Emerson has announced the latest evolution of its AspenTech Inmation OT Data Fabric, which Emerson is positioning as the intelligence layer within a highly-integrated industrial data platform to speed enterprise-wide digital transformation. The new upgraded platform aims to enable industrial firms to combine operational technology (OT) data from edge, on-premise and cloud-based systems while managing advanced analytics, AI-enabled workflows and autonomous operation. The platform’s architecture moves away from pre-defined inflexible solutions toward the more flexible, distributed node architecture that eases deployment scalability governance and security demands across many industrial sites. Emerson claimed that the new data fabric allows firms to build a common system for contextualized industrial data to improve visibility, operational flexibility and real-time decision making with no disruption to existing legacy infrastructure.
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It supports both Windows and Linux operating environments, including small-footprint edge systems, to give manufacturers and industrial operators a broader set of options for distributed operations. Advancements in the areas of hierarchical database modeling, distributed computing, and embedded application programming interfaces (APIs) continue to enhance the platform’s capacity to process increasing amounts of data and organizational complexity through reliable real-time analysis. Claudio Fayad, chief technology officer at Emerson’s Aspen Technology business, said, “The AspenTech Inmation OT Data Fabric is at the core of how we unify and contextualize industrial data, and its new capabilities significantly strengthen that foundation.” He further added, “By making the data fabric more scalable, flexible and enterprise-ready, we’ve created the technical underpinning required of our Inmation Data Platform to support analytics, AI-driven workflows and increasingly autonomous operations over time.” By embarking on this initiative, Emerson seeks to cement its dominance within the realm of industrial artificial intelligence (AI) and enterprise automation through the development of a digital ecosystem that can scale and integrate seamlessly with AI technology.
