Technology has grown advanced by several leaps and bounds in the past few years. With the emerging areas of technology like Artificial Intelligence, technology has become an inevitable part of our modern lives. AI has witnessed a massive development at a rapid pace and has a lot of future scope. 

In this article we will be highlighting the basics of Artificial Intelligence that would give you a fair idea about this emerging technology as a beginner.

What is Artificial Intelligence (AI)?

Artificial Intelligence is the technology that enables the computers (machines) for stimulating and depicting a human-like intelligence. This includes interaction, linguistics, learning, interpretation, image processing, reasoning, and decision making. AI makes machines mimic the cognitive abilities so as to depict a human-like behavior.

The key idea that led to the inception of Artificial Intelligence is to personalize the computer-oriented functions. Apart from this, it also aims to cut down the human dependencies for specialized tasks, with the use of advanced computer-based operations for them. 

AI is meant to assist professionals in specialized fields by extending logical decision-making services at larger scales. It has helped to offer a highly personalized service to customers. Many software assistants like Alexa, Siri, Google Assistant, and Cortana are built using the technology of AI.

There are two types of AI namely: Weak AI and Strong AI.

Weak AI

Weak AI or Narrow AI is an approach of AI that focuses on a specific task where the machine has to act as per the rules that are laid. For the proper functioning of a Weak AI system, one has to manually feed all the rules and possible scenario to the system prior to the functioning. It is based on these rules that the machine acts. 

Strong AI

Strong AI, is the approach used in AI that enables the machines to perform tasks on its own, similar to that of humans. Strong AI is still very new and the extensive research on this subject is performed so as to develop a Strong AI system.

Why is Artificial Intelligence significant?

AI makes the tasks a lot easier by enabling the machines to learn from their environment, past experiences, simulations and accordingly map their efforts to results. With the AI machines can now identify the errors, correct them wherever required, adjust as per the environment simulations, and perform tasks effortlessly similar to that of humans in sync with the surrounding scenarios. 

What are the objectives of Artificial Intelligence?

Here are the main objectives of Artificial Intelligence that has given pace to this emerging industry:

1. Creating Expert Systems

AI has led to the creation of various automated systems in different capacities that are meant to depict cognitive behavioral attributes and human-like intelligence so as to assist and advice humans on specialized tasks that require rigorous analysis.

2. Implementing Human-like Intelligence in Computers

AI helps in creating human-like cognitive patterns and attributes in computers using software programming and algorithmic modelling. This enables the machines to behave like humans and make them capable enough to take appropriate actions by leveraging the advanced problem-solving tactics. 

Thereby automating the processes and reduce the human workload by minimizing dependencies by applying algorithms and data models.

3. Make your Application multi domain in nature

AI is a versatile technology that extends its benefits over multiple domains that could make the human lives easier. These domains include Computer Science, Statistics, Psychology, Cognitive Science, Engineering, Medical Science, Ethics, Healthcare, Natural Sciences, Space Technology, Linguistics, Logic, ECommerce, and many more.

4. Applying AI in areas of Computer Science

AI enables the development of different mechanisms which are capable of solving many complex problems in the area of computer science. These complex problems include Search and Optimization, Control Theory, Logic, Language Analysis, Classifiers,  Neural Networks, Probabilistic, and Statistical Learning Methods, to assist reasoning.

How did Artificial Intelligence evolve?

The term Artificial Intelligence came into existence in the year 1956 by a scientist named John McCarthy. Since then it has gained a lot of traction in the industry especially in today’s era  due to the larger data volumes, evolution in the computer storage and power, growth of algorithms and programming in the field of Science and Technology.

Which techniques are used for building and implementing AI systems?

1. Natural Language Processing (NLP)

Natural Language Processing is the study of the ways in which computers interact using a natural human language so as to derive a better understanding in the process of taking appropriate actions for a given task. NLP has two major applications namely: Speech recognition and synthesis. 

