Blog Archives – Viking Analytics

Science Behind Industry 4.0: The Origins of Bayesian Statistics

Bayesian methods have become widely used in machine learning and pattern recognition. Talking simplistically, traditional – or ‘frequentist’, statistics see probability as the limit of relative frequencies of events as the number of trials increases, assuming a fixed set of distribution parameters. Bayesian statistics, on the other hand, is more concerned with adapting a model’s

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Data is the new gold… or is it?

Many industrial companies have been collecting data for several years if not several decades with varying degree of success in terms of the quality of the data collected. We asked ourselves, if data is the new gold, why are companies struggling with converting it to real tangible revenue? Afterall, this was the reason we started

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The new MultiViz is here!

When we founded Viking Analytics in 2017, our mission since day one has been to put manufacturing data – and all its possibilities – in the hands of professionals that know the most about the production lines, the processes, the machines. Our self-service data analytics software, MultiViz, became the embodiment of this mission. Three years

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Viking Analytics joins the IBM Accelerator Program

Viking Analytics is very proud to join the IBM Accelerator Program Sweden. In the next months, we will work together to integrate and establish a sales partner program to MultiViz through IBM Ecosystem and RedHat marketplace. “This is a major step for Viking Analytics, as it relates directly to our scalability and attests to the

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The science behind Industry 4.0: theoretical foundations of Deep Learning via Sparse Representations

Each day, it increases the frequency we hear terms such as artificial intelligence (AI), machine learning (ML) and deep learning (DP). A lot of time these terms are used interchangeably and the relationship between them is not always clear. Artificial intelligence is the intelligence demonstrated by machines to creatively solve problems. Machine learning is a

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