Japan’s Autonomous Network Vision: Enterprise Demands in Focus – Net One Triple-T
As digital transformation accelerates, Japanese enterprises increasingly demand intelligent, self-operating networks adapted to complex hybrid environments and limited operational staff. This session explores the unique Japanese market—where reliability, simplicity, and long-term vendor trust matter—and traces how we iteratively developed Net One Systems’ original AI tools, NELMO and its extension XOBOT, starting from small-scale pilots and incorporating operator feedback to produce insights valuable to other organizations. Drawing from data‑driven tools backed by 18 years of real‑world incident resolution knowledge, the session also details how network support operations actually change: shorter resolution cycles, standardized workflows, and reduced training time. Whether you’re a global vendor or local integrator, this talk uncovers the opportunities and roadblocks in delivering true, enterprise‑grade autonomous networking in Japan.
Masaki Akasaka is a Manager at Net One Systems, where he leads advanced technology initiatives focused on enterprise network automation, private wireless, and observability. With over 18 years of experience in the IT industry, he has held leadership roles in both engineering and business development, driving innovation across sectors such as telecommunications, manufacturing, and public infrastructure. Masaki is known for bridging technical expertise with strategic insight, and for helping organizations adapt to emerging technologies through practical implementation and cross-functional collaboration. He brings a unique perspective on how autonomous networking can evolve to meet the specific needs of the Japanese market.
Yu Katano is an engineer at NetOne Systems, and after gaining experience as a data engineer, he is currently leading the use of AI and operational advancements in IT infrastructure platforms and network areas. With over 10 years of experience in the IT industry, he is a strong contributor to both engineering and research and development. He is currently exploring how network operations can be automated and autonomous, creating prototypes and developing solutions.
