Tata Communications：网络跟不上，企业 AI 落地就会停滞
Data, applications, computing power: Get the network wrong, and AI adoption stalls
精选理由
Tata Communications 的高管聊了一个大家少谈的角度：企业 AI 落地卡壳，很多时候问题出在网络，而不是模型本身。
Tata Communications 首席战略与创新官 Tri Pham 撰文指出，企业把 AI 从测试推向日常使用时，网络是常被忽视的一环。文中提到数据传输、应用访问和算力调度都对网络提出不同要求。如果网络缺乏灵活性，AI 采用进度会明显受阻。
原文 · The Straits Times: Business
Data, applications, computing power: Get the network wrong, and AI adoption stalls
As companies move AI from testing to daily use, they will need networks flexible enough to keep pace or risk falling behind, says Tata Communications’ chief strategy and innovation officer Tri Pham
