As the bottleneck shifts from commitment to commercial execution, telcos need an API-specific playbook not a one-size-fits-all approach. Drawing on extensive demand-side research, this series of reports delivers actionable guidance on pricing logic, charging models and GTM channel strategies for emerging APIs. This report focuses on Quality on Demand (QoD).
As the bottleneck shifts from commitment to commercial execution, telcos need an API-specific playbook – not a one-size-fits-all approach. Drawing on extensive demand-side research, this series of reports delivers actionable guidance on pricing logic, charging models and GTM channel strategies for emerging APIs. This report focuses on Location Retrieval.
As the bottleneck shifts from commitment to commercial execution, telcos need an API-specific playbook – not a one-size-fits-all approach. Drawing on extensive demand-side research, this series of reports delivers actionable guidance on pricing logic, charging models and GTM channel strategies for emerging APIs. This report focuses on KYC Match.
AI applications will require low-latency, local compute for rapid inferencing and large scale data collection, triage, and engineering. Edge compute will therefore play a key role in AI app delivery. However it’s not just about infrastructure – commercial scale for edge AI will depend on effective ecosystem collaboration models.
We examine four ecosystem business frameworks to see how they might look when applied to the emerging network API opportunity to assess whether these sorts of models can unlock commercialisation possibilities in uncertain markets.
This research defines and considers the topic “Future of work” – exploring the impact of emerging technologies and economic and social changes on telcos, and identifying how A3 (analytics, AI and automation) can help solve new challenges.