What's Artificial Intelligence? Why Artificial Intelligence is Indispensable Today? Know Emerging Career Opportunities at All Levels !

Abstract

Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of applied issues. The core of AI is machine learning (ML)—a complex of algorithms and methods that address the problems of classification, clustering, and forecasting. The practical application of AI&ML holds promising prospects. Therefore, the researches in this area are intensive. However, the industrial applications of AI and its more intensive use in society are not widespread at the present time. The challenges of widespread AI applications need to be considered from both the AI and the societal perspective. This consideration will identify the priority steps for more intensive practical application of AI technologies, their introduction, and involvement in industry and society. 

The article presents the identification and discussion of the challenges of the employment of AI technologies in the economy and society of resource-based countries. The systematization of AI&ML technologies is implemented based on publications in these areas. This systematization allows for the specification of the organizational, personnel, social and technological limitations. This paper outlines the directions of studies in AI and ML, which will allow us to overcome some of the limitations and achieve expansion of the scope of AI&ML applications.

Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time. 

Keywords: Artificial Intelligence, machine learning, Intelligent, Computer Science, Applications

Contents of this article 

The article covers

1. What is artificial intelligence?

2. What's is the background Significance?

3. History of AI

4. Aims of AI

5. Applications of AI

6. Opportunities in AI

7. What's to learn for career in AI

8. Conclusions

Introduction 

An incredible opportunity is waiting for you. Technology is changing the world by connecting billions of devices and improving how we live, work, play and treat our planet. No industry is immune to AI. Are you ready to change your life, and possibly make the world a better place for living?

A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings.

Computer Science Engineering blends computer science and electrical engineering to further advancements in digital technology, computer networking and computer systems. Computer Science Engineering principles can be applied to several other purposes, including the development of integrated circuits, embedded systems, computer vision, computer systems architecture, and much more. In turn, computer engineers use their extensive knowledge of hardware and software design and computer programming to make computing platforms and applications more efficient and effective. Artificial Intelligence has captured the imagination of the entire world with its potential ability to solve complex societal problems of our times. So the addition of specialization in Artificial Intelligence supplements value to fill the critical needs of the industry and to fill in the gap of availability of high end AI scientists and engineers. The Course is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning and visualization technologies. The main objective of artificial intelligence is to program computers to use example data or experience to solve a given problem.

Artificial Intelligence (AI) has become an integral part of technology in our daily lives, driving to office, searching for a restaurant, getting news updates, and recommendations on social media are all using AI. With increase in usage, there is a significant requirement of researchers who can understand AI and build AI technologies. This program will provide students an opportunity to learn both foundational and experimental components of Computer Science Engineering and Artificial Intelligence. A student completing this program will be able to undertake industry careers involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies and research careers in AI, ML, and, in general, Computer Science areas. Along with courses that provide specialization in AI, students will also have option to explore some applied domains such as computer vision, natural language processing, robotics, and software analysis. 

In recent years, Artificial Intelligence has become part of almost every aspect of innovation, ranging from medical research to Internet of Things (IoT), its development from rule-based systems to deep learning has redefined research and development in many ways. 

So let's explore it from the basics of AI to emerging applications, what to learn and wh

What's Artificial Intelligence?

John McCarthy is considered as father of the Artificial Intelligence. McCarthy has described Artificial Intelligence as follows 

 “Artificial Intelligence is the science and engineering of making intelligent machines. It is as intelligent as humans through computer programs”.

Therefore, Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software which thinks intelligently, in the similar manner the intelligent humans think.

AI is recognised by equalling to a) studying how human brain thinks

b) how humans learn, decide, and work while trying to solve a problem

c) then using the outcomes of this study as a basis of developing intelligent software and systems.

What's the Philosophy of AI?

The philosophy of AI is to explore the possibilities of computer science in numerous activities the humans do. While exploiting the power of the computer systems, the curiosity of human, lead to innovate the wonder with the questions like, 

1. “Can a computer machine think ?

2. Can a computer behave like humans behave?”

Thus, the development of AI started with the intention of creating similar intelligence in machines that we find and regard high in humans.

