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VMblog Expert Interview: Plainsight Brings Vision AI to SUSE Linux


Enterprises have an insatiable appetite for data to manage operations, as evidenced by the rapidly expanding Enterprise Resource Planning (ERP) market, and it's estimated that the 2024 total addressable market is $71.4B worldwide, and ERP services are approximately $25B. It's no secret that SAP is a world leader in ERP, but you might not know that 70% of all SAP workloads run on SUSE Linux Enterprise Server (over 90% of SAP HANA deployments and 70% of SAP NetWeaver applications run on SUSE Linux Enterprise Server for SAP Applications). SUSE has quietly become an important ingredient in the rise of SAP ERP solutions. 

As AI enters the conversation, how can enterprise data benefit from computer vision to drive new workflows that digitize real-world operations? To learn about the latest, VMblog caught up with Kit Merker, CEO of Plainsight Technologies, a provider of vision AI for enterprise data. Plainsight Technologies announced support for SUSE Linux Enterprise Micro this week, and will demonstrate the integration at SUSECON in Berlin June 17-19, 2024.  

VMblog: The ERP industry is rapidly growing, and this caught my eye. Can you give VMblog readers an overview of the news?

Kit Merker: Plainsight filters generate enterprise data from video streams using computer vision and machine learning. We let vision data flow directly into SAP and other ERP systems

We now support SUSE, which is widely used to deploy SAP HANA and we are making it easier to deploy filters on the same OS they already use and trust using. This partnership is a big step forward in making it easier to deploy and manage computer vision applications at the Edge. With this integration, businesses can now extract enterprise data directly from video feeds using AI-powered filters, achieving a level of accuracy and efficiency similar to what's seen in e-commerce systems.

VMblog: What challenges in the market does this partnership address? Why should people care?

Merker: There's a massive gap in the market regarding vision AI to generate enterprise data.  It's really hard to bring data from the physical world into ERP, app dev, analytics, and other business processes. Our collaboration with SUSE Linux aims to address this issue by providing a secure, regulatory-compliant, and efficient way to bring this data in to help support deployment at the Edge. This will empower more people to create applications and help build a more digital and connected world.

VMblog: Can you elaborate on how Plainsight's technology works with SUSE Linux Enterprise Micro?

Merker: Absolutely. FilterBox powers our Plainsight Filters, and by supporting SUSE Linux Enterprise Micro, we ensure a minimal footprint for optimal resource allocation. This is critical for running AI workloads efficiently at the Edge. Our system converts real-time video into valuable business metrics, which integrate seamlessly with ERP and business intelligence systems. This approach brings the same level of visibility and operational efficiency to physical businesses that e-commerce platforms enjoy.

VMblog: What specific innovations does this integration bring to the table?

Merker: This integration significantly simplifies the deployment of computer vision applications. By leveraging SUSE Linux's secure and efficient environment, businesses can automate operations and obtain accurate data for planning and analysis. This capability enables companies to track inventory, identify defects, estimate yield, and improve overall data accuracy without requiring extensive AI expertise. It's a transformative development for industries like manufacturing, agriculture, and retail.

VMblog: How will this partnership benefit developers and enterprises?

Merker: Quite frankly, developers and enterprises will find it much easier to build and manage computer vision applications. For instance, SAP consultants can deploy our computer vision apps, known as 'Filters,' with ease, using familiar tools and processes. This not only speeds up the development process but also helps businesses gain insights and optimize their operations more effectively.

VMblog: What are some real-world applications of Plainsight Filters?

Merker: Plainsight Filters have wide-ranging applications across various industries. In manufacturing, for instance, they can be used for inventory and yield management, quality control, and compliance tracking. In agriculture, they help monitor crop health and predict yields. In retail, they enhance inventory management and analyze customer behavior. Essentially, any visible process can be quantified and improved using our computer vision technology.

VMblog: How does SUSE support enhance Plainsight's capabilities?

Merker: SUSE supports a diverse range of workloads, from massive SAP HANA deployments to computer vision at the Edge. With Plainsight, SUSE users can now integrate advanced vision intelligence into their operations, seamlessly generating enterprise data to ERP and analytics processes. This partnership enhances our ability to reach more industries and provide powerful, easy-to-deploy computer vision solutions.

VMblog: What can attendees expect from Plainsight at SUSECON 2024?

Merker: At SUSECON 2024, we'll be demonstrating our solution live at our booth. Attendees can see firsthand how our technology is transforming industries with advanced computer vision capabilities. We invite everyone to visit our booth or check out for more details. This event is an excellent opportunity to learn how we are making it easier for businesses to leverage AI and build towards a more digital and efficient world.


Kit Merker has over 20 years of experience in large-scale software development projects and has worked in a variety of roles from coding to product management.  Prior to Plainsight, Merker served as Chief Growth Officer of Nobl9, a software reliability platform company.

Published Wednesday, June 12, 2024 7:30 AM by David Marshall
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