Category Archives: Decision Modeling

Harvard Business Review under the section “Organizational Decision Making” published the article “Leaders: Stop Confusing Correlation with Causation“. It explains how we could eliminate many problems and tons of noise just by recognizing that correlation is not causation. Link

Modern enterprises quickly evolved from monolithic to microservices architectures and CI/CD pipelines become the common practice. Correspondingly different Decisioning Platforms made necessary adjustments to support CI/CD security, continuous integration and delivery/deployment requirements. Here are recent publications devoted to different decision … Continue reading →

Pierre Haren wrote at LinkedIn: “For once, today, I will not have an answer but a question. It is about the worldwide supply chain, and the question was asked by David Simchi-Levi, MIT professor on a recent phone call: can … Continue reading →

The AAAI-22 workshop on AI for Decision Optimization (AI4DO) will explore how AI can be used to significantly simplify the creation of efficient production level optimization models, thereby enabling their much wider application and resulting business value. The desired outcome of this … Continue reading →

Peter Norvig is a well-known name in AI. He co-wrote Artificial Intelligence: A Modern Approach, an introductory textbook used by some 1,500 universities worldwide, and he’s taught hundreds of thousands of students through his courses on online education platform Udacity. In this … Continue reading →

An interesting discussion has started at LinkedIn around this possible answer: All 5 elements of this formula have been questioned: Link