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Tag: ML

Automation: Reaching full potential

The maturity of telco automations in the network OSS and BSS varies significantly. Some telcos are reporting significant headcount reductions from mature automations while others are still in the early stages of simple automation deployments. There are important steps telcos must consider if they are to reach maximum automation.

Five ways to get open RAN deployment back on track

The first commercial deployments of open RAN networks have been announced. But operators are unsure whether to deploy quickly for first-mover advantage or play it safe and wait for more proof points. We explore the causes of open RAN inertia and how operators can get deployments back on track.

The data-driven telco: How to progress

Telcos are making progress on the data-driven path. We asked experienced Chief Data Officers about their current short- and mid-term priorities to uncover how to successfully steer the telco towards the ambition of becoming data-driven organisations.

AI automation and analytics in telco enterprise B2B solutions

A3 for enterprise: Where should telcos focus?

As analytics, AI and automation (A3) technologies mature, we explore nine potential A3 capabilities telcos could offer to their enterprise customers. We identify the sweet spots for telcos by assessing the importance of each of the nine capabilities across 14 industry verticals and mapping them against telcos’ existing levels of expertise.

Telecoms data analytics – Where’s the real value?

Although nearly all operators aspire to deploy autonomous networks and personalised customer services, few have actually implemented advanced analytics at scale across their organisations. Almost universally, telcos are hampered by incomplete and siloed data sets and cultural resistance. What have the industry’s leaders done to overcome these challenges?