Industrial Unified Namespace

A unified namespace—designed for industrial

Contextualize all industrial data and insights, unifying and simplifying, in one space and scale industrial AI use cases.

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Diagram showing a central server icon labeled 'Unified Namespace' surrounded by eight icons labeled Machine, Maintenance, Product, ERP, Process, MES, P&ID, CRM, and Inventory, representing interconnected industrial and business systems.
Screenshot of a Unified Data Platform interface showing a unified data model for MaintenanceWorkOrder, listing required properties with names, types, and source schema mappings, and a connected diagram mapping properties from the unified model to two data sources: PerthMaintenanceWorkOrder and AberdeenWorkOrder.
White paper: Unifying industrial data with agentic AI

A perspective on the role of agentic AI and Small Language Models (SLMs) in reducing manual processes to create a unified data model.

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Create insights with a unified namespace for industrial AI

Diagram illustrating unified namespace connecting various industrial data systems including CRM, ERP, Inventory, MES, Machine, Process, Maintenance, P&ID, and Product to optimize asset health, performance, sustainability, and process improvement through an Industrial AI interface at the center.

Streamline the creation of a unified namespace with IRIS Foundry. Ensure a quick and efficient setup using asset and process templates, P&ID Ingestion, AI-powered contextualization services, and pre-built industrial connectors. Structure data into an asset hierarchy and explore unified data in a user-friendly industrial knowledge graph. Simplify data orchestration

with a robust and open foundation for scalable AI solutions and deploy purpose-built, AI-powered applications on top of IRIS Foundry for rapid value realization.

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Benefits of creating a unified namespace with SymphonyAI

Streamline the creation of a Unified Namespace with IRIS Foundry. Ensure a quick and efficient setup using asset and process templates, P&ID Ingestion, AI-powered contextualization services, and prebuilt industrial connectors. Structure data into an asset hierarchy and explore unified data through a user-friendly industrial knowledge graph. This integrated approach simplifies the complexities of data orchestration, providing a robust and open foundation for scalable AI solutions. Deploy purpose-built, AI-powered applications on top of IRIS Foundry for rapid value realization.

Screenshot showing a hierarchical asset management list on the left with expandable sections for CorePower Enterprises and BMG units, displaying assets and components such as pumps labeled with codes, and on the right, an image of a blue centrifugal horizontal pump with technical details including name Pump1, model SK56, manufacturer Acme, design rating 20 Mpa and 250 m3/min, sensor types, and FMEA notes on physics analyses like cavitation detection and bearing wear detection.Digital interface showing a schematic diagram with interconnected components including valves, pumps, and sensors, displayed in blue and purple icons with labels and connecting pipes on a white background; a sidebar on the left lists identified items: ANDHS91 pneumatic signal asset, ball valve asset, and centrifugal pump asset, with options to show all entities and add an item.Central node labeled Plant connected by pink lines to various smaller nodes representing elements like Safety Systems, Waste Management, Utilities Infrastructure, Energy Management Reports, Security System, Safety Firewalls, Training, Documentation, Calibration Certificate, Network Cable, Sensors, Gas Delivery Systems, Process Automation, and Quality Control Testing.Grid of eight logos representing industrial data connectors: MQTT, OPC Foundation, OPC UA, SAP, OSIsoft, ODBC, Modbus, and Aspentech on light gray squares.
Streamline integration and scalability
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An industrial unified namespace streamlines the integration, standardization, and scalability of industrial data. As data is structured across your industrial or manufacturing enterprise, ISA-95 standards are applied and the data’s structure is easily-tailored with our drag-and-drop interface.

Automate P&ID Ingestion
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An industrial unified namespace automates the extraction and interpretation of diagram symbols, components, and connections. Minimize user intervention to improve efficiency and accuracy in data foundries by easily converting drawing text and technical specifications into structured data models.

Harness powerful data contextualization
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An industrial unified namespace harnesses powerful data contextualization to overcome the complexities of disparate data streams and sources. Ensure the coherence and relevance of your data while boosting the efficiency and accuracy of AI-driven insights.

