The Evolution and Fundamentals of AI

AI has evolved significantly over the past several decades, transitioning from foundational concepts such as natural language processing and image recognition to more sophisticated applications like predictive analytics and neural networks. Unlike traditional computing, which focuses on transactional data as the primary outcome, AI systems operate by starting with vast amounts of data to classify, understand, and generate insights from it. For example, in AI's initial stages, expert systems were developed to aid human decision-making, whereas modern AI leverages machine learning and deep learning models to predict outcomes based on large datasets. As this discipline continues to advance, its applications across various sectors, including HR technology, are becoming increasingly critical for optimizing decision-making processes and workforce management.