decision framework
3 stories filed under decision framework on Beyond Market Intelligence. The newest of them: “Why classic data science skills still shape smarter AI evaluations”, “Four Workloads, Three Layouts: A Practical Guide to Lakehouse Data Decisions”, and “Six practical steps for migrating to micro-frontend architectures”. Classic data science skills aren't obsolete, they're the foundation for smarter AI evaluations. Physical data layout is one of the most consequential decisions in lakehouse engineering, and Kushal Kumar Vishwakarma's comparison of Liquid Clustering, ZOrdering, and partitioning across four workload types reveals… 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 decision framework story on Beyond Market Intelligence, newest first.
Why classic data science skills still shape smarter AI evaluations
Classic data science skills aren't obsolete, they're the foundation for smarter AI evaluations. This piece from /u/rhiever makes a compelling case that the analytical rigor we built in traditional data science still shapes how we assess modern AI systems. It's a refreshing perspective that doesn't dismiss the past but instead shows how those core competencies remain essential. For deeper context, our related article "From Bell Labs to the R‑hat metric" traces a key Bayesian idea that echoes this same theme.
Four Workloads, Three Layouts: A Practical Guide to Lakehouse Data Decisions
Physical data layout is one of the most consequential decisions in lakehouse engineering, and Kushal Kumar Vishwakarma's comparison of Liquid Clustering, ZOrdering, and partitioning across four workload types reveals two undocumented failure modes likely affecting production systems today. This is the kind of practical guidance that transforms how teams approach Delta Lake. For deeper context on how AI is reshaping data workflows, see our coverage of Context Language Models from Meta, MIT, and UW.
Six practical steps for migrating to micro-frontend architectures
Migrating from a monolithic web app to micro-frontends is rarely just a technical shift. It's a test of architecture, team boundaries, and rollout strategy. Luca Mezzalira brings hard-won lessons from guiding hundreds of teams through that exact journey. He clarifies the critical distinction between components and micro-frontends, then walks through a six-step framework covering client versus server rendering. The practical focus on edge compute for safe, iterative rollouts stands out as especially useful.