Unlocking Industrial Data with HighByte

Unlocking Industrial Data with HighByte

Unlocking Industrial Data with HighByte: Connecting PAS-X MES and AVEVA PI for Scalable Data Architectures

As industrial organisations continue to invest in digital transformation, one of the most common challenges remains the same: how to structure, contextualise and deliver data across multiple systems in a consistent and scalable way.

 

In life sciences and pharmaceutical manufacturing, this challenge is even more complex. Data must move between systems such as MES, historians and analytics platforms while maintaining integrity, traceability and compliance.

This is where HighByte plays a critical role.

 

What is HighByte?

HighByte provides an Industrial DataOps platform designed to model, structure and deliver industrial data in a way that makes it usable across modern digital systems.

 

Rather than simply moving data from one system to another, HighByte focuses on contextualisation. It allows organisations to take raw operational data and organise it into meaningful, structured models aligned with assets, processes and ISA-95 hierarchies.

 

This structured approach enables data to be consumed more effectively by downstream systems such as analytics platforms, dashboards, cloud environments and AI applications.

 

Why HighByte Matters for Industrial Data

Many organisations operate with fragmented data landscapes. MES systems, historians, PLCs and enterprise platforms often operate in silos, making it difficult to extract consistent, trusted insights.

HighByte addresses this by acting as a central layer that:

  • Connects to multiple industrial data sources
  • Structures and models data into a consistent format
  • Publishes data to various destinations, including MQTT, APIs and cloud platforms
  • Reduces the need for complex point-to-point integrations

The result is a more scalable, flexible and maintainable data architecture.

 

Réalta Technologies and HighByte

Réalta Technologies is proud to partner with HighByte, bringing together our expertise in automation, data historians, analytics and digital infrastructure with HighByte’s Industrial DataOps capabilities.

 

For our clients, this partnership means access to a more structured and scalable approach to industrial data, supporting initiatives such as Unified Namespace, advanced analytics and AI readiness.

 

Connecting HighByte to PAS-X MES

One of the most valuable applications of HighByte in life sciences is its ability to integrate with MES platforms such as Werum PAS-X, not just for data extraction, but for real-time, bidirectional data exchange.

 

PAS-X is a critical system in pharmaceutical manufacturing, managing electronic batch records, workflows and production execution. While it contains valuable operational data, integrating PAS-X with other systems in a scalable and consistent way can be challenging, particularly where native connectivity is limited.

 

Réalta Technologies addresses this through the combination of the PAS-X MSI interface and HighByte’s capabilities.

Using the PAS-X MSI interface alongside the REST server functionality within HighByte, we enable a structured and flexible method of information interchange. This approach allows organisations not only to read data from PAS-X, but also to write data back into the MES in real time.

 

In practice, HighByte acts as a central integration layer between PAS-X and other systems such as AVEVA PI, SAP, Maximo and other enterprise or analytics platforms.

 

HighByte models and contextualises this data before delivering it to PAS-X in a consistent and structured format. This ensures that MES data is enriched with relevant operational and business context, improving visibility and enabling more informed decision-making at the point of execution.

 

This bidirectional capability is particularly valuable where systems need to interact with MES in real time, without relying on complex custom integrations. It allows PAS-X to operate as part of a connected digital ecosystem rather than as a standalone system.

 

 

Exposing AVEVA PI Data via MQTT

In addition to MES integration, HighByte plays a key role in enabling modern data architectures through its ability to expose data via MQTT.

AVEVA PI systems are widely used as the backbone of industrial data collection, providing high-resolution, time-series data from across manufacturing operations. However, traditional architectures often rely on point-to-point integrations or batch data transfers.

 

By connecting to AVEVA PI, HighByte can ingest time-series data, contextualise it and publish it in real time via MQTT. This enables the implementation of a Unified Namespace, where data is structured and made available across the organisation in a consistent and scalable way.

 

This approach allows multiple systems, including analytics platforms, cloud environments and AI tools, to consume the same structured data without additional integration complexity.