History of AI

Here is the history of AI during 20th century −

Year Milestone / Innovation

1923 

Karel Čapek play named “Rossum's Universal Robots” (RUR) opens in London, first use of the word "robot" in English.

1943 

Foundations for neural networks laid.

1945 

Isaac Asimov, a Columbia University alumni, coined the term Robotics.

1950 

Alan Turing introduced Turing Test for evaluation of intelligence and published Computing Machinery and Intelligence. Claude Shannon published Detailed Analysis of Chess Playing as a search.

1956 

John McCarthy coined the term Artificial Intelligence. Demonstration of the first running AI program at Carnegie Mellon University.

1958 

John McCarthy invents LISP programming language for AI.

1964 

Danny Bobrow's dissertation at MIT showed that computers can understand natural language well enough to solve algebra word problems correctly.

1965 

Joseph Weizenbaum at MIT built ELIZA, an interactive problem that carries on a dialogue in English.

1969 

Scientists at Stanford Research Institute Developed Shakey, a robot, equipped with locomotion, perception, and problem solving.

1973 

The Assembly Robotics group at Edinburgh University built Freddy, the Famous Scottish Robot, capable of using vision to locate and assemble models.

1979 

The first computer-controlled autonomous vehicle, Stanford Cart, was built.

1985 

Harold Cohen created and demonstrated the drawing program, Aaron.

1990 

Major advances in all areas of AI −Significant demonstrations in machine learning

Case-based reasoning

Multi-agent planning

Scheduling

Data mining, Web Crawler

natural language understanding and translation

Vision, Virtual Reality

Games

1997 

The Deep Blue Chess Program beats the then world chess champion, Garry Kasparov.

2000 

Interactive robot pets become commercially available. MIT displays Kismet, a robot with a face that expresses emotions. The robot Nomad explores remote regions of Antarctica and locates meteorites.

Aims of Artificial Intelligence 

Artificial Intelligence aims

1. To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.

2. To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans.

What are the constituents Artificial Intelligence?

The constituents of Artificial Intelligence are almost all fields according to latest developments. Artificial intelligence is a science and technology which has found extensive applications on disciplines such as 

Computer Science, 

Biology, 

Psychology, 

Linguistics, 

Mathematics, 

Technology, and 

Engineering. 

What's this focus of AI?

A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.

Out of the following areas, one or multiple areas can contribute to build an intelligent system.

What's the Components of AI?

The components of AI can be classified broadly into two categories

1. Programming Without AI

A computer program without AI can answer the specific questions it is meant to solve. 

2. Programming With AI

A computer program with AI can answer the generic questions it is meant to solve.

Modification in the program leads to change in its structure. AI programs can absorb new modifications by putting highly independent pieces of information together. Hence you can modify even a minute piece of information of program without affecting its structure.

What is AI Technique?

In the real world, the knowledge has some unwelcomed properties −

Its volume is huge, next to unimaginable.

It is not well-organized or well-formatted.

It keeps changing constantly.

AI Technique is a manner to organize and use the knowledge efficiently in such a way that −

It should be perceivable by the people who provide it.

It should be easily modifiable to correct errors.

It should be useful in many situations though it is incomplete or inaccurate.

AI techniques elevate the speed of execution of the complex program it is equipped with.

What are the Emerging Applications of AI?

AI has been dominant in various fields such as −

Gaming − AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge. 

Applications of Artificial Intelligence in the arena of gaming also deserves prominent mention. AI has achieved phenomenal growth in the gaming industry itself. Using machine learning and algorithms, a surreal gaming environment can be brought forwards for gamers. Implementation of augmented reality and virtual reality gaming to bring a real environment for players, AI possesses the potential of transforming even the simplest of video games into dynamic, engaging and interactive ones! There are many examples of applications of artificial intelligence in the gaming industry which includes the First Encounter Assault Recon, popularly known as F.E.A.R.

Natural Language Processing − It is possible to interact with the computer that understands natural language spoken by humans.

Expert Systems − There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users.

Vision Systems − These systems understand, interpret, and comprehend visual input on the computer. For example,

A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas.

Use in  clinical system to diagnose the patient.

