Towards Autonomous AI-based Measurement Systems

Опубликовано 29 мая 2018, 18:19

The availability of large data sets in software development and easy to use machine learning algorithms open up for new possibilities for measurement programs in large organizations. Instead of manually defining measurement goals, indicators or manually interpret the measurement values, we can use machine learning. In this talk, I will provide the experiences from constructing smart measurement programs (e.g. monitoring product quality) in large organizations like Ericsson or Volvo. This environment, supported by eleven companies, provided us with the possibility to develop the technology for these smart measurement systems and the platform for creating impact – deploying over 40,000 measurement systems and dashboards, self-healing technology and tools for quantifying impact of architecture and requirements changes in car projects.

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