Advanced Data Elaboration

The aim of this chapter is to explore the intersection of big data, artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC), highlighting their synergies and challenges. The first section examines big data and data analytics, addressing the five key challenges in big data analytics, the process of data transformation, and the different types of data. The discussion then shifts to artificial intelligence, providing an overview of its historical evolution. The third section delves into machine learning and deep learning, covering various learning paradigms, advancements in Generative AI, and the technologies and platforms enabling deep learning. Finally, the chapter discusses the critical role of high-performance computing in supporting these data-intensive and AI-driven processes. By integrating these domains, the study underscores their collective impact on modern computational and analytical capabilities, offering insights into future technological advancements.