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What are Bots?
What are Bots Used For?
Bots have diverse applications across industries and sectors:
Customer Support: Bots are widely used in customer support to provide instant responses to frequently asked questions, resolving issues promptly and escalating complex queries to human agents.
Personal Assistants: Virtual personal assistants like Siri, Alexa and Google Assistant are examples of bots that help users with tasks such as setting reminders, searching the web and controlling smart home devices.
E-commerce: Bots are used in e-commerce to offer personalised product recommendations, track orders and provide a seamless shopping experience.
Marketing and Sales: Chatbots can engage website visitors, qualify leads and guide them through the sales funnel, improving conversion rates.
Social Media: Social media bots automate posting, engage with users and analyse trends and sentiments.
The Difference between AI & Chatbot
The terms “AI” and “chatbot” are often used interchangeably, but they represent distinct concepts:
AI (Artificial Intelligence): AI is the overarching technology that empowers machines to perform tasks that typically require human intelligence, such as learning, reasoning and problem-solving.
Chatbot: A chatbot is a specific application of AI that uses NLP and other AI techniques to converse with users via text or speech. Chatbots can be powered by AI, but not all AI systems are chatbots.
AI Technologies used in Chatbots
Chatbots leverage various AI technologies to provide intelligent responses and interactions:
Natural Language Processing (NLP): NLP enables chatbots to understand and interpret human language, allowing for more human-like conversations.
Machine Learning (ML): ML algorithms enable chatbots to learn from data, improve responses and adapt to user preferences over time.
Deep Learning: A subset of ML, deep learning is used to process vast amounts of data and identify patterns, enabling chatbots to handle complex queries.
Natural Language Understanding (NLU): NLU focuses on extracting meaning and context from user input, improving chatbot accuracy.
