practice
Beyond Market Intelligence keeps practice in one place: 3 stories so far. The section currently leads with “Answering the Unanswerable: Real-World Lessons in Causal Inference”, “Explore the Forrester Function: Beyond Mathematics, a Tool for Machine Learning”, and “Discover how strategic teams amplify AI for measurable software success”. Causal inference answers questions that feel impossible: what would have happened otherwise? The Forrester function is often taught as a mathematical curiosity, but its real value lies in testing how well optimization algorithms handle non-linear, multi-modal problems. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every practice story on Beyond Market Intelligence, newest first.
Answering the Unanswerable: Real-World Lessons in Causal Inference
Causal inference answers questions that feel impossible: what would have happened otherwise? This blog makes that abstract field concrete by walking through real-world examples where the methods actually solved problems. For newcomers, the clarity is the point. The examples do the teaching, turning tricky concepts into something you can grasp and apply. If you are exploring how AI reshapes data workflows, this is a natural next stop. Happy reading.
Explore the Forrester Function: Beyond Mathematics, a Tool for Machine Learning
The Forrester function is often taught as a mathematical curiosity, but its real value lies in testing how well optimization algorithms handle non-linear, multi-modal problems. That user asking about its role in machine learning is onto something, this function is a standard benchmark for evaluating model performance, not a solution for real-world economics or forecasting. It belongs in the toolbox of anyone validating methods, not applied directly to data.
Discover how strategic teams amplify AI for measurable software success
DORA's 2025 research makes one thing clear: AI amplifies whatever system it touches, so the real work is shaping the organization around it. Ben Linders breaks down team profiles and success capabilities that turn this insight into action. It's a practical read for anyone tired of chasing tools instead of outcomes. If you're still weighing the human side of AI, "Talking to My AI Clone Taught Me to Question the Tech" pairs well with this analysis.