Cloudera
DECEMBER 20, 2022
With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. Investment is unavoidable, so the question becomes about smart investment.
Cloudera
MAY 12, 2021
Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Data for Enterprise AI: E xperian BIS — Improving the accuracy of commercial data aggregation with data science and machine learning.
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Sisense
MAY 12, 2019
And it’s called DevOps analytics. DevOps analytics is the analysis of machine data to find insights that can be acted upon. In this case, insights that can be responded to in order to optimize a sequence or a larger process quickly. DevOps data analytics can be set up and measured at any time during your DevOps journey.
bridgei2i
MAY 26, 2020
In the twelve-year bull run that preceded this crisis with short secular uptrends; statistical forecasting models could not really be differentiated from high powered causal machine learning models. You know, in terms of performance, at least. But now this will all start to make a big difference.
Sisense
APRIL 14, 2020
Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to name a few. were suddenly facing a pandemic?
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