By Johan Isaksson, co-founder and Product Manager at Viking Analytics. 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
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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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Machine learning (ML) is present in many aspects of our lives, to the point that is difficult to get through a day without having contact with it. The most common example is doing a simple Google search, trained to show you the most relevant results. But ML can also be found in our smartphones, through
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Recently, we have been in a series of digital events promoted by Business Sweden in Poland, Austria, and Hungary. It has been a very enriching experience, not only from the deal-making side, but also because it gave us perspective into how leaders are approaching the use of data analytics to improve overall plant performance. For
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It is not an exaggeration that knowledge is one of the most valuable assets a company has. Even with the growing trend of automation, technical knowledge can not be just directly bought off a shelf, as it heavily relies on the experience of more seasoned professionals. Not managing it properly can lead to loss of
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Digital manufacturing is forecasted to bring out massive, disruptive changes to the industrial world. Digital manufacturing is not about technology alone – it involves a complex braid of technology and business strategies across people, machines, and processes from the different departments within the organization. It is expected that digital manufacturing will result in a paradigm
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Self-Service Advanced Analytics for Predictive Operations and Process Manufacturing Data Industrial companies and subject matter experts need to proactively discover and exploit opportunities in their process manufacturing data. These opportunities include increasing their productivity and enhancing cost savings. However, Do the organizations and their experts have the right tools to explore these opportunities? Do the
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The industrial world is witnessing an unprecedented explosion in sensor data volumes, velocity and variety. The chemical industry, oil and gas industry, manufacturing industry among many others are piling on production data from hundreds and thousands of sensors installed on their assets and processes. Adding to this data deluge, machine manufacturers are embedding sensors into their
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4th Annual Connected Plant Conference-Harnessing Digital Tools to Drive Success Feb 25-27, 2020 Atlanta, GA Hosted by POWER and Chemical Engineering, the Connected Plant Conference is designed specifically to address the emerging trends and applications around digitalization in the chemical process and power generation industries. Advances in data analyses, simulation, modeling, modern sensors, virtual reality,
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The industrial world has witnessed three paradigm transformations: mechanization of manufacturing in the 18th century; mass production and assembly lines due to electricity in the 19th century; automation systems due to advances in electronics and computing in the 20th century. Today, we are at the cusp of the 4th paradigm shift. This shift, referred to
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