According to Gartner, 50% of enterprise traffic is expected to be generated outside data centers. With that in mind, how should telcos elevate their approach and seize new AI-driven opportunities? In this quickfire video from IoT Now, featuring Robin Duke-Woolley, the CEO of Beecham Research and Tal Klein, the Head of Marketing for the VeloCloud Division at Broadcom; dive into the subject of edge AI for the telecoms industry.
This quick video includes insight on:
- AI’s impact on telcos – This technology creates new market opportunities, enables dynamic traffic slicing and improves on traditional monolithic slicing methods. But does it create a challenging workload where congestion is made as a result of the way the data flows?
- How differentiation is possible – There’s a unique opportunity for extra services around AI; helping organisations deploy AI, providing enhanced security and building specific offerings for sectors like healthcare, manufacturing, and retail could help them address their AI-induced challenges.
- How to use AI internally – It’s also expected that operators will use this technology for their own troubleshooting, provisioning and internal operations as well. This can help to create cost savings and speed up service within your telco itself.
- The new service models that are emerging – As a result of AI, telcos can transition from being simple data pipelines to providing these high-value services, such as AI deployment hubs and support for LLMs. Their unique role serves as a new bridging space between IT and OT.
Edge AI for telcos is a fast-developing area, so keeping up-to-speed with the current trends is really important. Learning how to harness this technology within your own organisation and offering support to other companies to do the same is likely to be an emerging market differentiator for telco companies for years to come. Click below and watch this quick sub-5-minute video to gain these insights now.
