Not so long ago, every telco was jockeying for position as the best communications service provider (CSP) on the market. IoT, 5G, AI and the cloud have radically altered those aspirations, and each serious player is now striving to undergo the transformation into digital service provider (DSP).
Digitization, 5G and the Internet of Things place demands on telecommunications systems that would be impossible to address by the human brain alone. Thus, artificial intelligence and machine learning are growing in importance as telcos seek to automate their network management and maintenance processes and move towards intelligent assurance.
What are the technologies to watch in 2019? What impact will the Internet of Things, virtualization and artificial intelligence have on the telecommunications industry in the coming 12 months? And what are CTOs and CEOs planning in order to maximize their organizations’ benefits from digitization?
In the Internet of Things, artificial intelligence and machine learning might look like the difference between success and failure for a business. Broadly speaking, that’s correct – but only when these technologies are used wisely in conjunction with human skills and know-how.
AI and IoT are driving great advances in the way that organizations in many sectors deliver – and think about – their services and products. It’s therefore worth looking at what this combination can do for your business… but beware of jumping in and deploying these technologies “just because they are there”.
Smart field services companies are already deploying solutions based on artificial intelligence and machine learning to automate their service delivery process. They are in the best position to optimize the work of technicians and managers, cut costs and boost customer satisfaction – while their competitors will lag behind on all counts.
Almost every aspect of everyday life is being affected by developments in AI, big data analytics and machine learning. Yet, while the potential of these technologies is immense, it’s worth remembering that this is just the start – and machines are only as smart as the people behind them.