Why, given that iterative and incremental [1] approaches dominate the literature, does business remain so wedded to the waterfall [2] approach to software development?

I took Managing Iterative Software Development Projects, by Kurt Bittner and Ian Spence (Addison-Wesley, 2007, 672pp, $49.99, ISBN-10: 0-321-26889-X) home to read over the Memorial Day weekend ...

The iterative process that works best is one that continuously improves the software while taking constant client feedback into consideration.

Iterative’s developer-first approach to MLOps delivers model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows.

Iterative’s developer-first approach to MLOps delivers model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows.

Agile content development is a high-intent growth lever for content creation—one that uses data science and an iterative approach to continuously optimize and deliver solution-focused content.

Concepts such as minimum viable products and iterative development are mainstay approaches for organizations developing both products and services.

Agile promises continuous improvement through an iterative process, but without proper checks, project failure is commonplace.

You see how good your model is, you refine that model, and that virtuous, iterative cycle allows you to identify better and better medicines.” AI can be applied across the drug development ...