Enterprise AI In-House
Deploy custom AI models and infrastructure within your organization for maximum security and control. Below are every essay and field note we have published on this topic, newest first.
Enterprise AI Is Mostly Data Cleanup
Everyone wants to deploy AI at enterprise scale. Most of the work is not AI. It is fixing the data pipeline so the AI has something to work with.
Apr 11, 20266 min readWhy Enterprise AI Rollouts Fail in the Pilot
Most enterprise AI projects die in the pilot phase. The reason is almost never the AI. It is the data, the governance, or the use case choice. Here is how to avoid the trap.
Apr 1, 20266 min readThe LLM Hallucination Problem Is Real and Manageable
You cannot trust an LLM to never make things up. You can build systems around it so the mistakes do not cost you. Here is how.
Mar 22, 20266 min readWhy RAG Beats Fine-Tuning for Most Enterprise Use Cases
Fine-tuning sounds impressive. For most enterprise problems, retrieval-augmented generation is cheaper, more accurate, easier to update, and the right default.
Feb 28, 20266 min readWhy Your First Enterprise AI Use Case Should Be Boring
Everyone wants the sexy use case first. The sexy use cases fail. The boring ones succeed, and they pay for the sexy ones.
Feb 27, 20265 min readThe Governance Problem Every CISO Is Worried About
Every enterprise AI rollout eventually hits a CISO question that was not planned for. Here are the questions, and the answers that actually work.
Feb 1, 20266 min read