Digital is the most important goal to reach, data the most valuable resource
Most organizations are working on Digital Transformation harnessing enabling technologies, Cloud being the basic element. But to trigger the true shift to Digital Transformation is AI & Advanced Analytics, as the exploitation of Data and Machine Learning is the strongest asset to support us in making intelligent decisions.
It is for this reason that AI & Advanced Analytics is taking center stage, proving to be a real competitive advantage for those who can go beyond streamlining processes and automating work, letting data guide business decisions.
What is AI & Analytics then? How does it work? How is it evolving?
Artificial Intelligence (AI) & Big Data Advanced Analytics: our multidisciplinary approach
AI & Advanced Analytics requires a scientific approach to data and problems in order to provide tailored solutions: there is no single solution that fits all cases.
With our Data & Analytics Competence Center we have developed a clear methodology that starts with easy-to-see results and addresses the complexity of the problems, achieving objectives in the shortest possible time.
A blend of competences is needed to face an Advanced Analytics project. Our Data scientists and Data engineers follow a very demanding training path, learning how to transform theory into practice effectively and productively. In Engineering we have a multidisciplinary team: Data Scientists, with engineering, IT, mathematical, physic or statistical backgrounds, but also linguists to master semantic and syntax for natural language analysis, and psychological and relevant competences also in neuroscience; experts in data management, whether Big Data or Small Data, cloud or on-prem; domain experts. Our model is teamwork: there is no one who covers all disciplines, but a hub and spoke model that allows each client to access the expertise available on the market.
With our Data & Analytics Competence Center we have developed a clear methodology that starts with easy-to-see results and addresses the complexity of the problems, achieving objectives in the shortest possible time.
A blend of competences is needed to face an Advanced Analytics project. Our Data scientists and Data engineers follow a very demanding training path, learning how to transform theory into practice effectively and productively. In Engineering we have a multidisciplinary team: Data Scientists, with engineering, IT, mathematical, physic or statistical backgrounds, but also linguists to master semantic and syntax for natural language analysis, and psychological and relevant competences also in neuroscience; experts in data management, whether Big Data or Small Data, cloud or on-prem; domain experts. Our model is teamwork: there is no one who covers all disciplines, but a hub and spoke model that allows each client to access the expertise available on the market.
Marco Penovich
Marco Breda
Grazia Cazzin
Alessandro Castiello D'Antonio
Monica Franceschini
Massimiliano Ceceri
Emiliano Coraretti
Francesco Nucci
Elena Marchisa
Suela Balili
Contact us
info@eng.it
Tel. (+39) 06-87591