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Updated MIx Core Platform Tackles Data Integration Challenge for IIoT Ecosystem

Bit Stew Systems’ solution offers new capabilities that enable small teams to solve big industrial IoT problems, deliver operational intelligence faster.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Bit Stew Systems, developer of a platform that tackles data integration challenges in the Industrial Internet of Things (IIoT), has released version 10 of its MIx Core platform, a self-serve solution for intelligent data management for the IIoT ecosystem. 

Bit Stew’s MIx Core handles complex data integration and data analysis to provide intelligence from connected devices at the edge, OT, and IT systems as well as external sources. Unlike conventional ETL and BI tools, MIx Core automates data integration by applying machine intelligence to the process, which reduces project costs by an average of 90 percent compared to traditional approaches. 

The underlying technology of MIx Core provides an unmatched capability to integrate data in dynamic and complex industrial environments. The platform applies its library of machine-learning algorithms using the MIx Core Analytic Framework. The framework applies groups of algorithms in an ensemble, processing and analyzing data at the document level, and giving richer context to extracting semantics. Once the platform either creates or extends a semantic model, it can continue to enrich the model’s entity relationships by marking and analyzing the data’s byte sequences and patterns through assertion-based logic.

“Small teams can now solve big industrial problems with MIx Core,” said Franco Castaldini, Bit Stew’s vice president, marketing. “The introduction of version 10 and the new Data Management Workbench provides a self-service experience that enables IT and OT professionals to quickly model, map, and ingest data from disparate sources.”

The platform removes the time and cost associated with continuous data wrangling which empowers industrial enterprises to transform and optimize their business, realize cost reductions, optimize asset performance, and improve productivity,” Castaldini noted.

Analysts predict that through 2018, half the cost of implementing IoT solutions will be spent integrating IoT components with each other and back-end systems. As a result, one of the biggest challenges industries will face is how to effectively integrate the magnitude of data being generated.

Edge Processing for Real-Time Analytics with Intel

MIx Core enables edge processing through automated data ingestion, modeling, and mapping capabilities. The platform ingests data directly from equipment sensors without the need for extensive API libraries. A federated architecture supports analytics from control systems to cloud environments, allowing the application of analytics to data while in motion. This enables real-time access to actionable insights, in a local context, to vastly improve operational agility.

Bit Stew’s MIx Core has been standardized from the beginning on Intel’s processors both in the data center and at the edge. The MIx Core platform interacts with embedded technology layers such as an Intel IoT Gateway using Intel’s MQTT broker to receive sensor data, perform analytics on that data, and transmit the results to a cloud-based instance of the platform. This is an example of how Bit Stew and Intel solve the data integration, processing, and analytics challenge at the edge, helping industrial enterprises derive faster time to value from IIoT.

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