SlashData's Future Developer Summit

With the increasing focus on modelling and simulation in the fields of cyber-networks, data mining, cyber security, distributed computing, mobile computing, cognitive computing, cloud computing, computing tools, applications, simulation tools, system performance and data and computer communications the demand for high quality research outcomes has never been greater. ITNAC has been the forum for researchers and engineers to present and discuss topics related to advanced computing and data communication network technologies, services and applications. Novel contributions are presented in the form of keynote speeches by international experts, peer-reviewed technical papers, and posters. ITNAC 2021 is an international conference and forum for the presentation of research outcomes covering timely and relevant aspects concerning modelling and simulation of distributed, mobile, cognitive and cloud computing, computer and data communications, local and metropolitan networks, optical, wired and wireless telecommunication networks and applications. Advances in optical communications, hybrid networks, and the utilization of new and innovative approaches to make networks more reliable and resilient has continued. The goal of this track is to provide a forum for the presentation of new advances, ideas, and solutions from theoretical, experimental, and applied research to address specific new challenges and emerging issues concerned with this field. We seek papers describing original, previously unpublished research results.

Meet the Nerdio team in Cancun for an all-inclusive user conference where you’ll not only have a lot of fun but will learn from industry experts about all things Azure Virtual Desktop and Windows 365. Get ready to network, access amazing content, and learn how to excel in AVD and Windows 365. See you there!

The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes advances in fundamental computer vision, pattern recognition, computer graphics, and machine learning techniques relevant to face, gesture, and body action, new algorithms, and analysis of specific applications.

This course covers architectural patterns for the use of data virtualization and best practices for performance optimization, data services, governance, scalability and operation. Student will learn how to architect a data virtualization infrastructure to manage the different virtual data workloads with the performance and reliability demanded by the consuming business applications.