CloudFactory Data & AI

The CloudFactory Data and AI Team includes AI engineers, Forward Deployed Engineers (FDEs), data scientists, and CloudFactory Evaluators who build and operate production AI for enterprises and AI technology companies. Since 2010, the team has helped more than 700 organizations develop, deploy, and run reliable AI across data foundation, model and agent evaluation, AI trust, and managed AI operations. Their writing draws on that hands-on work in industries where AI decisions carry financial, safety, and regulatory weight.
Confidence scoring and human-in-the-loop routing: how production AI knows when it’s wrong

Confidence scoring and human-in-the-loop routing: how production AI knows when it’s wrong

Confidence scoring and human-in-the-loop routing let production AI flag uncertain outputs, route them to the right expert, and learn from every correction.

Read More
Trusted AI, defined: the four properties that make production AI defensible

Trusted AI, defined: the four properties that make production AI defensible

Trusted AI is AI whose performance is known, decisions are traceable, authority is bounded, and errors make it better. Here's how enterprises build it.

Read More
7 P&C AI and automation trends shaping insurance in 2026

7 P&C AI and automation trends shaping insurance in 2026

Seven P&C insurance AI and automation trends for 2026, from agentic claims and imagery prefill to AI fraud defense and NAIC AI exams, with data.

Read More
8 things to know about generative AI services (2026)

8 things to know about generative AI services (2026)

Learn 8 criteria for evaluating generative AI services, from data governance and domain context to human-in-the-loop validation and model monitoring.

Read More