Edge computing: Infrastructure and data intelligence

Real-time information systems impose deadlines for producing control responses, as latency in their data generation, processing and transfer may cause impermissible failures. This characteristic mainly affects data intelligence related to methods and tools for classifying and integrating real-time information. Companies can achieve timely solutions by utilizing local premises rather than supporting centralized servers or clouds. Instead, computing within the network partly takes place near the physical end points which is where edge computing paradigm comes in to help. The ultimate benefit of edge computing is cloud optimization. Edge computing enables splitting and sharing data between network data centers and local computing power. Meanwhile, strong authentication techniques ensure confidentiality, integrity and consistency of shared data. Tune into this in-depth webinar to gain a proper understanding of edge computing and a deeper knowledge of the following concepts: • Edge vs other computing paradigms. • Infrastructure on the edge. • Data intelligence at the edge. • Edge data privacy. About the speaker: Yeghisabet Alaverdyan is currently the Head of Systems Integration Department at EKENG CJSC since 2018. She graduated from the National Polytechnique University of Armenia in 1980 with a specialization in System and Electrical Engineering. She started her professional carrier as an engineer at the RA National Telegraph. Senior Engineer, then Chief of the National Telegraph Computing Complex. In 2003, she began her teaching career as a lecturer teaching Discrete Mathematics; Finite Automata Theory; Cryptography; Programming in C++. She obtained her PhD in 2012 and is the author of more than 20 scientific papers published in local and international scientific journals. Her current research is in Mathematical Cryptography, AI and Cognitive systems modeling.