 

Enabling a Unified, Scalable Data Architecture

When combined, HighByte, PAS-X and AVEVA PI form a strong, modern data architecture.

PAS-X provides structured production and batch data. AVEVA PI provides time-series operational data. HighByte contextualises and distributes this data across systems.

Together, they enable:

  • Unified Namespace implementation
  • Real-time data sharing across systems
  • Advanced analytics and reporting
  • AI and machine learning applications
  • Reduced integration complexity

This architecture replaces fragmented integrations with a more standardised and scalable approach.

 

The Benefits for Life Sciences and Manufacturing

For organisations operating in regulated environments, this approach delivers several key benefits:

  • Improved data accessibility across systems
  • Reduced integration complexity
  • Stronger data consistency and governance
  • Faster time to insight
  • A scalable foundation for future digital initiatives

Most importantly, it enables organisations to move from fragmented data to a connected, usable and valuable data environment.

 

Conclusion: Turning Data into a Strategic Asset

Industrial data has the potential to drive significant improvements in efficiency, quality and operational performance. However, unlocking that value requires more than just collecting data. It requires structure, context and the ability to move data seamlessly between systems.

HighByte provides a powerful way to achieve this, particularly when integrated with PAS-X and AVEVA PI.

 

At Réalta Technologies, we help organisations design and implement these architectures in a way that is practical, scalable and aligned with regulatory expectations.

 

If you are looking to integrate your MES and historian systems, enable real-time data exchange or build a scalable foundation for analytics and AI, speak to our team today.

 

📧 [email protected]

💻 https://realtatechnologies.com

📞 IRL: +353 21 243 9113 | US: +1 302 509 4401



Unlocking Industrial Data with HighByte

Unlocking Industrial Data with HighByte

Unlocking Industrial Data with HighByte: Connecting PAS-X MES and AVEVA PI for Scalable Data Architectures

As industrial organisations continue to invest in digital transformation, one of the most common challenges remains the same: how to structure, contextualise and deliver data across multiple systems in a consistent and scalable way.

 

In life sciences and pharmaceutical manufacturing, this challenge is even more complex. Data must move between systems such as MES, historians and analytics platforms while maintaining integrity, traceability and compliance.

This is where HighByte plays a critical role.

 

What is HighByte?

HighByte provides an Industrial DataOps platform designed to model, structure and deliver industrial data in a way that makes it usable across modern digital systems.

 

Rather than simply moving data from one system to another, HighByte focuses on contextualisation. It allows organisations to take raw operational data and organise it into meaningful, structured models aligned with assets, processes and ISA-95 hierarchies.

 

This structured approach enables data to be consumed more effectively by downstream systems such as analytics platforms, dashboards, cloud environments and AI applications.

 

Why HighByte Matters for Industrial Data

Many organisations operate with fragmented data landscapes. MES systems, historians, PLCs and enterprise platforms often operate in silos, making it difficult to extract consistent, trusted insights.

HighByte addresses this by acting as a central layer that:

  • Connects to multiple industrial data sources
  • Structures and models data into a consistent format
  • Publishes data to various destinations, including MQTT, APIs and cloud platforms
  • Reduces the need for complex point-to-point integrations

The result is a more scalable, flexible and maintainable data architecture.

 

Réalta Technologies and HighByte

Réalta Technologies is proud to partner with HighByte, bringing together our expertise in automation, data historians, analytics and digital infrastructure with HighByte’s Industrial DataOps capabilities.

 

For our clients, this partnership means access to a more structured and scalable approach to industrial data, supporting initiatives such as Unified Namespace, advanced analytics and AI readiness.

 

Connecting HighByte to PAS-X MES

One of the most valuable applications of HighByte in life sciences is its ability to integrate with MES platforms such as Werum PAS-X, not just for data extraction, but for real-time, bidirectional data exchange.

 

PAS-X is a critical system in pharmaceutical manufacturing, managing electronic batch records, workflows and production execution. While it contains valuable operational data, integrating PAS-X with other systems in a scalable and consistent way can be challenging, particularly where native connectivity is limited.

