Artificial Intelligence (AI) is the field of computer science that builds systems capable of performing tasks that usually require human intelligence. These tasks include decision-making, language understanding, visual recognition, and pattern detection.
How AI Works
AI systems operate by analysing large amounts of data, identifying patterns, and making predictions or decisions based on that input. Most AI applications run on algorithms that improve through training. Some systems are rule-based, while others use more adaptive methods like machine learning or neural networks.
AI can be narrow or general. Most enterprise use cases today involve narrow AI, which focuses on specific tasks such as fraud detection, voice assistants, or customer segmentation.
Why AI Is Being Adopted
AI helps businesses work faster and smarter. It can automate repetitive tasks, find insights in data, and improve accuracy in processes. In customer service, AI powers chatbots and virtual agents. In operations, it predicts demand and optimises resource use.
For enterprises, the real value of AI lies in scaling decision-making without increasing manpower. This improves output while reducing error and fatigue.
AI Use Cases in India
Indian companies are adopting Artificial Intelligence across sectors. Banks use it for risk scoring and compliance. Hospitals use it to assist diagnostics. Retailers use AI to personalise shopping. Manufacturing firms use it to predict equipment failure and reduce downtime. Government projects are also experimenting with AI in agriculture, transport, and citizen services.
What You Should Know
AI is not a product. It is a set of capabilities that must be aligned with your business context. It needs good data, clear goals, and careful governance. The challenge is not just choosing the right tools, but ensuring the output is accurate, ethical, and explainable.
