Can Artificial intelligence replace Human intelligence? Will artificial intelligence take away jobs?
What is Artificial intelligence(AI)?
Artificial intelligence(AI) means a computer program which executes commands with its own intelligence without any human intervention. Here Instruction and commands are defined in the infinite loop so that AI can choose the right action on its own intelligence to solve the given problem and its main goal is to replace the human brain or intelligence with its own intelligence.
Will artificial intelligence take away jobs?
Depending on the job profile every technology has its pros and cons, some lose jobs, some domains will create more jobs and AI is one of them “By 2030, Artificial intelligence will create 70 Million jobs and by eventually replacing the human staff with its Bots or virtual programs. freshers and experienced professionals should look at this to secure the future as it is going to be the biggest jump in technology by 2025-2030 “
The artificial intelligence job market is high right now. The business value created by AI will reach $3.9 trillion in 2022, according to Gartner. IDC says spending on cognitive and artificial intelligence systems will reach $77.6 billion during the same year.
AI and machine learning have the potential to create an additional $2.6 trillion in value for marketing and sales by 2020 and as much as $2 trillion in manufacturing and supply chain planning, according to the McKinsey Global Institute.
What is NLP?
Natural Language Processing (NLP) connects to the AI method of interacting with an ingenious system using a natural language such as English.
Processing of Natural Language is needed when you want an intelligent system like a system to function as per your instructions,
The NLP includes making machines to accomplish valuable tasks with the natural languages humans use. The input and output of an NLP system can be −
Components of NLP
There are two components of NLP as given −
Natural Language Understanding (NLU)
Charting the provided data in natural language into useful representations. Examining various features of the language.
Natural Language Generation (NLG)
It is the process of producing meaningful phrases and sentences in the form of natural language from some internal representation.
What is Machine Learning(ML)?
Machine Learning is a subpart of Artificial Intelligence. It is a programming language which works on its own by learning from its experiences and creates its own algorithm automatically from the previous data and insights to not repeat the previous errors or mistakes
Machine learning algorithms are often categorized as supervised or unsupervised
In Supervised Machine Learning, data set is given to the machine algorithm and runs analysis on the given data and predict the future outcome of the situation
In Unsupervised Machine Learning, no data or analysis is given its tries to find the deep undetected pattern and provides new data which is found from the unsupervised data
Machine learning has another subset of languages like Deep Learning, neural networks, natural language processing (NLP) which has great future
What is Data Science?
Data Science is the most advanced technology in the software business. Data science is used where large big data consolidated by companies and have to categorise and make a model out of it and classify, to do that job data science is used, who analyze the data and make necessary patterns and algorithms from the collected data
Job profiles for Data science are
- Data Scientist
- Data Architect
- Business Intelligence Manager
- Data Engineer
- Data Analyst
- Business Analyst
To learn more about trending software technologies click here Top and Trending Technologies 2020
Is Python an essential skill for AI Guys? Graduates should have these skills to crack AI jobs?
/C++/R/Java programming language is essential to become proficient in AI and ML, it’s necessary for engineers to learn programming languages such as Python, C++, R, Java. Python makes simple complex algorithms while C++ speeds up the entire coding process
skills to crack AI jobs:
As AI mostly depends on maths, science, computer science every graduate who wants to join in AI must possess below skills
- Science: physics, cognitive learning theory, language processing, mechanics
- Math: probability, algebra, calculus, Bayesian algorithms and logic, statistics, predictions
- Computer science: data structures, logic and efficiency, programming
Can Artificial intelligence replace Human intelligence, for some future prediction it may be beyond Human intelligence but definitely cannot replace the human, these programming languages work on human commands and human needs, replacing might be difficult. Let’s see in the near future how AI, ML and every programming works.