AINNA is gradually developing a more integrated operational layer to support day-to-day business processes.
The current direction focuses on four areas:
NeuralOps 平台 - routing tasks through the most suitable processing layer.
私有 AI 基础设施 - improving control over data, models and internal workloads.
智能体工作流 - allowing AI-assisted processes to interact with actual business operations.
分离式系统 - converting repeatable 工作流 into more structured and predictable 系统 where appropriate.
The 目标 is not to apply AI to everything, but to use it where it is useful and keep simpler processes efficient.
Still evolving, still being tested, and continuously improved through real operational use.
#AINNA #NeuralOps #AIInfrastructure #自动化 #AgenticAI #DigitalTransformation
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关于still being tested的实际落地部分最吸引我。
我喜欢文章对allowing AI-assisted processes to interact保持务实的态度。 这点我还要再消化一下。
关于routing tasks through的例子很实用，适合团队继续讨论。
同意作者对AINNA is gradually developing的判断，但执行起来还有难度。
如果有更多improving control over data, models的数据和结果会更完整。
先存起来，主要是为了这个主题。