Use pre-built connectors between assets and systems
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An industrial unified namespace’s library of pre-built connectors facilitates connection between industrial assets and systems. Use an MQTT broker and event-driven architecture to enable real-time data transformations, enhance security, and handle errors with precision.

Realize value with purpose-built applications powered by a unified namespace

Dashboard interface showing 'Protein and Salt' health metrics with a gauge displaying 32% health score, historical health score trend graph, and clinical assets list highlighting extreme health scores with percentages. A chatbot window labeled IRIS displays detailed alert information including alert IDs, levels, descriptions, major contributing factors, and recommendations related to anomaly detection in asset monitoring. The left sidebar lists different asset locations such as ABC Ltd, CAG, Protein and Salt, Coal Plant, and others.

Reduce downtime and maintenance costs with Predictive Asset Intelligence

A unified namespace uses AI to predict equipment failures before they occur, reducing downtime and maintenance costs associated with data integration between sensors and machines.

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Manufacturing workflow interface showing OP10 Black Turning Details for Gear Model C1 with a progress bar near 200 marked in blue for actual progress and gray for expected progress. It lists client, quantity 200, due date 12/20/2022, and low priority. A table below displays unit numbers with dimensions, measured values, targets, lower and upper specification limits, and results. Most results are PASS in green, except one FAIL in red for unit 200 outside diameter. A blue Submit Deviation button is at the bottom right.

Realize cost savings and productivity gains with Manufacturing Workflow Intelligence

A unified namespace optimizes production processes, product quality, and resource allocation in real-time using data from a single source of truth, leading to cost savings and productivity gains.

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Dashboard interface showing 'Protein and Salt' health metrics with a gauge displaying 32% health score, historical health score trend graph, and clinical assets list highlighting extreme health scores with percentages. A chatbot window labeled IRIS displays detailed alert information including alert IDs, levels, descriptions, major contributing factors, and recommendations related to anomaly detection in asset monitoring. The left sidebar lists different asset locations such as ABC Ltd, CAG, Protein and Salt, Coal Plant, and others.

Empower operations with metrics and insights using Plant Insights

A unified namespace empowers your entire team with smart interfaces and tailored, role-specific insights and dashboards, complemented by a library of common industrial metrics and KPIs.

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Dashboard display titled Procedure Execution History showing number of executions as 1594 with a chart of executions per period and a bar graph of executions per procedure, alongside a mobile phone screen showing an oil check task instructing to pull oil stick and check with options to approve or reject.

Support work quality, efficiency, and compliance with Connected Worker

A unified namespace empowers every connected worker with digitized and easily-manageable, step-by-step guidance to do their jobs right the first time (FTR) and remain compliant for inspections.

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Architecting a unified namespace for industrial data

Enhance data accessibility and data integration

Amplify AI applications with a unified namespace for data integration. Simplify exploration with an industrial knowledge graph and seamlessly integrate, access, and process data from disparate sources.

Enable data processing and decision-making

Improve efficiency and responsiveness with a unified namespace to facilitate real-time data monitoring, predictive maintenance, and decision-making. A single source of truth ensures AI algorithms operate on up-to-the-minute information.

Overcome integration hurdles posed by scaling

Accommodate ever-increasing data sources and types to ensure AI initiatives can scale across sites. A unified namespace mitigates data integration hurdles with a scalable architecture that allows businesses to grow.

Address interoperability concerns

Ensure legacy systems, IoT devices, and new technologies work seamlessly and effectively with AI systems. A unified namespace eases interoperability in environments with diverse equipment and software to support data integration.

Streamline data governance, quality, and security

Support compliance and data practices while using AI technologies. A unified namespace manages data governance, quality, and security for a streamlined and effective experience.

Unified Namespace is more than just data architecture: drive operational excellence—and your competitive advantage

A unified namespace is more than just data architecture. SymphonyAI’s IRIS Foundry builds a unified namespace that strengthens the capabilities of AI systems, while simplifying enterprise-wide industrial data management.

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Discover the value of a Unified Namespace from SymphonyAI

Learn more about how a unified namespace can benefit your industrial operations.

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Unified Namespace FAQs

The team at SymphonyAI is here to answer your questions about a unified namespace. Here are some of the most common.

