Big Data and Artificial Intelligence

<p><span style=color: rgba(23 43 77 1)>The Topic Big Data and Artificial Intelligence explores the transformative impact of AI and Big Data across diverse domains highlighting their role as catalysts for innovation decision-making and business model evolution. This reprint presents cutting-edge research covering the full spectrum of AI and Big Data applications from theoretical foundations to real-world implementations. Key topics include enabling technologies such as machine learning neural networks natural language processing AI agents analytics and distributed computing. Methodological advancements strategic frameworks and models are examined addressing areas such as sustainable development industry innovation ethical considerations and social impact. Additionally the collection showcases best practices R&D project outcomes and industry-government collaborations offering valuable insights into the latest developments in AI-driven decision-making and data ecosystems. Edited by Prof. Miltiadis D. Lytras and Prof. Andreea Claudia Serban this reprint compiles high-quality contributions from leading researchers and practitioners providing a comprehensive resource for academics industry experts and policymakers interested in the evolving landscape of artificial intelligence and Big Data. The participating journals include </span><em style=color: rgba(23 43 77 1)>Big Data and Cognitive Computing Future Internet Information Remote Sensing</em><span style=color: rgba(23 43 77 1)> and </span><em style=color: rgba(23 43 77 1)>Sustainability</em><span style=color: rgba(23 43 77 1)>.</span></p><p></p>