As emerging technologies continue to drive development and deployment of AI tied to the Internet of Things (IoT) and the Edge, telecom companies will have to make sure their network infrastructure is ready to accommodate the demands of these applications. With 5G on the horizon, those that are already innovating and working with partners to adapt and embrace AI-driven embracing emerging technologies like voice recognition apps and AI chatbots can position themselves to take advantage of a new market poised for substantial growth.
How AI merges with telecom
There are many different ways AI can be used to enhance IoT device interconnectivity and performance, and related telecom applications.
For instance, 39 million Americans now have some sort of smart speaker in the home. Experts predict this number will continue to grow. Homeowners will continue to embrace more “smart” devices like thermostats, refrigerators, and security systems, all of which can share information.
AI can make these products even more effective. For example, perhaps your daily schedule changes throughout the week. Thus, you might be the type of person who regularly enters appointments into your phone, tablet, or computer’s calendar. If those devices are connected to a smart alarm, AI-enabled applications can look for patterns and set the ideal morning alarm for you, saving you time.
AI tends to become more useful by “learning” from experiences. For example, by analyzing a variety of data inputs from your daily routine, an AI-enabled application may calculate how much time it would take you to complete your morning routine and travel to your destination, choosing the absolutely perfect time to wake you.
It might also prepare your environment for the day by learning about your habits. You’d wake up to coffee already brewing, the heat or air conditioner already on to your preference, and a digital reminder to complete upcoming items on your to-do list.
Improving telecom customers’ experiences
AI makes all this and more possible. Smart homes are not the only example of AI and telecom-based products merging.
AI can help telecom providers learn more about the behavior of each individual customer. This allows them to offer service packages tailored to a client’s specific needs. AI can also monitor communications network performance and identify inefficiencies, optimizing the network based on how customers use it.
This will soon be very important. Smart homes, smart cities, and many other innovations at the Edge are going to place an increased burden on telecom networks in the near future. While AI will increase the demand for reliable networks, it will also help facilitate these networks’ continued growth, functionality, and viability.
Telecom providers today should be deeply into the investigative, analysis and testing phases as they determine the breadth of ways they’ll need to leverage AI both in the near-term and into the far future.