Gartner Names 3 Cool Vendors in IoT Analytics, 2018
Analyst house Gartner, Inc. has released its newest vendor reporting highlighting three emerging solution providers that offer CIOs innovative alternatives in the data and analytics space. Its Cool Vendors in IoT Analytics, 2018 zones in on startups that offer some disruptive capability or opportunity. Gartner says that cool vendors “exist across all major areas of technology and innovation” and CIOs that pay close attention to these trends can avoid the “disadvantage in trying to keep up.”
At Solutions Review, we’ve read the full report, available here, and want to take the opportunity to expand upon the introduction Gartner has given to these providers. Though Gartner’s process for selecting Cool Vendors is somewhat mysterious, we believe our unique view of the marketplace can help you to better understand how these tools will fit into the overarching landscape as they mature.
Arundo Analytics offers cloud-based and edge-enabled software for deploying and managing industrial data science tools. The solution allows industrial companies to run machine learning analytics that connect industrial data to predictive models so that users can connect model insights to business decisions. Arundo was founded in 2015 and graduated from Stanford University’s StatX program a year later. In 2017 it was named to the MIT STEX25 by the Massachusetts Institute of Technology.
Element Analytics offers industrial analytics through its Element Platform. The product automates and continuously delivers a ready data lake for time-series and business data via Operational Digital Twins. The tool allows organizations to connect hundreds of operational systems, design and build digital twins, and keep them up-to-date indefinitely. The platform is comprised of three key capabilities: Graph Studio, Data Integrity, and a Common Data Layer. Element Analytics was founded in 2015 by David Mount and Sameer Kalwani. The company has raised $22 million in venture capital, with its most recent round coming in January of 2018.
SWIM.AI offers edge data analytics capabilities via its SWIM EDX platform. The product analyzes what SWIM refers to as ‘gray’ data at the edge, as it’s produced, to identify events, relationships and issues. EDX also creates digital twin models of real-world devices that utilize machine learning to self-learn and predict. SWIM delivers views of analyzed data to any device in real-time, or to streaming APIs for enterprise use cases. The company was founded in 2015 in San Jose, California.
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