The easiest way to explain what is an AI Chatbot is to show you.

But first, a few questions answered, as follows:

• What is a Chatbot? It uses artificial intelligence to understand what people are saying and respond in a way that makes sense. Chatbots can be used on websites, messaging apps, or other platforms to provide information, answer questions, and help with different tasks, all through a chat-like interface. They're like virtual assistants that can communicate with you and provide assistance or information around the clock.

• What is ChatGPT? ChatGPT is an advanced computer tool developed for interacting with people through text conversations. It's designed to understand what people say and provide relevant and helpful responses. In a business setting, ChatGPT can serve various purposes. It can handle customer inquiries and provide quick answers, generate content like emails or reports, help brainstorm ideas, and even facilitate virtual discussions during meetings. Essentially, it's a versatile tool that can enhance communication and productivity in the workplace by providing accurate information and assisting with various tasks through text-based conversations.

• What is the difference between a Chatbot and an AI Chatbot? In simple terms, while both chatbots and AI chatbots are meant to interact with people through text-based conversations, AI chatbots use smarter technology to make those interactions feel more natural and effective. They can understand language better, learn from experience, and offer more personalized and helpful responses.

• Why is an AI Chatbot a superior solution for business use? An AI chatbot enhances customer engagement, provides efficient support, and contributes to a positive brand image, making it an excellent choice for businesses looking to improve their customer service and operational efficiency.

• Where does an IA Chatbot get its information? An AI chatbot gets its information from various sources, which enables it to provide accurate and helpful responses to user queries. Here are some common sources of information for an AI chatbot:

• Predefined Knowledge: Developers can program the chatbot with a base of knowledge about the business, its products or services, frequently asked questions, and other relevant information.

• Databases: Chatbots can be connected to databases that contain structured information. This could include product details, pricing, availability, and more.

• Website Content: Chatbots can access information from the company's website, such as blog posts, articles, and product descriptions.

• APIs (Application Programming Interfaces): Chatbots can connect to external services and APIs to fetch real-time data. For example, they can provide weather updates, flight information, or news headlines by interfacing with relevant APIs.

• Training Data: Many AI chatbots are trained on large datasets of text from the internet. This helps them understand language patterns and context. However, it's important to note that not all chatbots use this approach, as some prioritize privacy and security.

• Customer Interactions: Over time, an AI chatbot learns from user interactions. It can use the patterns and information from these conversations to provide better responses in the future.

• Feedback and Corrections: When users correct the chatbot's responses or provide additional information, the chatbot can learn from these corrections to improve its accuracy.

• Knowledge Updates: Developers can periodically update the chatbot's knowledge base to include new information, products, services, and changes in business operations.

• Machine Learning Models: Some advanced chatbots use machine learning models that continuously learn from new data, allowing them to adapt and improve over time.

An AI chatbot gathers information from various programmed and learned sources to provide informed and relevant responses to users' questions and requests.

We have created some subject area prompts to help us to understand the viewer's key interest area. This is used for conversation follow-up. It invites the viewer to ask questions while offering a professional response, promoting a subsequent call to action. It then invites viewers to leave their information for a courtesy follow-up call.

All information is captured, including the conversation content and questions asked. All contact information can be passed to a Google Sheet (as shown), to a CRM and/or automated e-mail responder. An automated calendar booking system can also be incorporated, inviting the viewer to schedule a meeting appointment.

You cannot do virtually anything with this technology (double-negative!).