Federico Alberto Pozzi is a senior solutions specialist in IMM & Analytics at SAS Italy. The Ph.D. he obtained in Computer Science allowed him to acquire outstanding expertise on Machine Learning and Text Analytics (in particular, Sentiment Analysis) applied to Social CRM, Social Learning and Digital Media Entertainment. He also collected important international experiences: among different international research collaborations, he had a fruitful and long collaboration with Prof. Bing Liu (University of Illinois at Chicago) and Prof. Emeritus Gautam Mitra (Brunel University, London and OptiRisk Systems). Federico has published two books on Sentiment Analysis and several scientific publications in important journals and conferences.
We all know that when customers are interested in a new product or service that you offer, digital channels are most often their first, and probably unique, point of interaction. What if every time customers interacted with you, they got exactly what they needed, with minimal effort? Marketers should use
Using the past to predict the future is a time-honoured practice. Of course it can backfire — which is why financial services firms are required to inform us that ‘past performance is not a guide to future performance’ — but customer behavior is often remarkably consistent. Which is why the
The Internet of Things (IoT) is drastically changing our lives, whether this is at home, in the car, at work or even in the street. Gartner has predicted that by 2020, 20.8 billion devices will be connected. Moreover, the potential economic impact of IoT by 2025 is estimated to be
