Big Data, AI and Machine Learning: Leading the Innovation in telecoms
Big data itelecoms offers a big oppprtunity. Over the past eighteen months in particular, Big data, Artificial Intelligence (AI) and Machine Learning (ML) have moved to the forefront of the technology conversation in the telecoms and many other industries. For marketers at Communications Service Providers these advances urgently need to be fully understood particularly from the perspective of the innovative Use Cases they could potentially drive if their valued is to be unlocked and they are to have the desired impact on their businesses.
In 2020 there are around 7.7 billion active mobile broadband subscriptions worldwide, meaning more and more complex unstructured big data is being created vy telecoms, but needs to be mined effectively. It is becoming imperative to gain insights from these mammoth volumes of data if CSPs want to lead their markets by delivering better customer services, identifying needs and offering solutions based on effectively utilizing what initially is little more than a Big Data repository.