AI
How to Reduce AI Hallucinations: Prompting Techniques That Actually Work
You have far more control over AI hallucinations than you realize.
by Mary Ann Belarmino | Published in Medium
Define AI Governance Early. Avoid Paying For It Later.
One of the critical yet most overlooked pillars of AI Transformation is having a clear AI Governance Policy. As companies rush to embed AI into every workflow, the biggest risks now come not from the models, but from the absence of clear governance.
by Mary Ann Belarmino | Published in Medium
The 13 Pillars of AI Transformation Strategy: A Framework for Business Leaders
A practical roadmap synthesizing insights from McKinsey, Accenture, AWS, and real transformation patterns.
by Mary Ann Belarmino | Published in Medium
Choosing the Right LLM Architecture Starts With One Question: What Business Constraint Defines Success?
A Practical Framework for Choosing the Right LLM Architecture Based on Business Constraints.
by Mary Ann Belarmino | Published in Medium
Architecture Sets Constraints. Prompting Tunes Yield: A Practical PM ROI Playbook
AI ROI problems are not only about model limits, data quality, or adoption.
They can also be control problems, where cost accumulates in retries, exception handling, and operational labor. Prompt design is a low-cost way for PMs to improve yield and reduce downstream rework.
by Mary Ann Belarmino | Published in Medium