WHAT IS ARTIFICIAL INTELLIGENCE

 

What is AI  (FULL FORM OF AI)
 

AI, stands for artificial intelligence, it is a branch of computer science which develops machine systems capable of demonstrating behavior linked to human intelligence. AI programs use data collection from different interactions to improve the way they imitate humans in order to perform tasks such as learning, planning, knowledge representation, perception and problem-solving. 

Artificial intelligence technology is used for a wide range of applications such as web development, an automated chatbots for customer service, product recommendations based on a user’s habits, speech recognition. Mainly the purpose of AI is to improve the systems we already use by automating tasks to make them more efficient. 

How AI work

AI systems process large amounts of data through algorithms in order to find patterns which help them understand and replicate human intelligence by predicting future behaviour from an end-user.

In order to do this, an AI system needs to be built based on three main cognitive skills:

 

• Learning: an AI program needs to be able to collect information that is turned into algorithms.
• Reasoning: once the algorithms are set, the AI needs to know how to select the right one for different sit.
• Self-correction: in any AI machine, the algorithms required to be regularly updated based on new data in order to get a more accurate and efficient result.

 

The primary benefit of using AI is that these systems can potentially complete tasks better and more efficiently than humans. This is especially relevant when it comes to ordinary or repetitive tasks, which these machines are able to perform at a higher pace and with a much lower chance of error.

The main types of artificial intelligence

In order to fully understand what is AI and how it function, one must take into account the current state of artificial intelligence and the potential scenarios towards which it can evolve as the technology is further developed. 

01. Reactive machines 

In reactive machines, the AI’s main goal is to complete a task by reacting to the information available to it. This type of artificial intelligence system is not able to store memory of previous data. Therefore it can’t use data in order to fine-tune its responses to a present task. because of this, reactive AI machines are generally used to perform specific tasks with set outcomes rather than learn from different scenarios. 

02. Limited memory 

Unlike other reactive machines, a limited memory AI system is able to learn to a limited extent, from the information it has already seen in order to inform its future actions. The opportunities with limited memory AI systems are a lot greater since they are able to improve their behaviour using the data they are exposed to.

 

In order to create this limited memory, human teams required to train the AI system with a model so that it can learn to analyse new data. The machine required to be consistently exposed to new data so that when it counter by a user, it has the existing memory necessary to predict what comes next. An example of limited memory technology is self-driving cars, which are exposed to enough data and models of different driving scenarios so that it can make its own decisions when on the road.

03. Theory of mind 

Theory of mind AI systems have a much deeper psychological core, as they are capable to read and interpret human emotions and learn from social intelligence in addition to raw data. It is yet to achieve this level of artificial intelligence in our society, however AI programs falling under the theory of mind category would be able to understand how humans make decisions based on emotions so that it could more accurately predict humane behaviour. This would allow for more of a cohesive relationship between humane and AI-powered machines.

 

04. Self-awareness 

The self-aware type of artificial intelligence does not exist, but might produce up images from films of robots taking over humanity .While that scenario is highly unlikely, the notion of AI developing into something with consciousness is the final type of artificial intelligence technology. 

Common examples of artificial intelligence applications 

AI can be used in various industry in order to facilitate function more efficient and to reduce the workload on workers. Here are some recognizable types of artificial intelligence that are commonly used in day to day.

Education 

AI is used in all levels of education to make a teacher’s life easier and improve the experience of students in a classroom. AI programs are currently helping teachers to help more efficiently to teach the students and it will reduce the timing, It also allows for a more personalized learning experience for students.

 

Healthcare 

In the field of healthcare, AI is being utilised in order to help the medical staff to monitor, diagnose, and treat patients efficiently in fast manner. Since AI today is able to adapt based on the data it learns and collect more data from different patients and utilised the better it develops into an essential tool.

Finance 

Within the finance industry, AI is used across the board, from personal finance tools to stock exchanges. Tax return software uses AI-powered technology to provide financial tips based on personal data that is collected through the program. Not only that, traders in stock market and statisticians are relying on artificial intelligence to process big amounts of data and utilised in investment and trading. 

