MyDataWork POV — Confluent's Streamhouse as an operational memory tier for AI raises a significant concern: the potential for data bottlenecks. While real-time data access sounds appealing, the complexity of managing continuous streams without latency or loss is daunting. The risk of overloading systems with unfiltered data streams could lead to more noise than insight. Streamhouse must demonstrate it can handle this complexity without compromising performance, or it risks becoming another layer of inefficiency in AI workflows.