CHAT BOT

Introduction:

chatbot is a computer program designed to simulate conversation with human users.These programs are often used to automate tasks or provide information to users.  chatbots can interact with users by text or voice. They can be programmed to respond to a wide range of Queries, from basic to complex. Chatbots are becoming an increasingly popular tool for businesses looking to elevate customer experience.

Teaching a machine to carry out a meaningful conversation with a human in multiple domains.chatbots used in healthcare,e-commerce,banking and finance, and also used by the government.Chatbots are utilized in various applications, such as customer service, virtual assistants, and entertainment.

Example: 

We can create data analytics related chatbots, chatbot able to answer questions related to data analytics only.

Chatbot Types:

1. Button-based chatbots

button-based chatbots are the most basic chatbot where users can interact with them by clicking on the button option from a  menu. Depending on what the user clicks on, the simple chatbot may prompt another set of options for the user to choose until reaching a specific option. 

Drawbacks:

• These chatbots offer simple functionality and can be helpful for answering users’ repetitive, straight-forward questions. they struggle when faced with more complex requests.

• chatbot may take longer time to understand the customers’ needs.

2. Rules-based chatbots

A rule-based bot is a set of predetermined rules that behave in a particular way based on the user's behavior and responses. so the chatbot can understand the user’s input and respond accurately.These kinds of chatbots are  easy to train and work well when asked predefined questions.

Drawbacks:

•   These chatbots struggle to answer questions that haven’t been predicted by the programmer.

•   When the chatbot can’t understand the user’s request, it misses important details and asks the user to repeat information that was already shared.

3. Keyword recognition-based chatbots:

Keyword recognition-based chatbots can listen to what users type and respond appropriately. These chatbots utilize customizable keywords and an AI application - Natural Language Processing (NLP) to determine how to serve an appropriate response to the user.

Drawbacks:

Keyword recognition-based chatbots fall short when they have to answer a lot of similar questions.

 4. Hybrid chatbot:

The hybrid chatbot model is one of the best chatbots as it offers the best of both. the   rules-based chatbots, with the complexity of the AI-bots. 

5. AI-powered chatbots 

• AI chatbots can understand a user's questions, however they’re phrased. With AI and natural language understanding (NLU) capabilities, the AI bot can quickly detect all relevant contextual information shared by the user.

• When the AI-powered chatbot is unsure of what a person is asking, it can ask clarifying questions. Further, it can show a list of possible actions from which the user can select the option that aligns with their needs.

• AI chatbots allow it to self-learn and develop an increasingly intelligent knowledge base of questions and responses that are based on user interactions. With deep learning, the longer an AI chatbot has been in operation, the better it can understand what the user wants to accomplish and provide more detailed, accurate responses.

6. Voice chatbots:

• A voice chatbot  allows users to interact with the bot by speaking to it, rather than typing. 

• AI-powered voice chatbots can offer the same advanced functionalities as AI chatbots, but they are deployed on voice channels and use text to speech and speech to text technology. 

• While chat and voice bots both aim to identify the needs of users and provide helpful responses, voice chat bots can offer a quicker and more convenient communication method.

Siri, Alexa, and Google Assistant are examples for Conversational AI Chatbots.

AI chatbot for data analytics:

AI chatbots can help businesses overcome the challenges of manual data analysis. Here are some of the key benefits of using an AI chatbot for data analytics:

• Speed: AI chatbots can analyze data much faster  than humans. 

• Accuracy: AI chatbots are less prone to errors compared to humans, the insights they provide are more accurate and reliable.

• Scalability: AI chatbots can process large volumes of data, making it possible to analyze and gain insights from massive datasets.

AI chatbots can be used in various industries for data analytics.

Here are some examples:

1. Healthcare:

AI chatbots can analyze patient data to identify patterns and trends, which can help healthcare providers make informed decisions about patient care.

• Patient Monitoring

AI chatbots could analyze patient data from wearable devices, such as heart rate monitors or blood glucose monitors, and alert healthcare providers if there are any concerning trends or patterns.

• Mental Health

AI chatbots could be used to analyze patient data from mental health apps and provide personalized support and resources to patients.

2. Finance:

• In finance, AI chatbots can analyze financial data to detect fraud, assess risks, identify investment opportunities, and provide personalized financial advice to customers.

• Additionally, AI chatbots can provide customer support by answering queries on account balances, transaction history, and loan applications.

3. Insurance:

• AI chatbots can analyze Insurance companies data related to claims, policyholders  to identify patterns and trends that can help insurers improve their risk assessments and underwriting processes.

•  AI chatbots can help automate claims processing and customer support, improving response times and customer satisfaction.

4. Retail:

AI chatbots can help retailers analyze customer behavior and preferences, enabling them to provide personalized recommendations and offers.

5. Manufacturing:

Manufacturing companies generate vast amounts of data related to production processes, supply chain management.

AI chatbots can analyze this data to identify inefficiencies, optimize production processes, and reduce waste.