Use in Investigation 

Doctor use AI to diagnose a patient where as Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.

Speech Recognition − Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in human’s noise due to cold, etc.

Handwriting Recognition − The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text.

Intelligent Robots − Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.

Business

Businesses are utilising AI for facilitating a better relationship with their customers as well as to tackle tasks that would be carried out by humans but can be done faster using robotic process automation. Further, websites are utilising machine learning algorithms to explore the best ways to serve the customers. 

Education

When it comes to the education sector, AI has brought key changes in revolutionising the traditional methods of teaching. Digital technologies can be effectively incorporated for grading assignments as well as to provide smart content through online study materials, e-conferencing, etc. Further, AI is also being proficiently utilised by admission portals like Leverage Edu to help students find best-fit courses and universities as per their preferences and career goals. 

Healthcare

Artificial Intelligence has proved to be a significant and effective technology for the healthcare sector as it has revolutionized medical equipment, diagnosis, research, amongst others. 

Banking

Applications of artificial intelligence in the banking sector are also exponentially growing. There are a number of banks in the world that are already taking advantage of artificial intelligence for detecting frauds related to the activities of credit cards as well as facilitating online banking. 

Finance

In the financial sector, Artificial intelligence is playing a major role in determining the future patterns of the market. The main aim & objective of AI-based technologies in the finance sector is to thoroughly analyze the dynamism of stock trading. 

Agriculture

There are many issues related to environmental change which are miserably affecting the lives of farmers and crop production. In order to do away with the agricultural crises, a number of AI-based machines are at the forefront, be it robots and algorithms, helping farmers in sustainable agricultural production. They help farmers discover more effective means of protecting crops from weeds. Effectively using applications of Artificial Intelligence in Agriculture, the ‘Blue River Technology’ has set a great example as it has created see and spray machines that can detect weedicide on cotton plants. These automated machines spray plants with the help of computer vision technologies which helps them protect against herbicide.

Autonomous Vehicles

Smart cars are the best examples of autonomous vehicles. It is one of the popular applications of artificial intelligence in the automobile sector. There are prolific companies like Waymo, which has conducted a series of test drives to make their product successful. They included a vehicle ranging system, cloud services, GPS as well as cameras in order to produce and control signals for vehicular movement. Tesla’s self-driving cars are purely based on Artificial intelligence is another best example of autonomous vehicles. 

Other Applications

Following are some of the other applications of artificial intelligence:

Astronomy

Travel & Tourism

E-Commerce

Social Media

Data Security

Lifestyle

Navigation

Human Resource

Chatbots

Thus, there are plentiful applications of artificial intelligence in a varied range of sectors and areas possessing the potential of reducing human effort and making everything automated and run by machine algorithms. 

Career Opportunities in Artificial Intelligence: 

Artificial Intelligence orAI career opportunities have escalated recently due to its surging demands in industries. The hype that AI will create tons of jobs is justifiable. A career in AI looks more promising than any other job available these days. 

Career prospects you can choose after recognised qualification in AI. AI enables to work as professional in the following job-

Professional Computer Engineer

Artificial Intelligence Engineer

Research Engineer - Artificial Intelligence

Data and AI Consultant

Robotics Professional

Software Engineer

IIoT Architect

Data Science Architect

Citizen IoT Scientist

Machine Learning Engineer

AI Solution Architect

System Administrator and many more ways…..

Employers need AI talent to fulfil the company’s technological requirements. 

Thus, a career in AI is not only attracting the job-seekers towards it but is witnessing immense growth. Opportunities are present owing to wide applications in different fields to name few of them and introducing in brief.

1. Big Data Engineer

Role of Big Data Engineer

The roles of Big Data Engineer is to create a sustainable business systems to interact efficiently. Their primary task is to develop and effectively administer big data in an organization. 

The Pay and Packages

Big Data Engineer fetches you a good salary when compared to other AI roles. An average salary of a Big Data Engineer is Rs.19 LPA. Hence, it could be understood that these jobs in Artificial Intelligence are bound to provide you with massive salary opportunities.

