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.
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.