AGI vs. Narrow AI: What Big Data Stands to Gain
Introduction Artificial Intelligence (AI) has evolved dramatically over the past decade, reshaping how industries handle data. Yet, not all AI systems are created equal. Most current applications rely on Narrow AI , which excels at specific tasks like image recognition, fraud detection, or recommendation systems. On the other hand, Artificial General Intelligence (AGI) —still under development—aims to replicate human-like intelligence, capable of learning, reasoning, and adapting across multiple domains. In the context of Big Data , the distinction between AGI and Narrow AI is crucial. While Narrow AI has powered much of today’s big data revolution, AGI holds the promise of transforming the landscape entirely. Narrow AI in Big Data Narrow AI systems are highly specialized, relying on predefined algorithms and training datasets. They thrive in structured environments where goals are clear. Current Contributions: Pattern Detection – Machine learning models can identif...