Technologies and Applications for Big Data Value

Technologies and Applications for Big Data Value.- Part I: Technologies and Methods.- Trade-Offs and Challenges of Serverless Data Analytics.- Big Data and AI Pipeline Framework: Technology Analysis from a Benchmarking Perspective.- An Elastic Software Architecture for Extreme-Scale Big Data Analytics.- Privacy-Preserving Technologies for Trusted Data Spaces.- Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations.- Leveraging High-Performance Computing and Cloud Computing with Unified Big-DataWorkflows: The LEXIS Project.- Part II: Processes and Applications.- The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures.- Applying AI to Manage Acute and Chronic Clinical Condition.- 3D Human Big Data Exchange Between the Healthcare and Garment Sectors.- Using a Legal Knowledge Graph for Multilingual Compliance Services in Labor Law, Contract Management, and Geothermal Energy.- Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case.- Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins.- Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case.- Next-Generation Big Data-Driven Factory 4.0 Operations and Optimization: The Boost 4.0 Experience.- Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience.- Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle.- A Data Science Pipeline for Big Linked Earth Observation Data.- Towards Cognitive Ports of the Futures.- Distributed Big Data Analytics in a Smart City.- Processing Big Data in Motion: Core Components and System Architectures with Applications to the Maritime Domain.- Knowledge Modeling and Incident Analysis for Special Cargo.