Simor Consulting
Category: Organizational Design
A pharmaceutical company I consulted for was three months into a project to fine-tune a large language model on their internal research corpus. The project had a team of four engineers, a budget of $8
The headline numbers are familiar. Women represent roughly a quarter of AI and data science professionals globally. At senior levels, the proportion drops to the low teens. At the C-suite level of AI-
The Pont du Gard in southern France has carried water across the Gardon river valley for two thousand years. It was built without steel reinforcement, without concrete, and without computer-aided stru
Most organizations have attempted some form of AI initiative. Some succeeded and delivered measurable business value. Many failed and produced results that were technically interesting but did not mov
A data engineering team I worked with had adopted six AI-powered tools in twelve months. An automated code reviewer, a data quality scanner, a pipeline orchestrator with intelligent retry, a natural l
In 2009, deploying software to production was an event. It involved a change request, a maintenance window, a runbook, and a prayer. Developers wrote code, then threw it over the wall to operations, w
The CTO of a mid-size financial services firm told me they had spent $4 million on AI tooling in eighteen months. They had three large language model providers under contract, a vector database cluste