Last month (April 2018), I represented Aricent at the MPLS+SDN+NFV World in Paris and in attendance were some of the world’s largest mobile operators including AT&T, DT, Turk Telecom and Reliance Jio. SDN/NFV is coming to fruition and 5G is almost here. The main theme at the show was automation - and what transpired was that while many operators have been making good ground, end-to-end automation of the network was a conundrum.
“Start now to reach for your movie scheduled in the next one hour as there is heavy traffic in the usual best route”. “2 days remaining for your journey to begin”. “Please be prepared to receive showers on your way to work”. “We have customized your news feed based on your past interests!”. “There is a suggested action item for you in this email. How do you like to respond?” What would we do without alerts like these that help make our life simple in this busy and hectic world! How do they happen though? Simple! They’re just a replication of the human intelligence and thought process, and help machines “learn” the way humans think.
Earlier this month, we joined hundreds of tech enthusiasts at the Mobile World Congress (MWC) 2018, the world's largest annual exhibition for the mobile industry. As always, the event featured top mobile operators, manufacturers, technology providers and vendors.
“Security is not an Illusion. Security is the Foundation of any World…” - Captain Aag, the wrathful villain in Salman Rushdie’s fantasy novel Luka and the Fire of Life that he penned for his 13-year-old son.i
The billing system-also known as the business support system-is a vital tool for communications service providers. The system bills end customers and manages payments to service providers. Having an efficient, feature-rich and “smart” system is essential as technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Internet of Things (IoT) and Advanced Analytics become more pervasive.
Can computers think and make decisions like humans? Can they improve the productivity and efficiency of our day-to-day work? The answer is “yes”, as Machine Learning (ML) drives innovations to make this a reality.