A Five-Part Framework To Move From AI Experiments To AI Profit

When it comes to AI, this five-part framework can help give you a roadmap to move from experimentation to execution.
IEEE

Evaluation of an agent-based reinforcement learning framework for model-based testing

Abstract: This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework’s performance was assessed on three key metrics: effectiveness and ...

The End Of Agile: Why AI Demands A New Engineering Paradigm

Unlike the linear sprints of Agile, CAIL is a "contracts-first" framework designed to tame the probabilistic nature of AI ...
IEEE

Understanding the Determinants of Firms’ Usage of A/B Testing: A Technology–Organization– Environment Framework

Abstract: A/B testing plays an essential role in driving firms’ digital product innovation. However, it is astonishing that a majority of the firms around the world have not adopted A/B testing in ...