This thought leadership paper outlines Enghouse Networks’ AI vision as pragmatic, platform-based automation driven by high-quality data and measured by outcomes like higher accuracy, less downtime, faster time to market, and scalable connectivity services rather than by “fashionable” AI choices. It argues telecom networks are becoming cloud-native and software-defined, making AI essential for automation at scale, but warns operators must retain control with minimum service levels and independent backup platforms if automation fails. It highlights AI focus areas across BSS and IPTV for churn prediction, NPS improvement, purchase intent, segmentation, and content recommendations; OSS for reliability via closed-loop automation, preventative maintenance, pattern-based capacity scaling, and GPT

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