Fabrizio Renzi is the Director of technology and innovation of IBM Italy since 2014. In this role he leads all the technical structures that works together with Italian companies for their digital transformation. From 2011 to 2013 he was Director of technology and innovation for Italian banks, insurances and financial institutions. In 2009-2010 he was, based in Dubai, and was IBM Director of Systems and Technologies for emerging markets (Russia, Eastern Europe, Middle East and Africa). Since 1997 he worked on leading edge technologies and transformation initiatives for IBM, covering different managerial roles in areas such as: on demand, ebusiness, ecommerce, network computing solutions, client server. He joined IBM in 1990 as System Engineer in charge of introducing in Italy new products technologies and solutions developed in our R&D labs in USA, where he also spent some years of his professional life in international assignments. Master degree in Electronic Engineering from Politecnico di Milano, he also got an International Executive Program MBA from INSEAD in Paris. Keynote speaker in several scientific and technology related events, Renzi is author of several publications and he taught in several Italian universities
Keynote Title: Cognitive Solutions for System Enginering
We are clearly entering with high speed in a new cognitive era. How to make sense out it? The word sense has different meanings: anatomic (5 senses), philosophic (make sense out of reality) and linguistic (the sense or the semantic meaning of the language). In the cognitive era the systems are starting to get equipped with sense anatomically with sensors (internet of things), philosophically (making sense out of big data) and linguistically (with semantic web and new systems able to cope with language semantic). In a certain sense machines are getting sensible.
What can we do that make sense with sensible machines? There are debates on them replacing human brains. In a conference like this it is clear to all of us that this is sci-fi. In practical term sensible machines as I like to call them, or cognitive computing as this is called in scientific literature can augment the capabilities of humans. In this presentation several use cases of this augmentation possibilities will be provided with special focus on system engineering.