Part 3/11:
Malik then introduces the transformative concept of agents—autonomous AI-driven systems capable of handling repetitive, mundane tasks within data projects. Drawing an analogy from everyday life, he recounts how booking train tickets involved long queues, but with the advent of agents, much of the process became automated and streamlined.
An intelligent agent, Malik explains, integrates four core components: tools, memory, planning, and action. Unlike traditional rule-based systems, GenAI-backed agents possess autonomy, understand natural language, and can make decisions independently. They can analyze patterns, invoke functions, and perform tasks like data pipeline management, debugging, or code translation without human intervention.