Technologies and Applications for Big Data Value -

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Résumé :
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 SciencePipeline 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....

Biographie:
Edward Curry is a research leader at the Insight SFI Research Centre for Data Analytics. He has made contributions to semantic technologies, incremental data management, event processing middleware, software engineering, and distributed systems and information systems. Edward combines strong theoretical results with high-impact practical applications. He is also co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community.