On the 29th of Novemeber 2023, AI@EDGE will hold an online webinar titled “Bringing the Intelligence to the Edge – AI@EDGE and DAIS Overall Architecture“.
In this webinar, AI@EDGE and DAIS projects will share their results on the overall architecture and main components needed to bring the intelligence to the edge in B5G/6G networks.
The AI@EDGE project will present the developed Network and Service Automation Platform (NSAP) and Connect-Compute Platform (CCP) with new modules/functions/services and interfaces for AI based Orchestration of AI Function (AIF), with dynamic AIFs placement on decentralized and distributed CCP. The key components, Multi-Tier Orchestrator (MTO) & Intelligent Orchestrator Component (IOC) exploiting data and AI/ML pipeline, will be addressed together with further research area in this domain.
The DAIS project will present the approach and design of the software architecture and the enabling software components for the DAIS software platform. This presentation comprises various challenges and design aspects related to enabling software components, coordination and orchestration of distributed AI components, ensuring security and in the software environment and realization of a robust, flexible, and secure digital communications infrastructure, which are the key aspects of the DAIS Software platform.
In addition, lessons learned and challenges will be discussed during the panel just after presentations.
Meet our speakers!
Research Leader & Manager for the Network Management and Automation section at Research Area Networks, Ericsson Research
Neiva’s research interests are AI/ML based architecture solutions applied to mobile networks automation and service assurance. She joined Ericsson in 2011 and has worked in several technology areas applied to fixed and mobile backhaul network architectures, transport solutions for 4G/5G, including Cloud RAN, SDN, NFV, network slicing.
Technical and Project Leader @TIM R&D
Experienced Project Lead with a demonstrated history of working in the telecommunications industry. Skilled in Oracle Database, Data Warehousing, Management, Internet Protocol (IP), and Business Intelligence.
Professor in dependable software engineering at MDU and the leader of the Dependable Software Engineering research group
Sasikumar Punnekkat is a Professor in dependable software engineering at MDU and the leader of the Dependable Software Engineering research group. He has more than 15 years industrial experience as a scientist at the Indian Space research Organization, and was the Head of the Software test and reliability engineering.