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How Agile Teams Can Improve Predictability by Measuring Stability
In this article, we will present our approach for analysing agile systems as networks of queues and how we have used it to analyse 926 projects in the Public Jira Dataset. We explain how you can measure the Stability Metric (SM) for your queues. Finally, we will present our planned next phase of research.
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Streaming-First Infrastructure for Real-Time Machine Learning
This article covers the benefits of streaming-first infrastructure for two scenarios of real-time ML: online prediction, where a model can receive a request and make predictions as soon as the request arrives, and continual learning, when machine learning models are capable of continually adapting to change in data distributions in production.
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Kanban at Scale – A Siemens Success Story
This article shows an internally driven and remarkably smooth Kanban implementation approach which very quickly rewarded Siemens Health Services (HS) with real and sustainable improvements in predictability, efficiency and quality. It demonstrates the benefits of “flow” and its advantages in terms of actionable metrics and forecasting capabilities based on real data captured from recent releases.