Ignacio Más acts as Senior Expert and Head of Technology Innovation in OSS in Ericsson Business Unit Digital Systems. Previously he has been one of the top System Architects in Ericsson Group Function Technology holding the tittle of Senior Expert in Programmable Network Architecture. He obtained a PhD in Telecommunications from the Royal Institute of Technology, (KTH, Sweden) and a Master of Science from both KTH and the Telecommunications Engineering school of 'Universidad Politécnica de Madrid'. Ignacio joined Ericsson in 2005 and started working in IETF standardization, IPTV and messaging architectures and media related activities inside Ericsson Research. When he joined Group Function Technology he became the CTO office expert in media, SDN and cloud networking related issues. In his role as Senior Expert in Ericsson he now leads the company in the evolution to a network architecture focused on flexibility and programmability with emphasis on SDN and NFV technical paradigm implications. In his current position he as well leads the overall evolution of network management and control (OSS) towards a model-based horizontal management and orchestration paradigm.
The complexity conundrum in telecommunications: will AI take over when people give up understanding what's going on?
The telecommunications industry has had some years of turmoil and is experiencing a major technology disruption in its convergence with the IT industry. Concepts like virtualization, cloud deployment and orchestration, and cloud native software paradigms development are deeply changing the landscape of traditional 3GPP dominated telco networks. These paradigms are changing the spectrum of entities to be managed in a telco environment, both in number, with exponential increases due to the new wave of IoT devices and smaller cloud native components, as well as in functionality when cloud native drives a modularization and separation into smaller functional components. Complexity is undoubtedly increasing exponentially and the range of implementation technologies (bare metal, different VM choices, containers, serverless functions coming in the horizon) make it almost impossible for traditional management models based on a Networks Operation Center to succeed in managing and, moreover, real-time monitoring the operating state of a network. This complexity is driving automation and as it evolves the need for increasingly complex AI/ML algorithms becomes fundamental to take decisions sufficiently fast.
With this presentation I do not plan to offer answers to how we solve the complexity conundrum in telecommunication networks, but instead paint the range of questions and issues the industry is experiencing today and the early promising results that products like Ericsson Expert Analytics are producing by using AI/ML techniques.