Business 

AI has reached to a various areas of business, it assisting customer service teams with automated chats to analysing data in customer relationship management programs. The AI in customer relationship programs facilitate businesses to better understand their clients by analysing their previous buying habits in order to recommend new products . AI technology is also used in the recruiting process to help HR teams to screen large numbers of resumes to find the best suitable candidates. 

Online marketing 

AI has become an important part of digital marketing by helping marketers to pick up trends very quickly. It also helps to personalize content in a better and easier way, especially when it comes to email marketing content. Email marketers can use AI to send a personalized message to each customer at the right time, improving the chances of sending an email that converts to buy the products and increase the business revenue. Users can now create a custom website completely with AI-powered technology. For example, users can build a website in a few minutes just by answering a few questions. 

Manufacturing 

Factories and workshops are using AI technology to automate and streamline many time-consuming and tedious manufacturing processes. The manufacturing industry are focusing to increase the productivity with the help of AI machines allow them to produce stock in large quantity lot more quickly and safely. Using AI technology on the production line allows manufacturers to create smart operations that reduce both time and cost. 

Voice recognition 

Voice recognition software is now familiarised in our daily lives. Asking Alexa how the weather is outside and with similar many function both of how we use AI day-to-day. Over time, when we use this voice recognition technology more frequently, the AI learns to get to know us better so that it can offer responses more customised related to our personalities, such as song choices or search results. 

Transportation 

Transportation is another industry where AI is being utilised in great extent . Self-driving cars are what first comes to mind, but there are other types of AI used in everyday transportation that make our lives a lot simpler, such as mobile apps’ ability to predict and manage traffic or foresee flight delays. When it comes to ride-sharing, AI technology is used to predict surges in demand on apps such as Uber and Ola and helps increase the availability of drivers in that particular area with high demand ahead of time. 

Chatbots 

Chatbots are used in many customer service teams to help filter the number of users who interact with real customer service agents and provide more immediate and promptly answers. These chatbots use an AI that is able to answer basic questions based on certain keywords a customer types in as per his requirement. Some of them are even able to offer near-human-level customer service, while others simply help to connect customers to the right department or human service agent.

Law

The field of law is another industry where AI technology is helping professionals to work more efficiently. Lawyers are often faced with analysing through thousands of documents during the study and understanding of a case to find the most relevant ones. Today, AI technology are being utilised in law firms to review and analyse the document for better results. Additionally other types of AI software are being utilised to forecast all the different outcomes of cases that go to trial so that lawyers can see the likelihood of winning or whether they should settle. 

eCommerce

Frequent online shoppers might experience that the online stores they visit often tend to know exactly what they’re shopping for. Online such as Amazon use AI to learn which type of products each individual shopper tends to purchase or even just look at, and then make product recommendations based on their search. The information gathered by AI while consumers shop online is then used in other e-commerce tools. 

Security 

AI is used to reduce threats in both security for in-person events as well as in cybersecurity .Technologies like facial recognition or biometric registration work together with AI to scan attendees at an event in order to reduce the chances of laps in security checks. In cybersecurity, AI is trained to detect new threats, such as malware or bots, and fight to remove them from a system in order to protect sensitive data. 

Banking 

The banking sector uses AI in similar ways to the business and finance industry. Chatbots are often used by banks to offer more immediate and e customer service, while artificial intelligence security programs for customer authentication are used to make accounts more secure and help to detect and prevent fraudulent activities. Additionally, banks also need to process big amounts of data for compliance processes such as Anti-Money Laundering and Know Your Customer (KYC). To better understand customer behaviour, banks use AI algorithms to analyse the data and investigate when there are anomalies. 

Streaming services 

Media streaming services such as Spotify, Netflix operate a lot like online shopping. These streaming services are utilised AI to understand a users preferences in order to make recommendations. When a user chooses a song and Spotify plays the next one, or when Netflix shows a preview of a show based on the basis of was previously viewed. How the AI technology at work.