Introduction:
Artificial intelligence (AI) has already dominated almost every field of our life. It is not even possible to think of today’s world without it. Its user base is gradually increasing day by day.
It is responsible for doing any type of difficult or dangerous work. As we all know that it is a human made invention. It does not have any emotion.
For this reason it can do any type of difficult or dangerous work. It can also do the works that are not even imaginable for humans to do.
There are some fields in which it has dominated till now and in the upcoming days it will dominate every field of our workplace.
But it has given us some advantages by which we can do our work faster and in a quicker way. Let’s know the field where it has already dominated or will dominate in future.
What is Artificial Intelligence?
Artificial intelligence (AI) is the method of converting human thoughts artificially through computer devices.
It is commonly known as the subject computer science which includes intelligent machines. If we can think of a robot, then the intelligence of robots will be called artificial intelligence.
There are various types of input in the computer by which the computer can make decisions when it is needed for.
Brief History of Artificial Intelligence:
In 1956, an American computer scientist named John McCarthy of American MIT (Massachusetts Institute of Technology) used the word artificial intelligence.
Alan Turing is regarded as the father of artificial intelligence. His Turing test has a great contribution as the basis of it.
The Turing test is the type of examination through which one can understand whether a machine has the ability of thinking or not.
If a machine passes the test, the person can understand whether the machine is artificial intelligence or not.
Generally people think that Alan Turing is the father of artificial intelligence, but he is mostly popular for theoretical physics.
In which field AI is dominating?
It has already dominated in every field of our life. Among them some are given below:-
Healthcare:
- Data Analysis and Pattern Recognition: AI systems are trained on a huge amount of medical data which includes electronic health records, medical images and clinical notes.
- Machine learning: Machine learning algorithms can notice patterns, correlations by using which it is possible for AI to detect but which is not clear to humans.
- Medical Image Explanation: It is playing an important role in the field of analysis of medical imaging, such as X-rays, CT Scans and MRIs.
- Convolutional Neural Network (CNNs): Convolutional Neural Network (CNNs) are frequently used for image recognition tasks, helping AI systems to detect abnormalities, tumours and various types of anomalies in medical images.
- Customised Treatment plans: AI analyses patient data which includes genetic information and medical history, to create customised treatment plans.
Education:
- Customised learning: AI algorithms can analyse student performance data by which they can identify individual learning strengths and weaknesses.
- Problem Solving: It has the ability to solve complex problems. It can also solve critical mathematical terms such as Macsyma.
- Learning platforms: It has adjusted its content and teaching strategies resulting that students face challenges at a suitable level.
- Online Learning: Chatbots and virtual assistants help the student to give answers to their specific queries and give support outside regular classes hours.
- Automated Grading and Assessments: It has the ability to automate the grading of assignments, quizzes and exams, saving educators time and authorising quicker feedback to students.
Finance:
- Algorithmic Trading: AI based algorithms analyse market data to make the decisions to sell or buy within a very short time which is almost not possible for humans.
- Market Conditions: Machine learning models can adjust and enhance trading strategies depending on changeable market conditions.
- Fraud detection and prevention: Systems have the ability to find out unexpected patterns in transactions to identify and prevent activities related to fraud.
- Customizable Financial Advice: Artificial intelligence I based system can offer investment advice based on individual financial goals, risk tolerance and market conditions.
- Blockchain and Cryptocurrency: It’s technologies are used to analyze and manage blockchain transactions in cryptocurrencies. Smart contracts by technology are responsible to automate and secure transactions in blockchain based financial systems.
Cybersecurity:
- Threat Detection and Analysis: AI systems can analyse datasets to find patterns that may indicate malicious activities. Machine learning models can detect new threats, improving the accuracy of threat detection.
- Behavioural Analysis: It can identify deviations that can indicate a security threat.
- User and Entity Behaviour Analytics (UEBA): It analyses the behaviour of users within an organisation to detect threads or risked accounts. UEBA uses machine learning to find out unexpected patterns and potential security risks.
- AI in Threat Intelligence: It is used to analyse huge amounts of threat intelligence data to find out threats and vulnerabilities. Automated systems can organise threat information to security teams.
- Network Security: It is used to observe network traffic for unusual patterns and potential security threats. Intrusion detection and prevention systems enhance AI to find out and block malicious activities on networks.
Retail:
- Recommendation Systems: It finds out customer behaviour to provide customised product recommendations.
- Inventory Management: AI updates inventory levels by prediction of demand and reducing overstocks.
- Chatbots: AI based chatbots improves by assisting with inquiries and facilitating purchases.
- Customised Marketing Campaigns: It helps to create and deliver customised marketing campaigns baked on customer’s feedback and behaviour. Its benefit is that it boosts customer engagement, builds brand loyalty and improves effectiveness of marketing efforts.
- Supply Chain Optimisation: It is used to optimise supply chain processes, predicting demand, managing logistics and improving total efficiency and saving time. Its benefits are reduced costs, minimises stock outs, and improves the overall performance of the supply chain.
Some Random applications of AI:
- Driving cars and aeroplanes without a human driver.
- For finding and defusing dangerous bombs.
- For providing customer service. Example: Automated Online Assistants.
- In recreation and playing video games.
- In huge, difficult and critical works.
- In automatic reservation of information and analysation.
- For planning and making a schedule.
- In finding out the problems of several types of devices.
Conclusion:
We have covered the most impactful fields where AI is doing a great job. But we should keep in mind that if we are depending on it completely instead of that we can use it and human intelligence to leverage our works.
There are more fields in which artificial intelligence is dominating. If you want to know more about artificial intelligence then you can stay with us. Stay with us for more updates!
