Simor Consulting

Category: Thought Leadership

Building a data-driven culture: lessons from 50 engagements
Building a data-driven culture: lessons from 50 engagements
13 May, 2026 | 05 Mins read

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

What we can learn from the DevOps revolution applied to AI
What we can learn from the DevOps revolution applied to AI
04 May, 2026 | 04 Mins read

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 case for AI skepticism in your data strategy
The case for AI skepticism in your data strategy
27 Apr, 2026 | 04 Mins read

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

Why most AI transformations fail (it's not the technology)
Why most AI transformations fail (it's not the technology)
20 Apr, 2026 | 04 Mins read

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

AI Enablement Programs: Building Organizational Capability, Not Just Technology
AI Enablement Programs: Building Organizational Capability, Not Just Technology
19 Mar, 2026 | 11 Mins read

A technology company built an impressive AI platform. They had GPU clusters, fine-tuning pipelines, evaluation frameworks, and a growing model registry. They opened access to any team that wanted to u

The AI Operating System: Why Companies Need an AI Foundation Layer
The AI Operating System: Why Companies Need an AI Foundation Layer
05 Jan, 2026 | 16 Mins read

A financial services firm spent eight months building an AI-powered document analysis system. When it came time to deploy, they discovered their retrieval system had no governance layer, their agent h

2025 Year-in-Review & 2026 Trends in Data & AI Architecture
2025 Year-in-Review & 2026 Trends in Data & AI Architecture
19 Dec, 2025 | 03 Mins read

2025 was the year AI moved from experimentation to industrialization. While 2024 saw the explosion of generative AI capabilities, 2025 was about making those capabilities production-ready, cost-effect