Digital Transformation Case Study : TUPL Network Advisor
Get ready for 5G by Automating Your engineering & Optimization work by AI .
There is a simple reason why certain high-complexity repetitive work has not yet been automated ; it has been considered too difficult . Case in point : armies of engineers continue to do complex and exhausting troubleshooting and optimization tasks , day in day out . To make matters worse , this manual way of working will not be possible when you throw in another “ G ”, namely 5G , with network slicing and IoT complexities to boot .
ENTER TUPL NETWORK ADVISOR Award-winning Tupl Network Advisor helps network engineering teams unlock the power of AI to automate processes and scale up accumulated human expertise . This is accomplished by helping engineers do root cause analysis and actions which are dependent on the network operators ’ overall strategy . This is the approach to use AI technologies to turn accumulated engineering knowledge into digital knowledge for scaling , speed and consistency .
Tupl has been running Network Advisor implementations with several major wireless carriers from the US , Europe , Latin America and Japan with very successful results that show not only efficiency gains , but significant side benefits from Intelligent Process Automation :
1 . 90 % Machine Learning accuracy , with intuitive and fast data labeling ( supervised & unsupervised ).
2 . 80 % overall automation . The remaining 20 % are the most complex problems and should stay in open loop .
3 . Performance gains of 50 % -80 % when executing the recommended actions by Network Advisor .
4 . Enabling Customer Experience data to drive network optimization tasks , automatically . Might just be first time in the world these two domains work seamlessly together . 5 . 100 % consistent , and reducing human errors .
This proves the power of Network Advisor ’ s capability as the perfect Staff Augmentation solution for any advanced operator . Based on the early results in one major operator , staff augmentation was calculated to a level of 40 %, creating an annual value of $ 20M for the efficiency gains alone .
Furthermore , consistency in AI decision making enable unique analytics for strategic decisions across the network , and frees engineering time for the most complex and important issues . For more information on Tupl and their Network Advisor , please see www . tupl . com .