Announcement Blogs

Welcome, Silicon to the Element Family!

With this release, we introduce a brand new, data-structuring function called Transpose Columns in Element AssetHub’s library of data pipeline transformations.

Equipment data consists of continually-changing time series data as well as static, or slow-changing, data that site engineers often collect and store in a variety of documents and formats. While building a pipeline, you may have several columns of static and non-static tabular data that are not directly compatible with the format required in AssetHub. With the Silicon release, AssetHub now offers Transpose Columns as a powerful data-shaping function for re-ordering this data into an acceptable row-based format, making it easy for AssetHub to consume and use.

Additional new features in this release enhance the user experience when you log in to AssetHub or when you build the Asset data model.

Here are the new features and updates:

  • Transpose Columns transformation for reshaping data
  • Pipeline enhancements
  • Bulk management of templates
  • User control of jobs
  • Security updates

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Welcome Aluminum! Introducing Asset Explorer in Our Latest Release

Today we’re announcing the Aluminum release of Element AssetHub. We’re constantly updating our product to reflect the latest learnings working with our customers. Some of you may know that we’ve been tracking each release using a name from the periodic table of elements. With each release as a new atomic number, we give birth to a new Element (Pop Quiz: What is the atomic number of Aluminum? Find out here.).

The Aluminum release adds new features to Asset Explorer. Asset Explorer offers operational teams an easy way to build and explore hierarchies of asset data and is a core function of Element AssetHub. Hierarchies allow different data consumers to view information about the relationships between data in a way that makes sense to them. For example, what’s good for the reliability engineer who wants a hierarchy of target equipment, won’t work for the process engineer who needs to see the data across multiple units within an overall process. If you’d like more detail on what Element AssetHub can do within your organization, read our primer.

Anyhow, back to the new features:

  • Revamped UI
  • Improved scalability
  • Private hierarchies

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What is Element AssetHub?

ARC’s Industry Forum is an annual pilgrimage for operations leaders in global industrial companies and their technology vendors who want to share best practices, stay on top of emerging trends, and catch up with old friends. 950 of us gathered last week in Orlando, FL to address “Digital Transformation,” and the need for asset-intensive industries seeking to adopt modern technologies like cloud computing and Artificial Intelligence (AI) that are increasingly embedded in other industries like finance and healthcare.

This was the perfect venue for us to announce the release of Element AssetHub because industrial digital transformation depends on data, a lot of data, and AssetHub is the world’s first data hub built to address the unique challenges of asset data – all IT/OT data associated with industrial equipment and operations.

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Element Continues to Grow and Hires New Leaders from Oracle and GE Digital

I’m gratified to lead a startup providing an impactful software solution to industrial companies. I’m even more gratified when that solution gets noticed and oure company gains momentum.

The most recent evidence of Element’s momentum -- scaling to reach more companies with our solution -- is the hiring of our first EVP Sales. The indicators of our ramp can be found beyond that, however.

The news: we’ve hired Stephen Walsh as our first Executive Vice President of Sales.

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Leading Analyst Firm Weighs In On Industrial IoT (and that’s a good thing)

If you’re reading this, you know that one of the industrial sector’s current Holy Grails is data analysis. Industrial IoT generates huge amounts of operations data and so, the thinking goes, companies should move quickly to analyze that data. This, in turn, should pave the way to enhanced operational efficiency, smarter use of equipment, smaller environmental impacts, better worker safety and, of course, higher profits. Simple, right? Amazon, Google and Facebook profit mightily from sophisticated data analysis – so why not oil and gas, manufacturing and utility companies?

But if you’re reading this, you also know that processing, managing and integrating data from sensors, engineering systems, and transactional systems is really hard. The job generally requires deploying a battalion of people armed with spreadsheets. In the current era of algorithms and automation, managing industrial data is embarrassingly last-century.

Knowing this, it’s fair to ask if reality will ever catch up to the hype of industrial data analysis. Specifically, will a method emerge to efficiently manage and integrate industrial data so that sophisticated analytics can be performed?

We feel that Gartner, the world’s leading IT analyst firm, is increasingly focused on this question. We think that fact alone should tell you that something is up.

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