1、STL Partners|Proprietary and Confidential1An investment quandary:How AI is redefining enterprise connectivityApril 2025In partnership with:Kuba Smolorz,Senior ConsultantHarine Tharmarajah,ConsultantIn this report,we discuss the extent to which AI adoption will transform enterprise networking and set
2、 out a framework of key questions that decision-makers should consider when developing and designing their AI strategies.STL Partners|Proprietary and Confidential2Widespread adoption of four main types of AI applications will have a significant impact on enterprise networks Executive summaryDedicate
3、d AI solutions specifically designed for a given industry verticale.g.,computer vision for theft prevention in retailDedicated AI solutions specifically designed for a given industry verticale.g.,computer vision for theft prevention in retail Existing software applications now infused with AI to enh
4、ance key functionalities and capabilitiese.g.,Salesforces AgentforceExisting software applications now infused with AI to enhance key functionalities and capabilitiese.g.,Salesforces Agentforce Additional dedicated AI solutions that are not specific to a given vertical e.g.,customer chatbots,hyper-p
5、ersonalised marketing,cybersecurityOff-the-shelf,LLM-based productivity tools which can but dont have to be trained and fine-tuned using proprietary enterprise datae.g.,ChatGPT,Microsoft Copilot,DeepSeekOff-the-shelf,LLM-based productivity tools which can but dont have to be trained and fine-tuned u
6、sing proprietary enterprise datae.g.,ChatGPT,Microsoft Copilot,DeepSeekMost processing happens in the cloud(private/public),so impact on enterprise WAN is low.Some use cases,however,will require huge data volume upload(e.g.,code reviews)that could strain networks.Inferencing using proprietary data a