Artificial intelligence allows machines to replicate the capabilities of the human mind. From the development of self-driving cars to the proliferation of smart assistants like Siri and Alexa, AI is a growing part of everyday life. As a result, many tech companies across various industries are investing in artificially intelligent technologies.

WHAT IS ARTIFICIAL INTELLIGENCE?

Artificial intelligence is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

What Is AI?

Less than a decade after helping the Allied Forces in World War 2 by breaking the Nazi encryption machine Enigma, Mathematician Alan Turing changed history within a second with a simple question: “Can machines think?” 

Turing’s 1950 paper “Computing Machinery and Intelligence” and its subsequent, Turing Test established the fundamental goal and vision of the AI.   

At its core, AI is the branch of computer science that aims to answer Turing’s question in the affirmative. It is the endeavour to replicate or simulate human intelligence in machines. The expansive goal of AI has given rise to many questions and debates. So much so that no singular definition of the field is universally accepted.

Defining AI

The major limitation in defining AI as simply “building machines that are intelligent” is that it doesn\’t actually means what AI is and what makes a machine intelligent. AI is an interdisciplinary science with multiple approaches, but advancements in Machine Learning and Deep Learning are creating a paradigm shift in virtually every sector of the tech or software industry.

In their book Artificial Intelligence: A Modern Approach, authors Stuart Russell and Peter Norvig approach the concept of AI by define their work around the theme of intelligent agents in machines. With this in mind, AI is “the study of agents that receive precepts from the environment and perform actions.”

Machine Learning and Deep Learning

Much of Narrow AI is powered by breakthroughs in ML and deep learning. Understanding the difference between AI, ML and deep learning can be confusing. Venture capitalist Frank Chen provides a good overview of how to distinguish between them, noting.

Simply put, ML feeds a computer data and uses statistical techniques to help it “learn” how to get progressively better at a task, without having been specifically programmed for that task, eliminating the need for millions of lines of written code. ML consists of both supervised learning (using labelled data sets) and unsupervised learning (using unlabeled data sets).  

Deep learning is a type of ML that runs inputs through a biologically-inspired neural network architecture. The neural networks contain a number of hidden layers through which the data is processed, allowing the machine to go “deep” in its learning, making connections and weighting input for the best results.

What is an AI Chatbot

A chatbot is a computer program that uses Artificial intelligence (AI) and Natural language Processing (NLP) to understand customer questions and automate responses to them, simulating human conversation

Artificial Intelligence in Sectors

We include Ai to our chatbot not only for just features but also more of it Today’s world want more in AI.

Sectors where Ai rapidly grow with last 12 years:

• Health care
• Financial industry
• Automotive industry
• Transportation and Logistics
• Technology, Communications and Entertainment
• Retail
• Oil & Gas , Power & Utilities
• 8. Manufacturing
• 9. E-commerce

Speciality of our AI Chatbot

1. Artificial intelligence included Chat bot can Do many more than normal market chat bots

2. Our chat bot can easily Talk to a human by normal text.

3. Can Use as a customer support service

4. Our chat bot can useful for college also. (Example: If one put it in our colleges website , than anyone who want to seek location on map, admission, cut-off, no of labs, college info, notice, easily just with a single text.

5. We can easily add this chatbot to any website, Facebook messenger, Twitter, Or other platforms as an AI assistant.

6. Overall A single chat bot can connect people with Admission cell over phone or Message and Directly Forward To the concern authority over phone or mail just by simple messaging.

How our AI Chatbot Works?

Using cloud Technology add an edge over the  only Traditional programming

Lets take an example : if we intergrade This chat bot To our College’s any website(our any Facebook, WhatsApp, other platform) then a user can open our assistant by clicking in the icon and simply say hello and assistant will come back to them with a greeting. After that user can ask Location then it will show location of our college exactly , also they can ask to show Admission cell contact info’s then all the info would be shown by assistant. Even if possible it can connect call or SMS directly to the admission seekers to the admission concerned authority for assists! Any event, notice, data can be shown by this with simple one click to save our valuable time.

This ai chatbot can easily added to any website or ecommerce platform to give customer service to the consumer also.

Chatbots in Daily Life Uses

In our daily life we are very much habituated with online shopping or other things. Many times, when we use Flipkart Amazon for buy something. That time we can see some chatbot appear and ask for our queries or help us to find our desire things. Sometimes it also notifies us for some very special discounts.

In other hand if we use Swiggy or Zomato to order food that time a chatbot appear to help us to find with good deals or previous orders and inform about restaurants.

In also government sector a chatbot also use in IRCTC website. That chatbot help us to be familiar with that site and not get any trouble.

So we can see our daily life we this chatbots helps us to do our work easily.

Chatbot Marketing

Market	Chatbot Market
Market Size 2021	USD 521 Million
Market Forecast 2030	USD 3,411 Million
CAGR During 2022 – 2030	23.7%
Analysis Period	2018 – 2030
Base Year	2021
Forecast Data	2022 – 2030
Segments Covered	By Type, By Application, By Product Landscape, By End-User, And By Geography
Regional Scope	North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
Key Companies Profiled	Facebook, Inc., Pandorabots, Inc., ToyTalk (PullString Inc.), Google, Inc., Yahoo Inc., Haptik, Inc., Helpshift, Kasisto Inc., Slack Technologies, Inc., Astute Solutions, Kiwi, Inc., and Microsoft Corporation.
Report Coverage	Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis
Customization Scope	10 hrs of free customization and expert consultation

Virtual Customer service

1. This Ai chatbot is specialised  for giving superior customer service as a virtual agent.

2. Business owners may use this on their business website or app for giving a limited sector of customer services. Just like we can consider for E-Commerce business.

                                                      1. Orders, Live-Chat, Redirect links, Other confirmation and messages with security verification like phone number with otp verification. 

3.Resturents and Hotels: It has a superior Ai System that can be used for directly contacting restaurants and hotels through web chat. In fact they can provide their API to book their rooms and restaurants tables. Total customized solution included here.