IT-OT convergence is the architectural integration of Information Technology (IT) systems — SAP, PLM, analytics, cloud platforms — with Operational Technology (OT) systems — PLCs, SCADA, DCS, MES, IoT sensors. It matters for manufacturing because all of the high-value digital programs that manufacturing enterprises want to deploy — AI-based defect prediction, predictive maintenance, real-time OEE monitoring, digital twins — require real-time data from the shop floor to function. Without IT-OT convergence, that data exists in OT systems that are isolated from enterprise IT systems, and organizations resort to manual data collection that is slow, inaccurate, and impossible to scale. EMUG’s IT-OT convergence programs connect the shop floor data that drives AI and analytics programs to the enterprise systems where actions are taken.
IT security prioritizes confidentiality, integrity, and availability — in that order. OT security prioritizes availability, integrity, and confidentiality — in reverse order, because an OT system that is shut down for a security patch can cause production downtime, safety incidents, or environmental damage. OT systems also have lifecycle characteristics that are very different from IT systems: PLCs and SCADA systems are designed for 20 to 30 year operational lives, often run operating systems that cannot be patched, and cannot be taken offline for maintenance windows on the same schedule as IT systems. EMUG designs IT-OT integration architectures that respect OT security requirements — using the IEC 62443 Purdue Model zone and conduit architecture to enable data flow from OT to IT systems without exposing OT systems to IT network threats.
EMUG’s OT integration architects work with OPC-UA (the primary standard for modern PLC and SCADA connectivity), OPC-DA (legacy OPC Classic for older Siemens, Rockwell, and Schneider systems), Modbus TCP and Modbus RTU (widely used for simple sensor and actuator connectivity), PROFINET (Siemens industrial Ethernet), EtherNet/IP (Rockwell Automation industrial Ethernet), MQTT (lightweight publish-subscribe protocol for IoT sensor connectivity), and vendor-specific protocols for Emerson DeltaV, Honeywell Experion, ABB System 800xA, and other DCS platforms. For legacy systems with no standard protocol support, EMUG designs custom data extraction solutions using historians (OSIsoft PI, Aveva Historian) or screen-scraping interfaces where no API is available.
EMUG integrates OT data with SAP through three primary mechanisms depending on the use case and SAP version. For SAP S/4HANA: SAP Edge Services provides a managed cloud service for connecting OT data from IoT sensors and edge devices to SAP IoT and SAP Analytics Cloud. SAP Manufacturing Integration and Intelligence (MII) provides a dedicated manufacturing-to-SAP integration platform for production order confirmation, quality inspection results, and maintenance notifications. For custom integrations: REST API connections from edge platforms (Azure IoT Hub, AWS IoT Core) to SAP OData APIs provide flexible OT-to-SAP data flow. EMUG selects the appropriate mechanism based on the client’s SAP version, OT data volumes, and real-time latency requirements.
ISA-95 (also known as IEC 62264) is the international standard for enterprise-control system integration — defining a five-level functional hierarchy (Level 0: field devices, Level 1: basic control, Level 2: supervisory control, Level 3: manufacturing operations management, Level 4: business planning and logistics) and the information flows between each level. IT-OT convergence programs use ISA-95 to define what data flows between each level, at what frequency, in what format, and through what integration mechanisms. EMUG uses ISA-95 as the architecture framework for all IT-OT integration designs — ensuring that the integration architecture is documented to an industry-standard reference that can be understood, maintained, and extended by the client’s internal teams after program delivery.
Edge computing sits at the boundary between the OT network and the IT/cloud network — performing local data processing, filtering, and aggregation before transmitting data to enterprise IT systems. In IT-OT convergence programs, edge computing serves three purposes: data reduction (filtering the raw high-frequency sensor data stream from thousands of data points per second to the meaningful events and aggregations that enterprise systems need), latency reduction (enabling real-time inference for AI models at production line speed without cloud round-trip latency), and security (providing a controlled data extraction point that limits the data and protocols that cross the OT-IT boundary). EMUG deploys Azure IoT Edge, AWS Greengrass, and Siemens Industrial Edge runtimes on appropriate edge hardware based on the client’s cloud platform and OT environment.
AI and predictive analytics programs for manufacturing — predictive maintenance, defect prediction, yield optimization, digital twin — require real-time or near-real-time access to shop floor data that currently exists only in OT systems. IT-OT convergence creates the governed, reliable data pipeline that makes this data available to AI models and analytics platforms. Without IT-OT convergence, AI programs either work on historical data exported manually (limiting the value of real-time prediction) or build fragile point-to-point connections that break with OT system changes. EMUG designs IT-OT integration architectures specifically to support the data requirements of the AI and analytics programs in the client’s digital transformation roadmap — ensuring the integration architecture is purpose-built for the AI use cases it needs to serve.
EMUG delivers IT-OT convergence programs to automotive manufacturers (IATF 16949 data traceability requirements), aerospace and defense organizations (AS9100 Rev D, ITAR compliance), industrial machinery and equipment producers, energy, oil, and gas companies (IEC 62443 and NERC CIP requirements), and engineering services firms. Delivery countries include Germany, France, UK, Netherlands, Sweden, Italy, Spain, Poland, Czech Republic, UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, India, China, Japan, South Korea, Malaysia, Thailand, USA, Canada, Mexico, Brazil, South Africa, Nigeria, and Kenya.