 

Réalta Technologies addresses this through the combination of the PAS-X MSI interface and HighByte’s capabilities.

Using the PAS-X MSI interface alongside the REST server functionality within HighByte, we enable a structured and flexible method of information interchange. This approach allows organisations not only to read data from PAS-X, but also to write data back into the MES in real time.

 

In practice, HighByte acts as a central integration layer between PAS-X and other systems such as AVEVA PI, SAP, Maximo and other enterprise or analytics platforms.

 

HighByte models and contextualises this data before delivering it to PAS-X in a consistent and structured format. This ensures that MES data is enriched with relevant operational and business context, improving visibility and enabling more informed decision-making at the point of execution.

 

This bidirectional capability is particularly valuable where systems need to interact with MES in real time, without relying on complex custom integrations. It allows PAS-X to operate as part of a connected digital ecosystem rather than as a standalone system.

 

 

Exposing AVEVA PI Data via MQTT

In addition to MES integration, HighByte plays a key role in enabling modern data architectures through its ability to expose data via MQTT.

AVEVA PI systems are widely used as the backbone of industrial data collection, providing high-resolution, time-series data from across manufacturing operations. However, traditional architectures often rely on point-to-point integrations or batch data transfers.

 

By connecting to AVEVA PI, HighByte can ingest time-series data, contextualise it and publish it in real time via MQTT. This enables the implementation of a Unified Namespace, where data is structured and made available across the organisation in a consistent and scalable way.

 

This approach allows multiple systems, including analytics platforms, cloud environments and AI tools, to consume the same structured data without additional integration complexity.

 

Enabling a Unified, Scalable Data Architecture

When combined, HighByte, PAS-X and AVEVA PI form a strong, modern data architecture.

PAS-X provides structured production and batch data. AVEVA PI provides time-series operational data. HighByte contextualises and distributes this data across systems.

Together, they enable:

  • Unified Namespace implementation
  • Real-time data sharing across systems
  • Advanced analytics and reporting
  • AI and machine learning applications
  • Reduced integration complexity

This architecture replaces fragmented integrations with a more standardised and scalable approach.

 

The Benefits for Life Sciences and Manufacturing

For organisations operating in regulated environments, this approach delivers several key benefits:

  • Improved data accessibility across systems
  • Reduced integration complexity
  • Stronger data consistency and governance
  • Faster time to insight
  • A scalable foundation for future digital initiatives

Most importantly, it enables organisations to move from fragmented data to a connected, usable and valuable data environment.

 

Conclusion: Turning Data into a Strategic Asset

Industrial data has the potential to drive significant improvements in efficiency, quality and operational performance. However, unlocking that value requires more than just collecting data. It requires structure, context and the ability to move data seamlessly between systems.

HighByte provides a powerful way to achieve this, particularly when integrated with PAS-X and AVEVA PI.

 

At Réalta Technologies, we help organisations design and implement these architectures in a way that is practical, scalable and aligned with regulatory expectations.

 

If you are looking to integrate your MES and historian systems, enable real-time data exchange or build a scalable foundation for analytics and AI, speak to our team today.

 

📧 [email protected]

💻 https://realtatechnologies.com

📞 IRL: +353 21 243 9113 | US: +1 302 509 4401



Unlocking Industrial Data with HighByte

Unlocking Industrial Data with HighByte Read More »

Unified Namespace (UNS)

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

Introduction

The life sciences and manufacturing industries are facing a common challenge: an overwhelming amount of data scattered across siloed systems, departments, and technologies. Whether it’s sensor readings from the production floor, batch records from MES systems, or operational insights from enterprise platforms, the information exists, but accessing it in a meaningful, unified way is often difficult.

 

This is where the concept of a Unified Namespace (UNS) comes in. While the term has gained visibility in recent years, the core principles behind UNS have existed for decades, with MQTT (Message Queuing Telemetry Transport) being the latest version. As digital transformation continues to shape regulated manufacturing, UNS is fast becoming the backbone of modern industrial data architecture, enabling real-time visibility, simplifying integration, and supporting data-driven decision-making.