Systems and Applications 

In Spark and Hadoop systems, a big data engineer deals with preparing, managing, and establishing a big data environment. The role is suitable for those who are keen to play with new technical tools and can step above the relational database box. Be it for freshers or for people who already have a working knowledge of Big Data, this is a perfect field to work.

The Scope of Learning

The scope of Big Data Engineer is to explore AI and the learning opportunities of different branches AI. As example Machine Learning Skills, which are one of the major subsets of careers in AI. 

What's to learn

To become a Big Data Engineer the following skills are necessary

1. Knowledge of Programming languages like Python, R and Java 

Skills related to SQL and Apache Spark enhances your chances of grabbing the relevant career opportunity. 

Aspirants should have some proper insights on data migration along with data visualization and mining. 

This will thus help in creating concrete knowledge for the people about Artificial intelligence and modifications to create these programs hand-in-hand.

Qualification and Experience 

Applicants who have a 

1. PhD in the field of Computer Science or Mathematics are given more preferences. 

2. Candidates with M Tech specification in AI

3. B.Tech in AI + Add ons in emerging technologies with AI

2. Business Intelligence Developer

The Roles 

The primary responsibility of a Business Intelligence Developer is to consider the business acumen along with AI. They recognize different business trends by assessing complicated data sets. This is done with the help of gaining simulated data that has been fed beforehand to the AI and obtaining concrete results out of it. This helps in providing them with brand recognition and brand awareness in a much more robust technique. They help in swelling the profits of a company by preparing, developing and nourishing business intelligence solutions.

Business Intelligence 

Business profitability and efficiency are the two significant factors of development considered by them. They also assist in optimizing different processes and workflow across the organization. 

Capabilities in dealing with complicated data

Their demands have intensified recently due to their capabilities in dealing with complicated data of cloud-based platforms.

Room for Improvement 

This provides a keen insight into the original standpoint of the business. This will leave room for improvement and help them understand what are the remedies required to be made for an appropriate business model. 

Skills required 

One who is aware of computer programming and data sets can acquire this position. A formal bachelor’s degree in the field of computers, mathematics or engineering is suitable to land you in a job. The problem-solving strengths and analytical capabilities of the applicants should be high.

Sound knowledge of SQL servers and queries along with data warehouse designing is needed while pursuing this career option. The role also pays quite well and their demands won’t diminish in the near future. This makes it one of the major AI careers opportunity. 

The salary and perks 

The average salary of a Business Intelligence Developer is Rs.6.6LPA. This is a tad bit less than a Big Data Engineer, but there are tons of room for improvement and development to have successful careers in AI. 

3. Data Scientist

The roles 

Data scientists assist in gathering relevant data from multiple sources for the purpose of assessing it to gain constructive inferences. The inferences gained are influential in tackling various issues concerned with the business. Depending upon different data patterns, past and present information, data scientists make various predictions.

Analyze Root Cause 

It is a robust system that helps analysts analyze the root cause and the drawbacks that are caused in the business and how to mitigate and restrain them to happen from in the future, making it one of the most reliable Artificial Intelligence careers.  

The performance of the business is positively impacted due to a data scientist. 

The skills required 

Job-seekers are required to be equipped with modern tools like Spark, Hadoop, Pig or Hive while pursuing this career option. The candidate must be comfortable using programming languages like Python, Scala or SQL.

Qualification 

In terms of education, the applicant should hold a master’s degree in Mathematics or Computer Science. Any advanced degree is likely to increase the chance of getting the job. Significant experience in the field of machine learning is mandatory.

To interact with the managers, data scientists should possess sound communication skills. Their analytical abilities should be outstanding. Many large technical firms need data scientists to carry out important tasks for the growth of the company. A career in AI thus opens the door to be a Data Scientist.

The salary 

The average salary of a Data Scientist ranges from Rs.10.5 LPA. The career is very lucrative and with the increment of several certificate courses on AI has increased the job roles in Artificial Intelligence immensely. If you possess the above skills, then you are a perfect cut-out for the job. 

4. Machine Learning Engineer

The Roles 

Machine Learning (ML) is known to be a subset of Artificial Intelligence. It runs simulations with the different data that has been given and generate accurate results. 

What's they do?

