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Telecommunications use AI to optimize feature in networks and predict failures in the sites. The day is not far when AI will reach self-awareness and strike-out on its own to cause a future beyond human control.
Fremont, CA: The recent advancements of AI has turned every industry upside down. The algorithms are beating humans in applications ranging from healthcare to gaming. The day is not far when AI will reach self-awareness and strike-out on its own to cause a future beyond human control.
AI Magic in Telecom
As AI goes from hype to reality, it is embraced by service providers around the world. It is expected that more than half of service providers will adopt AI within their networks by 2020. Telecommunications use AI to optimize features in networks and predict failures in the sites. Though telecom networks may not seem the most critical part of the infrastructure, it may drastically hamper user experience, if a telecom network fails to provide the service as expected. The consequences can be so far-reaching that customers may end up changing their network carriers. Not a single telecom operator wants that!
Manage AI-Responsible Machines
In simple words, automation is replacing human effort with machines that are not easy to automate, thus providing the ability to a company to scale up the business, whereas value creation is un-tapping new values through innovation, like developing new unique features in 5G networks. Both automation and value creation can be achieved through AI. Unlike the traditional methods of phase design, AI has replaced it with "correct-by-design," and this development is based on machine learning and machine reasoning.
The complexity level in telecommunications spans at multiple levels. They need to adhere to global standards and still comply to local rules and legislations. AI can potentially improve and transform the industry. Life-cycle management, design of products and services, operations, both remote and in the field, all benefit from AI algorithms. This also makes networks sustainable and cost-efficient. It is most important that the data fed to the system is representative of what the system needs to learn – or else the system gets biased.
Right Intent and Priorities
AI is an intent-driven technology, and it aims to deliver the goals set for it. Similarly, in telecom industries, network providers set the intents, which are industry-specific and carrier-specific, expecting a quality service as the outcome. Local regulations and legislations must also be taken care of when working with data and feeding the AI systems with new information.
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