Understanding potential relations among data means acquiring relevant knowledge that can allow you to make strategic decisions and enhancing business performance.
Machine learning is becoming more and more pervasive in every daily activity and it is already in use by a variety of industries, including: Automotive, Banking, Government,
Manufacturing, Retail, Marketing, Medicine, giving us self-driving cars, practical speech recognition, effective web search, and avastly improved understanding of the human genome.

Historically, a variety of names, including Data Mining, Knowledge Extraction, or Information Discovery, has been  used to refer to the field of Knowledge Discovery in Databases (KDD), it means: “the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data”, as introduced at the first KDD workshop in 1989. Identifying hidden relations among data means to get insight and increase business by optimized strategies.

H-DATA supports institutions and companies in digital transformation, implementing A.I. systems for optimized decision-making and industrial processes. H-DATA offers
customized solutions, innovation management services, consulting and coaching programs. Besides its advice activity for public and private companies, in the last year, H-DATA is extracting value from 2 social platforms, based on proprietary A.I. algorithms: C.U.R.A. and BrandUp