solve actual problems

Five Jobs That Artificial Intelligence Will Replace In Future

  • Receptionists
  • Proofreaders
  • Market Research Analysts
  • Doctors
  • Taxi and bus drivers

Artificial intelligence replaced jobs in 2050 because of AI’s dominance.

Top 10 Indian Companies Hiring AI Professionals For INR 25 Lakh Package

With the changing business landscape, artificial intelligence (AI) is surely playing an important role in every industry vertical. It can mimic human interaction and show human-like capabilities. Businesses across the globe are leveraging the benefits of AI and ML, but to optimize processes or automate workflow. 

  • Tata Elxsi
  • Bosch
  • Kellton Tech
  • Happiest Minds
  • Zensar Technologies
  • Persistent Systems
  • Saksoft
  • Affle
  • Flipkart
  • Talentica Software

Also Read: Top 7 In-Demand Tech Jobs

Market Trend Analysis Of Artificial Intelligence 

Artificial Intelligence will become one of the most transformative, general-purpose technologies over time

Market Adoption

The adoption of AI continues to increase as businesses seek to generate more returns. The use of AI in standard business processes is soaring rapidly year over year. In its survey of 1,900 IT and business executives from seven countries and a variety of industries, Deloitte revealed that 65% of respondents reported that AI technologies are enabling their organizations to move ahead of the competition. On the other hand, 63% of executives already perceive AI as “very” or “critically” vital to their business success, and that number is projected to grow to 81% within two years. Additionally, 57% expect that AI will substantially transform their company within the next three years. AI is taking centre stage in every business strategy and demonstrating huge potential across a wide variety of business operations.

Artificial Intelligence Adoption by  various Industries

Manufacturing: As the manufacturing sector shows high hopes for AI, a Deloitte survey found, that 93% of companies believe AI will be a pivotal technology to drive growth and innovation in the sector.

BFSI: The banking, financial services, and AI is becoming mainstream in Financial Services within the short term, the report found that 85% of all respondents surveyed are currently using some forms of AI, with FinTechs being slightly ahead of Incumbents in AI adoption.

Healthcare: According to a KPMG survey, 53% of healthcare executives believe that the healthcare industry is ahead of most other industries in AI adoption. 89% of respondents reported that AI is already creating efficiencies in their systems, while 91% said AI is increasing patient access to care.

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence. Personal assistants like Siri and Alexa have made AI a part of our daily lives. Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm but are certainly within reach. 

Top Performing AI Companies of 2022: The Leaders In The Cloud

  • Amazon Web Services
  • Google Cloud Platform
  • IBM Cloud
  • Microsoft Azure
  • Alibaba Cloud

The Future of AI

How might artificial intelligence be used in the future? It’s hard to say how the technology will develop, but most experts see those “common-sense” tasks becoming even easier for computers to process. That means robots will become extremely useful in everyday life.

AI is the future

Whether rosy or rocky, the future is coming quickly, and artificial intelligence will certainly be a part of it.

Skills Required for AI Professionals

  • Technical Skills
  • Domain Knowledge
  • Programming Languages: Python, Java, R, C++
  • Frameworks and libraries: Highly useful in AI are TensorFlow, SciPy, NumPy, Scikit-learn, Apache Spark, PyTorch, and more.
  • Mathematical Knowledge: Mathematical skills like linear algebra, statistics, probability, graphs, optimization techniques, etc., are desirable.
  • Signal Processing Techniques
  • Shell Scripting
  • Cluster Analysis

Educational Qualifications to Become An AI Engineer

  • Computer science
  • Software engineering
  • Data science
  • Statistics
  • Mathematics

What Does an Artificial Intelligence(AI) Engineer Do?

Machine Learning (ML) Engineers, Data Scientists, Data Analysts, Computer Vision Engineers, Business Intelligence Developers, and Algorithm Engineers are just some of the many different positions that come under the umbrella of AI engineering. Each of these positions entails a different job profile, but, generally speaking, most AI engineers deal with designing and creating AI models. Everything from the maintenance to performance supervision of the model is the responsibility of the AI engineer. 

As we said, most AI engineers come from a computer science background and have strong programming skills, which is a non-negotiable part of an AI engineer’s position. Proficiency in Python and Object-Oriented Programming is highly desirable. But, for an AI engineer, what is even more important than programming languages is the programming aptitude. Since the whole point of an AI system is to work without human supervision, AI algorithms are very different from traditional codes. So, the AI engineer must be able to design algorithms that are adaptable and capable of evolving.

Best Countries for Artificial Intelligence Jobs

  • United States (US)
  • Europe
  • India
  • Germany
  • Canada
  • United Kingdom (UK) 
  • China

This is all about AI and Machine Learning. If your students are interested in these fields and want to make a career in Artificial Intelligence & Machine Learning, this blog will help. Read everything about it, career scope, educational qualifications, skills required, companies that offer AI jobs, etc and guide students more efficiently. 

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Sonal Srivastava
Sonal Srivastava
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Sonal Srivastava is the Founder of Student Counselling Services (SCS), Greater Ahmedabad and a trained Global Career Counsellor. With over 15 years of experience in the education sector, she is specialized in one-on-one counselling. She sets up counselling sessions with students and parents and helps them in making career decisions. She believes in the holistic approach to guiding students. She focuses on every student as a whole not just as the sum of their parts.


  1. Avatar
    Rachita dubey Reply

    Bright career for IT experts , good information keep it going

  2. Avatar
    Siddharth surve Reply

    AI is the niche technology which will take the world by storm and take over most of the manual workload by 2050.. However every technology needs to be time tested, upgraded, validated beyond error to ensure fool proof implementation in day to day human habits/ work culture

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