Tutorial: Automatic and big data-empowered system management through TuplOS
|1/10/2019||15:00 – 16:00||Seminar room 7||Pablo Tapia & David Palacios||Tupl|
The size and complexity of current and forthcoming industry use cases make their management become cumbersome, making the deployment of scalable and flexible tools for process management automation a pressing need. Consequently, Tupl has developed TuplOS®: a big data-empowered set of functionalities under a machine learning approach, specially devised for this task. This session aims at providing an overall vision of TuplOS® operation under a realistic use case for process automation: root cause analysis and action recommendation in a cellular network.
Pablo Tapia founded Tupl after a 15 years career in wireless, where he worked on multiple roles across various areas and disciplines. Prior to joining Tupl, Pablo was a Member of the Engineering Staff at T-Mobile USA, where he led major technology projects, including the development of Self-Organizing Networks (SON), the design and deployment of Quality of Service (QoS) techniques, as well as spearheading the evolution to HSPA+ and LTE. Before joining T-Mobile, Pablo led a development team at Optimi, a software startup developing optimization solutions for operators, and held various positions at Nokia Networks R\&D. He is an author and contributor to several books on Wireless technologies. Pablo holds a MSc EE from the University of Malaga, Spain.