Eloquent about Artificial Intelligence !!
“AI is going to change the world more than anything in the history of mankind. More than electricity.” — AI oracle and venture capitalist
Dr. Kai-Fu Lee, 2018"
Wherever we go we are Listening the word Artificial Intelligence but Some may knew about it and some don’t. And to help the people who are keen to know about Artificial Intelligence gave me an idea to start writing a blog. So the following blog is on Artificial Intelligence. Hope all readers will understand this and they like it!
So on entering into our blog, before knowing it’s potential we have to know:-
What is Artificial Intelligence?
It is a branch of Computer Science dealing with the Simulation of Intelligent Behaviour. AI includes everything that allows computer to learn how to solve problems and make intelligent decissions.
Why Artificial Intelligence?
As the amount of data that is generated by both humans and machines exceeds the human’s capability to analyse,interpret and make complex decisions based on that data. So AI came into picture which forms the basis for all computer learning and it can predicted as the future of all complex decision making.
How does AI work?
Before getting into that, we should know what is the Machine Learning ? It is a subset of AI that uses Computer Algorithms to analyse the data and to predict intelligent decisions based on what it has learned by using a layered neural networks instructions(Deep Learning),without programming explicitly.
How does AI Learn?
It Learn’s through 3 ways as mentioned below:-
1)Supervised Learning:- In this way of learning, it relies on human labelled datasets hence we need to provide more samples of data to get more precise in classifying new data.
2)Unsupervised Learning:- In this way of learning, it relies on giving the algorithm unlabelled data and letting AI to find patterns by itself.
3)Reinforcement Learning:- In this way of learning, it relies on providing a machine learning algorithm with rules and constraints and let AI to learn how to achieve goals by itself.
Different Ways of Describing AI:-
Based on their strength & Application they can be described as follows
1)Weak or Narrow AI:- This type of AI is applied to specific domain.In this it can perform specific tasks but has no ability to learn new ones.
2)Strong or Generalised AI:- This type of AI can interact and operate a wide variety of intependent and Unrelated tasks. It can learn new tasks and solve new problems by teaching itself new strategies.
3)Super or Conscious AI:- This type of AI is with human-level consciousness,which requires to be self aware in learning new things.
Present Challenges faced by AI :-
1)Data acquisition and storage:- To implement AI in our day to day life we have to train through various sets of data and which is needed to be stored in it’s database and to work better, AI should have sufficient amount of data. If not with small input variations in data gives dissimilar results on outcomes and predictions.
2)Ethical Challenges:- As we know AI algorithm predicts based on the model training. It will label things as per the assumption of data it is trained on. Hence, it will simply ignore the correctness of data which may result in fallacious prediction. Therefore, we need to make sure that the algorithms are fair, especially when it comes to industrial and corporate firms.
3)Lack of Computational Speed:- As AI, Machine learning and deep learning solutions require a high degree of computational speeds offered only by high-end processors. Larger infrastructure requirements and pricing associated with these processors has become a hindrance in their general adoption of the AI technology. Hence, it is imperative to develop next-gen computational infrastructure solutions.
Future of AI:-
The future of AI is based on only five terminologies they are:-
1)Modernize:- Makes your data ready for AI and to cloud world.
2)Collect:- Makes your data simple and easy to access.
3)Organise:- Creates a business analytics foundation.
4)Analyse:- Buids and scales AI with trust and explainability.
5)Infuse:- Operationalise AI throughout your business.
We can expect major developments of AI in many fields some of them are:-
1)Transportation
2)Manufacturing
3)Healthcare
4)Education
5)Media & Customer Service
Growth of AI:-
The artificial intelligence (AI) market, including software, hardware, and services, are forecast to grow 16.4% year over year in 2021 to $327.5 billion, according to the latest release of the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. By 2024, the market is expected to break the $500 billion mark with a five-year compound annual growth rate (CAGR) of 17.5% and total revenues reaching an impressive $554.3 billion.
References:-
Artificial Intelligence Problems:- https://www.cloudmoyo.com/blog/ai-ml-automation/top-10-potential-ai-artificial-intelligence-problems/
Future Data Prediction:- https://www.idc.com/getdoc.jsp?containerId=prUS47482321#:~:text=The%20AI%20Services%20category%20grew,reaching%20%2437.9%20billion%20by%202024.
