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.
Since 2015 STL Partners has helped telecoms operators to develop their edge computing strategies. We summarise our learnings from those engagements as a manifesto for how the industry can address the edge computing opportunity.
Most consumers do not need FTTH speeds and capacity, but there are other reasons why households may pay a premium for full fibre connectivity.
Gen AI has great potential usefulness to telcos, provided its capabilities and limitations are well understood, and projects implemented judiciously. This report directs telcos to the most promising use cases.
Telcos and policymakers need new metrics to power evidence-based decisions. New tools and data sources can help build greater understanding and transparency in telecoms.
This report leverages findings from an extensive research programme conducted in EMEA, including interviews with eight different CSPs and a survey with 54 responses from CSPs across the region. The research explored the progress of telcos within EMEA as they adopt techco practices.