Simor Consulting
Category: Data Culture
Google's 2015 paper "Hidden Technical Debt in Machine Learning Systems" described a problem that has only gotten worse in the decade since. The paper's central observation was that the model itself is
In 2023, I rewrote a data pipeline three times because the framework landscape kept shifting. First it was built on LangChain. Then the team wanted to switch to LlamaIndex because it handled retrieval
A Fortune 500 company hired a team of twelve machine learning engineers and tasked them with building a predictive maintenance system for their manufacturing floor. The ML team spent four months evalu
The phrase "data-driven culture" has been emptied of meaning by overuse. It appears in every strategy deck, every job posting, every conference talk. Everyone claims to want it. Almost no one can desc
I was in a strategy session where a VP of Data told the room that generative AI would "eliminate the need for data analysts within two years." The room nodded. Budget was reallocated. Three analyst po
# DataOps: Creating Culture and Processes for Reliable Data Data quality issues cascade downstream. DataOps applies DevOps principles to data workflows: automation, collaboration, and continuous impr