Gabriele Randelli


Gabriele Randelli is Senior Machine Learning Solution Architect at Hewlett Packard Enterprise, where he conceives software solutions based on machine learning models applied to the telco market, with particular emphasis to the BSS and Actionable Customer Intelligence segments. Former founder and Chief Technology Officer at Smart-I S.r.l., throughout his professional career he has mainly operated as R&D Engineer, dealing with AI & robotics applied to defense, research and space applications. He also attended a Post-Doc at Sapienza University of Rome (Italy), where he gained a Ph.D. in Robotics and Artificial Intelligence. His research interests include human-robot interaction technologies, cognitive robotic systems and machine learning. He's author of more than 20 publications released in major journals, conference proceedings and books.

Speeches of Gabriele Randelli

AI in Telecom: how artificial intelligence is reshaping the vision of telco industry

In the past decades telecom operator have mainly focused their business models in enabling fast telecommunications (e.g. fiber) and enriching their subscriber base, without any tangible interest into the content of the transferred data, nor into their customersÂ’ usage of such services. On the converse, so-called over-the-top (OTT) providers, Netflix, Skype, Google, have significantly increased their revenues introducing innovative customer-based services deployed over the network infrastructure (e.g. movie streaming), while leaving the operators with all the costs involved in maintaining their networks. In order to reduce the huge gap between revenues and costs, telecom operator must approach their clients with the same customer-centric mind-set. Data flowing through their networks must be analysed in real-time to extract complex behaviour and usage pattern, and this requires a novel set of artificial intelligence techniques that can leverage on this huge amount of information and scale horizontally across network computation elements, such as deep learning. This talk presents how telecom operators are shifting towards a subscriber-centric network paradigm, by leveraging on artificial intelligence algorithms to extract meaningful customer insights in real time from the huge amount of data collected. Such a knowledge in turn enables smarter services, such as: proactive customer support, customized marketing campaigns, self-healing networks, automated network optimization.

Speech language: Italian


Machine Learning and Artificial Intelligence

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