In telecoms, the bulk of commercial engagements revolve around consumers and generic, connectivity-driven use cases. With the advent of 5G, an agile delivery mode whereby customized and even personalized (consumer and enterprise) use cases take center stage is bound to prevail. The large-scale commercialization of bespoke use cases calls for an overarching telco Artificial Intelligence (AI) ecosystem to support existing telco operations. But, for an industry anchored on physical and inflexible networks, widespread utilization of AI will come with challenges. The complexity is intensified by the arrival of 5G, with which network parameters, processing algorithms, and the number of alarms are all expected to grow. Furthermore, 5G will be a composition of several network layers that leverage heterogeneous technology with varied maturity levels, including physical and virtual network components and private, public, and hybrid cloud infrastructures. For example, on the Radio Access Network (RAN) side, AI and cloud technology have yet to reach the maturity levels found in other parts of the ecosystem.
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