Data availability challenges for AI model training
A very commonly heard thing about AI models is that the more data available the better. This is only the case if the model is actually able to leverage all the data. More often than not this is, unfortunately, not the case. One of the main reasons is data quality, and sensor availability specifically.
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Staying healthy while remote? Here's what our team suggests
We came down to four big topics: being outside & exercising, eating, communicating, and (not) commuting.
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Jungle takes part in the Windpower Data and Digital Innovation Forum
The wind energy industry event will take place virtually between the 23rd and the 24th of February.
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AI company Jungle raises EUR 1 million
Lisbon & Amsterdam, May 2021 – Dutch artificial intelligence company Jungle raises funding of 1 million euro from impact investor SHIFT Invest. The capital raised completes Jungle’s 3.2 million euro seed stage funding. It will be used to accelerate the development of Jungle’s AI platform Canopy, and its deployment in renewable energy and industrial processes.
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Downtime reduction via predictive maintenance
Discover six different ways our product helps wind portfolio owners increase their profitability.
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Automatic detection of power curtailment due to component overheating
Component overheating impacts wind portfolio revenues. Discover how to detect and minimise its impact on your fleet.
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Why operators are ignoring SCADA alarms
In this blog post, we present why SCADA alarms are abundant but not helpful for operators.
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Scaling wind power forecasting for energy trading
Trading penalties cause multi-million euro costs to wind energy producers. At Jungle, we develop state-of-the-art forecasting models that directly translate to economical savings.
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Normality modeling to conquer complexity
Challenges in creating tangible value with AI in industrial applications and how we overcame them with state-of-the-art ML normality models.
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