Unified Namespace (UNS)

What Is a Unified Namespace?

A Unified Namespace (UNS) is a structured, centralised data layer that brings together real-time information from across an entire organisation  from machines and automation systems on the plant floor to business-level applications in the cloud. It acts as the single source of truth for industrial data, organised in a hierarchical format that mirrors the physical or logical structure of the business.


Unlike traditional architectures that rely on point-to-point integrations or static data lakes, a UNS operates in real-time using event-driven communication. When a change happens on the shop floor, that update is immediately reflected across all connected systems, users, and applications that subscribe to it.


Importantly, the UNS does not store data, it is a live data layer. It acts as the medium through which systems communicate, with data either passed on directly or sent to platforms that handle storage, such as historians or cloud-based analytics systems.


How a Unified Namespace Works

At the core of a UNS is a publish-subscribe model. Instead of pulling data from each system individually, each data source (e.g., a PLC or historian) publishes updates to a central broker. Any authorised system or user can then subscribe to the topics they need, ensuring they always have access to the most current information.


Common protocols used in a UNS include MQTT (Message Queuing Telemetry Transport). MQTT is the most up to date version the most commonly used protocol for implementing a UNS. It is lightweight, efficient, and designed for high-frequency data transmission. Paired with the Sparkplug B specification, MQTT can also handle structured payloads, device state tracking, and session awareness — making it ideal for industrial environments.


The data is typically organised in a logical hierarchy such as:
Enterprise > Site > Area > Line > Machine > Tag


This makes the data not only accessible but easily understandable to humans and machines alike.


Why UNS Matters in Life Sciences and Manufacturing

For life sciences and manufacturing companies, a UNS delivers clear advantages, particularly in environments where traceability, compliance, and timely decision-making are essential.


First, it eliminates data silos, bridging the gap between Operational Technology (OT) and Information Technology (IT). This allows manufacturing, quality, compliance, and business teams to work from a shared, real-time source of data.


Second, it improves data integrity and auditability, crucial in meeting GxP regulations and standards like 21 CFR Part 11 and Annex 11. With time-stamped, structured, and traceable records, regulatory inspections and investigations become far more manageable.


Third, a UNS empowers faster and more accurate decision-making by making the right data available to the right people, in the right format, at the right time, without manual intervention or custom integrations.


Technologies Commonly Used in a UNS

A number of platforms and tools can be used to implement a UNS. These typically fall into three categories: brokers, integration platforms, and data consumers.

 

MQTT Brokers

These act as the central hub where data is published and subscribed to. Popular options include:

  • HiveMQ – A high-performance MQTT broker with robust security and enterprise-grade reliability.
  • Cybus – Designed for industrial environments, Cybus Connectware offers data governance, role-based access control, and secure connectivity.
  • Ignition MQTT Engine (by Inductive Automation) – Frequently used in conjunction with Ignition SCADA, offering full support for Sparkplug B.
MQTT Data Integration Platforms

These platforms help bridge operational systems and higher-level applications, enriching and transforming data as it moves through the UNS.

  • HighByte Intelligence Hub – A powerful industrial data operations platform designed to model, integrate, and flow data in real time between OT and IT systems, supporting both UNS and broader data strategies.
Data Consumers

The UNS itself doesn’t store data — so it must work in tandem with systems that do. This includes:

  • Data historians (like AVEVA PI, Canary, or GE Proficy)
  • Analytics platforms (Power BI, Tableau, cloud services like Azure and AWS)
  • MES, SCADA, and ERP systems that rely on real-time data to manage operations

At Réalta Technologies, we design and implement Unified Namespace architectures using these platforms and more, based on the specific needs, infrastructure, and compliance requirements of each client.


As a newly appointed AVEVA Endorsed System Integrator, Réalta Technologies brings deep expertise in building UNS architectures that are not only technically robust but validated and scalable for regulated environments.

