Chatbot
An AI-powered conversational agent that interacts with users through text or voice, handling customer service, information retrieval, and task completion across websites, apps, and messaging platforms.
The chatbot market is projected to reach $27.3 billion by 2030, growing at 23.3% CAGR. AI chatbots handle 70%+ of routine customer inquiries without human intervention at leading enterprises. ChatGPT has 100+ million weekly active users, while enterprise chatbots process billions of interactions daily. LLM-powered chatbots have dramatically improved natural language understanding compared to rule-based predecessors. Customer service (56%) is the top enterprise use case for AI. Key challenges include hallucination, handling complex multi-turn conversations, and seamless escalation to human agents when needed.
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ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Enterprise AI Adoption
The rate at which businesses integrate AI technologies into their operations, measured across functions like customer service, software development, marketing, and supply chain management.
Generative AI
AI systems that can create new content — text, images, code, audio, video — rather than simply analyzing or classifying existing data. Large language models and diffusion models are the primary architectures.
GPU (Graphics Processing Unit)
A specialized processor originally designed for rendering graphics, now the primary hardware used for training and running AI models due to its parallel processing capabilities.
Large Language Model (LLM)
An AI model trained on vast amounts of text data that can understand, generate, and manipulate human language. LLMs power chatbots, coding assistants, and content generation tools.
NVIDIA
The dominant manufacturer of GPUs used for AI training and inference, commanding approximately 64% of the $66.2 billion AI chip market as of 2024.
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