In the rapidly evolving landscape of digital technologies, three interconnected domains—Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML)—have emerged as foundational pillars for innovation. Though each of these technologies can stand alone, their real power is unlocked when they are combined to create smart, data-driven, and automated ecosystems. AI, IoT, and ML complement each other by bridging the gap between data collection, data analysis, and actionable intelligence. The synergy between these three domains is reshaping industries by enabling real-time decision-making, predictive analytics, and intelligent automation, resulting in enhanced efficiency, accuracy, and innovation.

At the core of this symbiotic relationship is data. IoT devices serve as the sensory network of the digital world, continuously capturing real-time data from physical environments through sensors, actuators, and embedded systems. These devices generate an enormous volume of data, commonly referred to as "Big Data."