Smartdata@polito Headquarters & Office Locations

Smartdata@polito (Private) is headquartered in Turin, Metropolitan City of Turin, Italy. Founded in 2017, the company operates across 1 countries with approximately 125 employees worldwide.

Where is Smartdata@polito's main office?

Smartdata@polito's main headquarters office is located at 112 c.so Francesco Ferrucci, Turin, Metropolitan City of Turin 10141. This serves as the company's primary corporate address and is home to its executive leadership team.

Smartdata@polito regional offices

Beyond its headquarters in Turin, Smartdata@polito maintains 1 offices across 1 countries. Regional offices span 1 countries.

Smartdata@polito contact information

The main switchboard for Smartdata@polito headquarters can be reached at —. For investor relations, visit smartdata.polito.it/investor-relations.

What does Smartdata@polito do?

The SmartData@PoliTO center focuses on Big Data technologies, and Data Science approaches. Scope and goals – The world is producing more data than ever, and we now have the power to collect, store, process and model this humongous amount of data. This is changing the way problems are approached, increasing the number of phenomenological models complemented by data driven approaches. Big data and data science are interdisciplinary fields addressing the extraction of knowledge and value from data. SmartData — Machine learning, data mining, statistics, signal processing, graph modeling are among the fundamentals of big data and data science. Only if well-matched, data scientists and domain experts have the power to make data “smart”. SmartData@PoliTO mixes these fundamentals by coupling data, applications, and the specialized knowledge of technical and business domains. Multidisciplinary and open – The center is formed by faculties with multidisciplinary competences. 50+ professors and researchers from 7 areas are involved in the center. Multidisciplinary in nature, the center is open to expanded collaborations. Covered topics — The center focuses on interdisciplinary competences spanning from fundamental problems of data science to applications on different domains. Topics are in the field of big data collection, storage and processing, data science and data mining, and business models and practices applied to big data. They can be grouped into 3 areas: - Algorithms and methodologies for data analysis, with interest on big data processing, data mining, deep learning, supervised and unsupervised machine learning like rule mining, classification, prediction, anomaly detection, clustering. - Methodologies for data modeling, statistics, computational topology with application to data analysis, and study of hybrid systems that merge big data with simulation approaches. - Study the transformations in industrial structures, value chains, business models, mobility, etc