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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

If IWB hoped to fulfill its mission of helping to usher in a fully renewable future, an intelligent solution had to be developed to accurately predict solar power production. Merging the data IWB Industrielle Werke Basel (IWB) emerged from the private gas industry in 1852, becoming an electric company in 1899.

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AVM Cloud: Empowering Enterprises in Malaysia to Deploy a Robust Sovereign Cloud

CIO Business Intelligence

Originally known as Integrated Global Solutions Technologies, AVM Cloud has a long relationship with VMware going back to 2010.

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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

The new platform furthers the sustainability journey the NHL started in 2010 when it inaugurated its NHL Green initiative to promote sustainable business practices across the league. Sustainability is all about continuous business improvement. Sustainability is all about innovation and business optimization.

Metrics 144
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Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. The same issues were revealed when Microsoft launched Delve, and before that when the FAST integration brought powerful search to SharePoint in 2010.

IT 143
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Generative AI: A paradigm shift in enterprise and startup opportunities

CIO Business Intelligence

Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. The ability to work with these technologies at an unprecedented scale – both in terms of the size of the model and the amount of training – is a recent and critically important phenomenon.

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Structural Evolutions in Data

O'Reilly on Data

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work.

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How to make the most of global talent opportunities

CIO Business Intelligence

The early 2010’s practice of co-locating talent supercharged collaboration, but also limited organizations’ ability to scale with a workforce based in high-density, cost-prohibitive metros. Communication should instead be optimized to provide the most time value for teams.