The Italian Conference on Big Data and Data Science (ITADATA2023), at its second edition, is the annual event supported by the CINI Big Data National Laboratory that aims to put together Italian researchers and professionals from academia, industry, government, and public administration working in the field of big data and data science, as well as related fields (e.g., security and privacy, HPC, Cloud).
The conference will be structured into a main research track on big data and data science and complemented with tutorials/demos on specific solutions and prototypes developed by industries, research centers and universities, and thematic workshops on specific verticals of big data and data science. The conference will also feature two selected distinguished keynote speeches and some panels.
ITADATA2023 aims to discuss and shape the future of Big Data and Data Science in Italy and abroad, considering the multidisciplinary, complex, heterogeneous, and data-centric environment in which modern distributed systems are operating. The ability to timely manage and analyze large amounts of data, and to guarantee low-latency access to the data themselves increasingly become critical requirements and are at the heart of modern business processes. In this context, data science, as the foundation of today's data-driven society, plays the role of developing and defining all the technologies needed to support construction of value on data in multidisciplinary areas at increasing complexity.
ITADATA2023 covers theoretical and practical research and application pertaining to data, from data governance to data processing and analysis. It also covers research and application in related domains where data and data science technologies are key, such as cloud, edge and IoT, intelligent and high performance computing, blockchain, security and privacy, assurance and certification. It finally considers and analyzes the evolution of big data and data science at EU and national level, trying to map current activities in the context of data spaces and relevant organizations/associations such as for instance the Big Data Value Association (BDVA), as well as policy development, laws, and regulations.