Data Science and 5G
Data Science can boost network operations. It has the potential to transform the way Service Provider’s network operations are done, including the reduction of manual effort involved in network monitoring, troubleshooting and optimisation.
The combination of SDN/NFV (Software-Defined Network/ Network Function Virtualisation) and Data Science is becoming a powerful new approach for making networks more reliable and secure. Wireless spectrum comprises a hodge-podge of different bands, varying by geographic area and influenced by politics and competing claims. 5G may try to aggregate bands and try to use bands that have previously been considered unsuitable.
In terms of SDN and NFV, a big part of 5G technology will be the creation of multiple hierarchies, which will constitute the network topology. Currently networks are flat, and everything goes back to the core.5G creates hierarchical cores. Something like a multiple hierarchy of caches.
5G’s low latency and its high speed will immensely benefit data analytics. These features make it possible for analysts to collect, clean, and analyse large volumes of data quickly.
Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions. Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis. Data analytics focuses more on viewing the historical data in context while data science focuses more on machine learning and predictive modeling.