Machine learning engineers are involved in building and maintaining self-running software that facilitates machine learning initiatives. They are in continuous demand by the companies and their position rarely remains vacant. They work with huge chunks of data and possess extraordinary data management traits.

Area of work

They work in the areas of image and speech recognition, prevention of frauds, customer insights, and management of risks. To become a machine learning engineer, one must have sound command in applying predictive models dealing with magnificent data. Programming, computing, and mathematics are essential to becoming successful as a machine learning engineer. 

The salary 

The average salary of a Machine Learning Engineer is about Rs.9.25 LPA.

Qualification required 

A master’s degree in Mathematics or Computer Science is preferred. Python, R, Scala, and Java are the required technology stacks. Having in-depth knowledge about machine learning algorithms, neural networks and deep learning is highly beneficial.

Experience Edge

Sound familiarity with software development tools, cloud applications, and excelling coding skills gives you an added advantage. Moreover, you can also make use of upGrad’s top-notch AI and ML courses to sharpen your skills. If you possess the above skills then these jobs in Artificial Intelligence are bound to bring you good fortune.

5. Research Scientist

The Roles 

Research scientists undertake efforts in performing extensive research dealing with applications of machine learning and machine intelligence. 

The Skills 

A research scientist is one who has gained expertise in the field of 

applied mathematics, 

statistics, 

deep learning, and 

machine learning.

The salary 

The average salary of a Research Scientist is Rs.9.25 LPA. 

Qualification and Experience 

Applicants are expected to have a PhD degree or advanced master’s degree in mathematics or computer science. The salary of a research scientist is quite high and organizations recruit those who have a good experience in their AI career. Significant knowledge of Natural Language Processing (NLP) and Reinforcement Learning is essential while applying for the role.

Exposure Edge 

Aspirants who possess insights regarding parallel computing, computer perception, benchmarking, graphical models, and distributed computing are favoured. It is quite evident that the importance of research scientists will not diminish in the next generation.

6. AI Data Analyst

The Roles 

The major function of an AI data analyst is to perform data mining, data cleaning, and data interpretation. By cleaning data, requisite data is collected to carry out data interpretation. Any sort of useless data is discarded by them so that it does not hamper the data interpretation process. 

What's they do?

With the help of statistical tools and methods, inferences are drawn from the data by an AI data analyst. 

Qualification required 

To become an AI data analyst, you are required to possess a bachelor’s degree in mathematics or computer science.

Experience and Exposure 

A comprehensive understanding of regression and the ability to utilize MS Excel is essential to acquire this position. 

The salary and benefits 

In comparison to other AI roles, the salary is quite low for an AI data analyst. 

The average salary of Data Scientists is Rs.6.5LPA.The demand for AI data analysts is quite stable but their future cannot be ascertained. The jobs in AI as an AI Data Analyst are very important and are required by various industries.

7. Product Manager

The Roles

In the field of AI, the duty of a product manager is to resolve challenging problems by strategically collecting data. 

What skills are necessary?

You should possess the skill of identifying relevant problems that obstructs the business proceedings. The person has to get hold of related data sets to facilitate data interpretation. 

What's the nature of jobs available?

There are various jobs after artificial intelligence.  With expertise in AI products, tools and techniques the person can get into the position of a product manager.

What's Products Managers do nowadays?

After data interpretation, the product manager is required to estimate business impacts from the outcomes of data interpretation. Each organization needs a product manager, whose demands have skyrocketed these days.

The salary and benefits 

This is one of the most high-paying jobs in Artificial Intelligence. The salary is about Rs.24.5LPA on average with perks.

8. AI Engineer

The Roles 

AI engineers are problem-solvers who develop, test and apply different models of Artificial Intelligence. They effectively handle AI infrastructure. 

What skills are necessary?

They make use of machine learning algorithms and understanding of the neural network to develop useful AI models. The artificial intelligence career as an engineer is also highly in-demand.

One can get business insights with these models and this helps the company to make effective business decisions. 

Qualification and Experience 

Undergraduate or postgraduate degrees in the field of data science, computer science or statistics are mandatory. 

