Data & AI
Artificial intelligence is the field of computer science concerned with building systems that can perform tasks requiring human-like intelligence — such as reasoning, language understanding, visual perception, and decision-making.
AI encompasses a broad range of techniques, from classical rule-based expert systems and search algorithms to modern machine learning and deep neural networks. Narrow AI (the current dominant form) excels at specific tasks like playing chess, translating text, or detecting tumours in medical images, but lacks the general adaptability of human cognition. Practical AI applications are reshaping industries: natural language processing powers chatbots and document analysis, computer vision enables quality control in manufacturing, and predictive analytics optimises supply chains. The rapid advancement of foundation models and large language models since 2020 has made AI capabilities accessible to software developers through APIs, dramatically lowering the barrier to building AI-powered products.
Example
An Ahmedabad-based custom software firm integrates an AI-powered document parsing module into a client's ERP, automatically extracting vendor names, amounts, and due dates from uploaded invoices.
Related terms
Machine Learning
Machine learning is a branch of artificial intelligence in which systems learn to make predictions or decisions by identifying patterns in data, rather than being explicitly programmed with rules.
LLM (Large Language Model)
An LLM is a type of AI model trained on massive text datasets to understand and generate human language, capable of tasks such as question answering, summarisation, code generation, and conversational dialogue.
Business Intelligence
Business intelligence (BI) refers to the technologies, processes, and practices for collecting, integrating, analysing, and presenting business data to support informed, evidence-based decision-making.
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