Space has always been a realm full of mysteries, sparking countless science fiction movies. While we’ve unraveled some of its secrets, it still feels like an incomprehensible frontier. However, thanks to technological advances and innovation, numerous space projects are being developed—many…
The Road to 5G Requires Adding High-level Mathematical Optimization Technology to the Telecom’s Toolkit
This post summarizes the main ideas of baobab’s presentation during the first Gurobi Industry Day dedicated to Telecom Industry.
Advanced Analytics in Telecommunications: IPTV QoE
One of the biggest problems for telecommunications operators is determining the quality of experience (QoE) of their television clients (IPTV).
Webinar: Mathematical Optimization in the Telecom Industry, organized by Gurobi.
With mathematical optimization, telecom industry players can unlock new revenue growth and chart a path to profitability by optimizing their planning, decision making, and operations. Last June 16th, during a webinar presented by our Guillermo González-Santander, Esther Fernández-Bravo and Julio Lema,…
Telecommunications – Five Mobility Data Monetization Use Cases using Prescriptive Analytics
Data monetization It has been years that Telecom operators have been under great pressure to maintain their profit margins. In addition to the sustained efficiency and cost reduction measures that they have adopted, they are taking on new initiatives to generate…
Webinar on efficient cellular network planning
You can already watch our webinar on how to use linear programming to efficiently plan a cellular radio network. Network operators are looking for ways to reduce the bill of their network sites leases. Their network designs aim at efficiency and…
Advanced Analytics use cases for Telecommunications
Since we started our Telecommunications business unit last May, we have met a few service providers all Europe over with a growing interest in advanced analytics and automation. By advanced analytics we mean machine learning, artificial intelligence and prescriptive analytics, and…
'/%3E%3Cpath%20fill='%23b2b2b2'%20d='M241%20382q0%2016%2017%2026%2017%2011%2042%2011t42-11q16-11%2017-26V269H241'/%3E%3Cpath%20fill='%239f7e00'%20d='M241%20379q0%2014%208%2023%209%209%2021%209%2014%200%2021-9%209-9%209-23V269h-59'/%3E%3Cpath%20d='M241%20339v-70h59v110q0%2014-9%2023l-6%205v-68h-15v72q-8%200-14-4v-68zm59%2040c0%2022%2015%2032%2029%2032%2021%200%2030-18%2030-32v-40h-59'/%3E%3Cpath%20fill='%239f7e00'%20d='M266%20277v5h2v12h-3v-5h2v-5h-9v5h2v5h-4v9h3v18h-5v10h34v-10h-5v-18h3v-9h-4v-5h2v-5h-9v5h2v5h-3v-12h2v-5zm42%20101q0%2010%206%2017%206%206%2015%207%2010-1%2016-7%206-7%206-17v-29h-43'/%3E%3Ccircle%20fill='%230044ad'%20cx='329.5'%20cy='372'%20r='6'/%3E%3Cellipse%20fill='%230044ad'%20cx='300'%20cy='340'%20rx='16'%20ry='21'/%3E%3C/svg%3E){kind=small}
'/%3E%3C/svg%3E){kind=small}
