UNICC attended and presented at the UN Tech Huddle event organized by Microsoft’s Tech for Social Impact (TSI) team at the Microsoft Technology Centre in New York on Wednesday 13 November. The goal of this day-long event was to bring together ICT experts from different UN Agencies and Microsoft leaders to share the latest cloud solutions for common challenges.
Paolo Valenza, Chief of Cloud Services and Gabriel Galati, Head of Azure and M365 Services unit presented UNICC’s Microsoft Cloud services to many of our UN Clients and other non-profit organisations. They highlighted UNICC’s role in providing managed cloud services offering support for solutions that reside in the cloud.
Cloud services are building blocks at the base of many other UNICC services.
Paolo Valenza, Chief, Cloud Services
An example of a Data and Analytics service built on an Azure cloud foundation is the Data Lake that ICC developed for OCHA, a centralized repository to store the organization’s raw unstructured data from diverse sources in a properly secured and managed way.
Nitesh Kudva, Information Security Specialist; Leiming Yao, Information Security Specialist and Mikiann McIntosh, Intern in the Information Security team also attended the event. Other Agencies present included ICAO, PAHO, UNDP, UNFPA, UN OICT, and UN Women.
During the day, Microsoft shared the latest on comprehensive solutions and best practices. Other topics on the agenda discussed during the session were the UN’s digital transformation and cloud adoption, Terraform on Azure and the PowerApp Platform.
Our Azure Management Services provides a controlled and secure back-end for solutions that we develop on top.
Gabriel Galati, Head, Azure and M365 Services Unit
Microsoft runs UN Tech Huddles on a quarterly basis in Geneva and New York with the goal of sharing knowledge and expanding the impact of UN organizations. UNICC also attended the UN Tech Huddle in Geneva in October, where Gabriel Galati and Shashank Rai, Chief Technology Officer presented the implementation of OCHA’s Data Lake.
