This blog explains how Mixture of Experts models work, why they improve performance and efficiency and how they compare to traditional model architectures.
This blog explores how organizations progress through stages of AI maturity, from early experimentation to operational transformation and why growth happens step by step.
Progress Corticon 7.3 and Corticon.js 2.4 introduce AI-powered test data generation, deeper AI integration, and governance-friendly export options, dramatically reducing manual testing effort and accelerating decision automation. These updates enhance accuracy, transparency, and speed, enabling organizations to model, validate, and deploy automated decisions with greater confidence.