What is a unified namespace?

The unified namespace concept connects and contextualizes various operations and enterprise data sources into a single structure and naming convention. The purpose of a UNS is to simplify the accessibility of industrial data and provide industrial insights at scale. When developing a UNS, consider reducing manual efforts by using artificial intelligence to cleanse and normalize data, identify relationships between sources, and maintain the system with intelligent recommendations.

What does a unified namespace do?

A unified namespace reduces the barrier to adopting and scaling AI-driven operational excellence. By centralizing data and simplifying integration with open APIs, a UNS creates the backbone of industrial data needed to optimize processes and energy consumption, improve the performance of equipment and assets, empower field workers with insights, and analyze performance in real time. The value of a UNS is not the structure itself but rather the AI-driven insights that can be extracted from unified data.

How does a unified namespace work?

As a concept, the unified namespace functions by connecting and normalizing data from disparate data sources (commonly using MQTT for connectivity), creating a common structure or data model (commonly the model defined within ISA-95), and providing accessibility to this data through open APIs that allow users to access this structured and contextualized information in other sources or applications.

Who uses a unified namespace?

A UNS has two user groups. End users such as process engineers, operators, maintenance, quality, and production teams use the underlying data from the UNS for tailored use cases. Data from the UNS can be reused for many use cases and insights, such as predictive maintenance, actionable KPIs, connected workers, and real-time analysis. The other group consists of those who use the UNS to develop AI-powered insights and use cases, such as data scientists, business analysts, and data engineers.

What is the difference between ISA 95 and a unified namespace?

ISA 95 is a commonly adopted standard for integrating information from industrial control systems to the enterprise. This standard creates consistent terminology across manufacturing environments, defines how information should flow, and provides suggested data models and objects for digitally representing operations. The unified namespace concept is not a standard but rather an approach to providing a central, consistent, real-time data architecture. The UNS structure aligns with the ISA 95 common data model but favors an IIoT-driven approach for making information accessible across the organization.

What is the difference between a unified namespace and a data lake?

A unified namespace (UNS) is purpose-built for industrial operations and automation and specializes in handling high-volume and high-frequency time series and event data that can be accessed in real-time. Additionally, a UNS provides context in industrial environments by mapping data sources into a common data model that simplifies the understanding and accessibility of previously siloed data sources. A data lake prioritizes the storage of vast amounts of structured and unstructured data types but lacks the industrial specificity, connectivity, and common data model needed to build and scale industrial AI use cases. Data lakes are often a valuable information source for building a unified namespace.

What is a universal namespace?

Like a unified namespace, a universal namespace is designed to create a single, consistent naming convention. While the unified namespace (UNS) is specific to industrial environments, the universal namespace carries the same general concept that applies to other industries in the broader data management landscape.

Where can a unified namespace be implemented?

A unified namespace is primarily implemented with industrial environments. Implementation of a unified namespace benefits organizations by integrating and managing data from diverse systems and devices to improve efficiency, operations, and catalyze digital transformation.

What is the primary purpose of a unified namespace?

The primary purpose of a unified namespace is to create a single source of truth and standardized way of organizing and accessing data, organization-wide. In industrial settings, a unified namespace facilitates data integration between systems.

What are the benefits of a unified namespace?

A unified namespace simplifies data integration and improves data accessibility. It simplifies data orchestration and provides a robust and open foundation for scalable AI solutions.

Is there a difference between a unified namespace and a datalake?

A unified namespace is a centralized system that works in real-time to provide a single source of truth and point of access for data across an organization’s vast sources. It improves data accessibility and enables interoperability. On the other hand, a data lake stores large amounts of raw data long-term, in its native-format for analysis.

How does a unified namespace support data accessibility and data integration?

A unified namespace facilitates data exchange and interoperability while eliminating the need for complex data structures. A unified namespace supports data accessibility and data integration by creating a single source of truth for data that is standardized across an organization’s IT and OT systems.

How can I learn more about SymphonyAI’s unified namespace capabilities?

Click here to learn more about SymphonyAI’s unified namespace capabilities or reach out to the SymphonyAI team with your questions and for support.