Data pipeline failures: why AI models fail under governance

https://buff.ly/A6qyDo1 Reality check for #Enterprise AI engineering: Data pipeline that can’t deliver clean, contextualized, real-time inputs under governance constraints, your models will fail spectacularly. #DataScience #DataOps

https://buff.ly/A6qyDo1 Reality check for #Enterprise AI engineering: Data pipeline that can’t deliver clean, contextualized, real-time inputs under governance constraints, your models will fail spectacularly. #DataScience #DataOps

https://buff.ly/A6qyDo1 Reality check for #Enterprise AI engineering: Data pipeline that can’t deliver clean, contextualized, real-time inputs under governance constraints, your models will fail spectacularly. #DataScience #DataOps

https://buff.ly/A6qyDo1 Reality check for #enterprise AI engineering: Data pipeline that can’t deliver clean, contextualized, real-time inputs under governance constraints, your models will fail spectacularly. #DataScience #DataOps

https://lnkd.in/gpPr5f_e Reality check for #Enterprise AI engineering: Data pipeline that can’t deliver clean, contextualized, real-time inputs under governance constraints, your models will fail spectacularly. #DataScience #DataOps

https://lnkd.in/gpPr5f_e Reality check for #enterprise AI engineering: Data pipeline that can’t deliver clean, contextualized, real-time inputs under governance constraints, your models will fail spectacularly. #DataScience #DataOps

In conversations with LLM & VLM teams, one truth keeps surfacing: --> 60 to 70% of an AI/ML engineer’s time is wasted on wrangling, cleaning & organizing data. --> Data chaos is slowing innovation more than compute constraints. --> Many teams admit: “We can’t even manage data for ourselves.” We celebrate bigger models and more compute, but the real question is: 💡 How long can the industry ignore the data problem? What’s your take? Is data the silent killer of AI progress? #AI #MachineLearning #LLM #VLM #DataManagement #MLOps #GenerativeAI #FutureOfAI

AI isn’t hitting a compute wall; it’s hitting a data wall. The silent killer of progress is messy, unmanageable data. #AI #MachineLearning #DataManagement #LLM #VLM #AIInfrastructure #DataChaos #AIProgress #BigData #MLOps

Why nearly 95% of enterprise AI projects stall and how real-time data agility is becoming the new must-have for models that actually deliver https://ow.ly/qU4V50WTW5Y

Why nearly 95% of enterprise AI projects stall and how real-time data agility is becoming the new must-have for models that actually deliver https://ow.ly/7Q0l50WTaeE