 

The Role of the Data Historian in a Unified Namespace

Although a UNS is not responsible for storing data, data historians play a critical role within this architecture.

A historian provides the long-term storage, analysis, and visualisation capabilities that the UNS layer alone cannot deliver. It collects time-stamped process data from the UNS (or directly from devices), enabling:

  • Batch review and traceability
  • Deviation investigations
  • Regulatory audit readiness
  • Trend analysis and predictive modelling

Platforms like AVEVA PI System, Canary, and GE Proficy Historian are often integrated with UNS architectures to provide robust historical records that complement the UNS’s real-time capabilities.


At Réalta Technologies, we work across these historian platforms, ensuring seamless integration with the UNS and alignment with compliance frameworks in GMP-regulated environments.

 

Key Benefits of Implementing a UNS

Implementing a UNS delivers measurable benefits, including:

  • Real-time, unified access to plant and enterprise data, improving cross-functional collaboration
  • Faster deployment of analytics and machine learning models, as data is structured and accessible
  • Streamlined integration between legacy equipment, modern platforms, and cloud tools
  • Greater agility and scalability, with an architecture that grows with the business
  • Stronger compliance through centralised audit trails and event logging

For companies working in life sciences or regulated manufacturing, the benefits are amplified. Unified access to clean, structured data can dramatically reduce batch review times, improve deviation investigations, and support continuous improvement initiatives, all while maintaining compliance.

 

Considerations for Getting Started

Before implementing a Unified Namespace, companies should consider a few key factors:

  • Current system landscape: Are your automation and IT systems capable of publishing and subscribing to real-time data?
  • Data governance: Who needs access to what data, and what controls are needed?
  • Validation requirements: How will the UNS be documented, qualified, and maintained to meet compliance standards?
  • Scalability: Can the architecture support multiple sites, product lines, or business units?
  • Partner support: Do you have access to integration specialists with experience in building secure, validated UNS environments?

At Réalta Technologies, we offer support from design through deployment, including validation documentation, user training, and long-term managed services.

 

Conclusion

A Unified Namespace is more than a technology trend, it’s a strategic foundation for the future of digital manufacturing. In the life sciences and manufacturing sectors, where the balance between agility, compliance, and performance is critical, a UNS offers a way to unify your data landscape and unlock new value from your systems.

 

By bringing together MQTT brokers, integration platforms like HighByte, and complementary systems like AVEVA PI, a UNS allows organisations to connect their data, and their teams, in a more intelligent way.

 

If you’re considering a Unified Namespace (UNS) or want to explore how it could support your digital strategy, we’re here to help.

Phone: +353 21 243 9113

Email: [email protected]

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing

Introduction

The life sciences and manufacturing industries are facing a common challenge: an overwhelming amount of data scattered across siloed systems, departments, and technologies. Whether it’s sensor readings from the production floor, batch records from MES systems, or operational insights from enterprise platforms, the information exists, but accessing it in a meaningful, unified way is often difficult.

 

This is where the concept of a Unified Namespace (UNS) comes in. While the term has gained visibility in recent years, the core principles behind UNS have existed for decades, with MQTT (Message Queuing Telemetry Transport) being the latest version. As digital transformation continues to shape regulated manufacturing, UNS is fast becoming the backbone of modern industrial data architecture, enabling real-time visibility, simplifying integration, and supporting data-driven decision-making.

Unified Namespace (UNS)

What Is a Unified Namespace?

A Unified Namespace (UNS) is a structured, centralised data layer that brings together real-time information from across an entire organisation  from machines and automation systems on the plant floor to business-level applications in the cloud. It acts as the single source of truth for industrial data, organised in a hierarchical format that mirrors the physical or logical structure of the business.


Unlike traditional architectures that rely on point-to-point integrations or static data lakes, a UNS operates in real-time using event-driven communication. When a change happens on the shop floor, that update is immediately reflected across all connected systems, users, and applications that subscribe to it.


