Robotic Process Automation (RPA)
Software that automates repetitive, rule-based digital tasks by mimicking human interactions with computer systems, increasingly enhanced with AI for handling unstructured data and exceptions.
The RPA market was valued at $13.4 billion in 2024, with UiPath, Automation Anywhere, and Blue Prism as leading vendors. Traditional RPA handles structured, rule-based tasks (form filling, data transfer), while AI-enhanced RPA (intelligent automation) can process unstructured data like emails and documents. Organizations report 20-30% cost savings from RPA deployments. The convergence of RPA with generative AI is creating 'hyperautomation' — the combination of multiple automation technologies. Gartner predicts that by 2026, organizations will cut operational costs by 30% through combining hyperautomation and redesigned processes.
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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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