enterprise ai projects are running into some serious issues lately, and i think
it's not about model quality . more often than you'd expect,data infrastructure seems to be the bottleneck here.
i was reading an interesting piece on this topic: <
> and it made me wonder if anyone else has seen similar challenges in their projects.have you had any success implementing real-time data streaming to boost your ai models? or maybe faced some hurdles that could be addressed by better streamlining of data pipelines?
i'm curious abt how others are handling this problem, especially w/ all the advancements we've made so far!
https://thenewstack.io/confluent-intelligence-ai-agents/