Proficiency in programming languages, such as Python, R or C++, is essential. The applicants should have a strong grasp in statistics, NLP, applied mathematics, and analytics. 

The salary and benefits 

The pay scale of an AI engineer is quite good due to the role’s surging demands. The average salary is about Rs.8 LPA. 

9. Robotics Scientist

It is high assumption that the jobs will be reduced by automation. Conversely, jobs will also rise as robotics scientists are in incessant demands by major industries for programming their machines. So here the persons skilled in handling robotics activities will be in much higher demand. The robots will help in carrying out certain tasks efficiently.

Qualification and Experience 

The candidate should have a master’s degree in robotics, computer science, or engineering. The B.Tech in Mechatronics engineering with exposure to AI tools keeps ahead a person than others.

What's the opportunities?

There are various AI job opportunities which one can procure and set themselves up for a successful career. 

The salary and benefits 

The average salary of a Robotics Engineer is about Rs.6.2LPA. The median salary for a robotics scientist is quite high. Although automation is favoured by robots, there should be some professionals to build them. Thus, the risk of losing jobs is minimum.

10. NLP Engineer

The Roles 

The NLP Engineers specialise in the human language which includes both written and spoken languages. It is used by engineers who work on speech recognition, voice assistants, document processing, and so on.

What skills are necessary?

The top skills required for NLP Engineers are Python, Java, R, ML methods, ML frameworks and libraries and so on. 

The salary and perks 

The average salary for the NLP Engineer is 8.0 lakhs per annum. There are various artificial intelligence job opportunities available in the NLP.

11. UX Developer

What's the need?

Organisations are turning digital, which demands their digital presence to be totally updated and user-friendly. They understand the big picture and are behind the organisational structure. They utilise their skills to create an interactive website. They create the user interface for the app and gather users before designing ideas that can be communicated using storyboards. 

What are career opportunities?

A career in artificial intelligence is successful also when the users indulge themselves in developing their skills. 

What skills are necessary?

The skills required for UX Designers are

Research abilities 

Information Architecture

Wireframing 

Visual Communication

Prototyping 

What's the salary and perks?

The average salary procured by the UX Developer is 5.0 lakhs per annum.

12. Researcher 

The Roles 

The researchers can work with various AI scientists and different teams and develop new methodologies and ways to advance technology. 

What's the opportunities in artificial intelligence?

The career opportunities in artificial intelligence as a researcher are lucrative . It's very rewarding. The advanced and high paying jobs are available with so many nomenclatures. 

What's the salary and benefits?

The Researchers get a salary of 12.5 lakhs per annum.

13. Data Mining

What's the roles?

The data miners perform strategic data analysis and research. They also indulge in identifying the opportunities that improve productivity via statistical analysis and modelling. 

What's the Qualification and skills required?

A Bachelor's of degree in engineering or science with specialization in artificial intelligence.

There are various AI jobs in Data Mining, one can upskill themselves and move up the ladder.

The top skills which are required for Data Miners are

Python,

R

SQL

Infrastructure Management 

Quantitative Modelling

Marketing Analytics

Big Data 

Artificial Intelligence 

What are the Top Tools for Artificial Intelligence?

An AI tool is a software application that uses artificial intelligence algorithms to perform specific tasks and solve problems. AI tools can be used in a variety of industries, from healthcare and finance to marketing and education, to automate tasks, analyze data, and improve decision-making

Here is the list of top AI tools that are used by the corporate and industries.

Check out this list of AI tools that can be used in different situations of personal and professional life.

Top corporate and industries where one can find a best offer

Companies that make use of AI

The top 10 companies make use of AI and are recruiting for the same – 

Amazon

Apple

Google

Facebook

DJI

Anki

Clarifai

Deepmind

Casetext

DataVisor

Conclusions 

It is an apt time for professionals who want to jump into the field of AI and make their career out of it. Renowned startups like Argo AI are also hiring for significant Artificial Intelligence roles.

Furthermore, AI has proven to be superior to human decision-making in certain areas. AI is better than humans at finding and enacting the best policies in certain areas concerning science, engineering, and complex societal and macroeconomic issues.

It's evolving day by day with new invention. So keep learning and grow smartly.