The classic example of NLP application are the Voice assistants like Siri, Amazon’s Alexa, Google Assistant, Cortana, etc that have successfully implemented NLP. Other NLP mechanisms that are used include parsing, part-of-speech tagging, text recognition, text mining, machine translation, information retrieval, and machine translation,

2. Vector Machines

Vector machines assist in information classification that is based on a specific parameter value. It uses distinction for classification, which plays a key role in implementation of the vector machines. Some of the applications of Vector Machines include: text recognition, voice recognition, face recognition, and image recognition systems.

3. Heuristics

During the learning processes, humans tend to get an understanding of their mistakes and avoid them. This approach of constant improvisation lays the fundamental of Heuristics, which also works on the trial and error pattern. Heuristics involves machines to map errors and make corrections in a pattern that is similar to that of human brains.

4. Artificial Neural Networks (ANN)

ANN is a technique that is modeled on the basis of the wiring in the human brain and subsequently copying behavior. This is done by identification of patterns in the data inputs. It processes data in large volumes so as to recognize the patterns in it and map them accordingly in order to make decisions in a way the human brain does. 

So as to implement this, ANN uses various methods that includes unsupervised learning, supervised learning, reinforced learning, pattern recognition, deep learning, and machine learning to mimic the learning behavior depicted by humans.

Benefits of using Artificial Intelligence 

AI is an advanced technology that has made several advancements in the different walks of life. Some of the key benefits of using Artificial Intelligence includes:

1. Automating the Customer Interactions

Keeping the customers engaged with an efficient communication is the key to customer satisfaction. While a majority of the customer interactions have requirements of human intervention, AI tends to make the human intervention minimum by automating various conversation methods. 

This includes mediums of communication such as emails, online chats, calls, query responses, social media conversations, purchase advice, and many more. This is done by storing and analyzing the patterns of previous customer interaction so as to provide a better customer experience.

2. Real-Time Assistance

AI provides real-time assistance. It is highly beneficial for businesses that are required to constantly cater their services to the needs of a large section of customers in real-time, where the time constraints are strict and margins are less. 

One of the examples is an airline ticket management system, where each of the customers have to be updated with the relevant information such as real-time weather and information regarding the flight status in a personalized manner.

3. Data Mining Capabilities

Using cloud-based AI will quickly discover relevant information after the processing of big data. This could provide better insights into how to improve business performance and gain a competitive edge.

4. Power of Prediction

AI systems are based on data analysis of the past and help make predictions with the dynamic information they possess. Many inventory management systems and online marketplaces use this benefit of Artificial intelligence to leverage their sales and determine which products need to be stocked up for sales.

5. Operational Automation

AI systems extend cross-functional intelligence for operational automation. They easily collaborate with other technologies to do so in various fields. Inventory tracking has been made easy by collaborating with RFID and Cloud technology.

Real life applications of Artificial Intelligence 

Here are some real life applications that are made using Artificial Intelligence:

Future Scope of Artificial Intelligence

While the bigwigs like Google and Uber are already leveraging the AI capabilities to power their ambitious self-driven cars projects. AI have great future prospects in the automated transportation field where it could be soon aiding handicapped drivers and assisting in the prevention of accidents.

Other areas include space research, where the huge projects are conceptualized using the AI methods and are further implemented; medical science, where research and aid uses AI to advance the facilities that are extended to the patients. 

With a lot of scope in various sections of the industry, each one having their own advancements, AI is here to stay for sure and make lives a lot easier.

How Chapter247 Infotech is leveraging AI to offer advanced tech solutions?

At Chapter247 Infotech, we have been relentlessly working on developing AI-based Chatbots that not only assist the business websites client support portals but are also intelligent and responsive making customer experience better without human intervention.

We have also been working on creating several applications that are influenced by advanced AI-based technologies such as Natural Language Processing, Speech Recognition, text mining, Natural Language Generation, analytics, and Virtual Assistants like Alexa. 

We add the intelligence factor to your existing products in the market by combining the technologies such as automation, bots, conversation, smart learning, and security, giving your business a competitive edge in the market amidst the stiff competition.

Feel free to contact us to explore better possibilities to make you business more engaging and efficient for the customers.

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