Correlation is not Causation: Wind Turbine Edition
Despite the power of modern machine learning, wind farm operators still struggle to predict with confidence when a turbine's gearbox is about to fail and plan maintenance before disaster strikes.
Despite the power of modern machine learning, wind farm operators still struggle to predict with confidence when a turbine's gearbox is about to fail and plan maintenance before disaster strikes.
When the world's most sophisticated technology companies all invest in the same capability, it's not a coincidence. It's a signal.
Have you ever spent hours trying to install a tool, only to hit version conflicts or mysterious errors? Do you need to run the same tool on different computers (e.g., Mac vs Linux laptops vs AWS dev servers vs CI servers), having problems maintaining the tools aligned, or even just building?
"What's the ETA for feature XYZ?"
"When will feature XYZ be done?"
Last time I counted, I've been asked and I've asked those questions about 14,400 times in 20 years I've spent in the coding trenches. Here is how I handle this question when talking to executives.
Over the past decade, data analytics and big data have transformed the way organizations operate. Companies have invested heavily in collecting, organizing, and analyzing massive volumes of data. Dashboards, predictive models, and automated reports are now commonplace, helping decision-makers see trends, forecast outcomes, and optimize processes.