Gian Paolo Santopaolo

CTO IBV Solutions, Microsoft Regional Director and MVP

Gian Paolo Santopaolo is the CTO at IBV Software in Zurich, Switzerland with 18+ years of experience in the.Net development ecosystem.
He is a visionary in the Emerging Experience field, having developed his first Natural User Interface (NUI) back in 1994.
Gian Paolo is a Microsoft Regional Director and MVP in the Emerging Experiences – More Personal Computing (MPC) field.
During the past two decades, Gian Paolo participated in several projects involving AI, Touch, Ink, Gestures, and Voice as well as architecture, design, and development of enterprise applications with extreme scalability requirements by implementing the latest technologies.
His life passion is to design and develop Emerging Experiences for multi-touch devices with the main focus on Artificial Intelligence, Human-Computer Interaction, Touch, Ink, SurfaceHub, and Windows.
He researches and creates prototypes AI for touch and ink enabled devices with particular attention to the interaction between these two and the evolution of the Human-Computer Interaction.
Gian uses his great ability to work in teams to do his best in the communities by sharing his experiences: the Emerging Experiences ecosystem is always evolving, there are no standards; because of this, exchanging ideas is the way to find solutions from which everyone can benefit. In Gian’s everyday life this translates into two words: sharing and passion: always share your expertise because history teaches us that sharing knowledge always leads to collective growth.
Read more about Gian Paolo here, and to get an idea of what a Microsoft Regional Director is, please click here.

My Sessions

gRPC is the new WCF

Google RPC and Protocol Buffers are becoming industry standards for exchanging data across systems; they are now natively integrated into .Net Core to become the new WCF with pluggable support for load balancing, tracing, health checking, and authentication. gRPC benefits from new features introduced in HTTP/2 like framing, bidirectional streaming, header compression, multiplexing, and flow […]

New & Cool

ML.Net deep dive

ML.NET is a free, cross-platform and open-source machine learning framework that allows .NET developers to quickly build and also consume machine learning models in their NET applications. In this course we will deep dive platform’s capabilities and pitfalls: from defining and loading the data to train the models, evaluating, deploying, and running them on your […]

Artificial Intelligence