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Element is preparing to announce an API integration between its Element Unify software and AWS IoT SiteWise. The product, launched in December, includes multiple IT and OT sensor feeds to provide visibility into the performance of industrial equipment. API integration will allow customers to centralize the integration of factory data models and metadata management into a single context-sensitive service, streamlining capabilities and making them more accessible to AWS customers, Andy said. Bane, CEO of Element, at VentureBeat.
“While monitoring isn’t new, what’s new is the idea that you can achieve much greater scale and reach at a much better price by using a hyperscaler cloud like AWS“said Bane.
The integration will be available on the AWS Marketplace and will allow data to be ingested into AWS services, including AWS IoT SiteWise and Amazon’s S3 Industrial Data Lake. Additionally, it can help customers more easily create the underlying data models to power other analytical systems, including Amazon SageMaker, Amazon QuickSight, and Amazon Lookout for Equipment.
From surveillance to autonomy
As companies in various industries increasingly use sensors, Element’s technology is geared towards industrial enterprises, such as those involved in agriculture, pharmaceuticals, power generation, transmission distribution electricity and other critical infrastructure. Specialty chemicals company Evonik, for example, tries to optimize capital expenditure and improve uptime and equipment availability using software.
Within Element’s customer base, many companies have hundreds of factories around the world, creating a lot of data at the fleet, process and equipment level. By 2025, researchers to predict 55.6% of all data will come from IoT devices, including industrial equipment. The pandemic has also had an impact on the need for plant data management, forcing more workers to remotely monitor the status of their equipment.
“These data are really nasty to work with. And so being able to figure out how you can bring context to all of this, this sensor data in the factory, is really new territory, ”Bane said. Without the use of software like hers, Item claims that 95% of the data generated throughout the industrial enterprise is unusable.
In addition to helping prevent costly equipment issues, reducing production variances, and making it easier to understand industrial data both in the factory and in the boardroom, the solution could be a stepping stone for business people. industrial companies seeking to bring more intelligence to their existing systems. Bane believes the companies that will benefit the most from this integration are those looking to apply AI and machine learning to all the OT data they’ve collected. He added that industrial companies need to build a base around monitoring and diagnostics before they can actually achieve autonomy.
Increase in data and management solutions, as well as connectivity technologies such as 5G, are considered the keys to the emergence Industry 4.0. Globally, the global market related to industrial digital transformation is expected to exceed $ 300 billion by 2023, marking a 384% increase in just five years.
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