STL Partners takes stock of the development of the edge computing ecosystem over the past five years, how AI has now reshaped the landscape and proposes its view on the future outlook of the market: including the likely winners and losers.
In this report, we discuss the extent to which AI adoption will transform enterprise networking and set out a framework of key questions that decision-makers should consider when developing and designing their AI strategies.
Who is most likely to win the battle for contextually aware personal assistants on smartphones – and is there an opportunity for telcos?
Consumers and employees are beginning to adopt wearable devices that can live stream video to image recognition systems and expert advisors. Over time, these devices will place new demands on cellular networks.
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.
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.
The pace of GAI development over the last 12 months raises questions for telcos around what else is coming down the track in analytics, AI and automation. How should they respond to GAI, thing as customer, decision intelligence and digital immunity, among others?