Importantly, the UNS does not store data, it is a live data layer. It acts as the medium through which systems communicate, with data either passed on directly or sent to platforms that handle storage, such as historians or cloud-based analytics systems.


How a Unified Namespace Works

At the core of a UNS is a publish-subscribe model. Instead of pulling data from each system individually, each data source (e.g., a PLC or historian) publishes updates to a central broker. Any authorised system or user can then subscribe to the topics they need, ensuring they always have access to the most current information.


Common protocols used in a UNS include MQTT (Message Queuing Telemetry Transport). MQTT is the most up to date version the most commonly used protocol for implementing a UNS. It is lightweight, efficient, and designed for high-frequency data transmission. Paired with the Sparkplug B specification, MQTT can also handle structured payloads, device state tracking, and session awareness — making it ideal for industrial environments.


The data is typically organised in a logical hierarchy such as:
Enterprise > Site > Area > Line > Machine > Tag


This makes the data not only accessible but easily understandable to humans and machines alike.


Why UNS Matters in Life Sciences and Manufacturing

For life sciences and manufacturing companies, a UNS delivers clear advantages, particularly in environments where traceability, compliance, and timely decision-making are essential.


First, it eliminates data silos, bridging the gap between Operational Technology (OT) and Information Technology (IT). This allows manufacturing, quality, compliance, and business teams to work from a shared, real-time source of data.


Second, it improves data integrity and auditability, crucial in meeting GxP regulations and standards like 21 CFR Part 11 and Annex 11. With time-stamped, structured, and traceable records, regulatory inspections and investigations become far more manageable.


Third, a UNS empowers faster and more accurate decision-making by making the right data available to the right people, in the right format, at the right time, without manual intervention or custom integrations.


Technologies Commonly Used in a UNS

A number of platforms and tools can be used to implement a UNS. These typically fall into three categories: brokers, integration platforms, and data consumers.

 

MQTT Brokers

These act as the central hub where data is published and subscribed to. Popular options include:

  • HiveMQ – A high-performance MQTT broker with robust security and enterprise-grade reliability.
  • Cybus – Designed for industrial environments, Cybus Connectware offers data governance, role-based access control, and secure connectivity.
  • Ignition MQTT Engine (by Inductive Automation) – Frequently used in conjunction with Ignition SCADA, offering full support for Sparkplug B.
MQTT Data Integration Platforms

These platforms help bridge operational systems and higher-level applications, enriching and transforming data as it moves through the UNS.

  • HighByte Intelligence Hub – A powerful industrial data operations platform designed to model, integrate, and flow data in real time between OT and IT systems, supporting both UNS and broader data strategies.
Data Consumers

The UNS itself doesn’t store data — so it must work in tandem with systems that do. This includes:

  • Data historians (like AVEVA PI, Canary, or GE Proficy)
  • Analytics platforms (Power BI, Tableau, cloud services like Azure and AWS)
  • MES, SCADA, and ERP systems that rely on real-time data to manage operations

At Réalta Technologies, we design and implement Unified Namespace architectures using these platforms and more, based on the specific needs, infrastructure, and compliance requirements of each client.


As a newly appointed AVEVA Endorsed System Integrator, Réalta Technologies brings deep expertise in building UNS architectures that are not only technically robust but validated and scalable for regulated environments.

 

The Role of the Data Historian in a Unified Namespace

Although a UNS is not responsible for storing data, data historians play a critical role within this architecture.

A historian provides the long-term storage, analysis, and visualisation capabilities that the UNS layer alone cannot deliver. It collects time-stamped process data from the UNS (or directly from devices), enabling:

  • Batch review and traceability
  • Deviation investigations
  • Regulatory audit readiness
  • Trend analysis and predictive modelling

Platforms like AVEVA PI System, Canary, and GE Proficy Historian are often integrated with UNS architectures to provide robust historical records that complement the UNS’s real-time capabilities.


At Réalta Technologies, we work across these historian platforms, ensuring seamless integration with the UNS and alignment with compliance frameworks in GMP-regulated environments.

 

Key Benefits of Implementing a UNS

Implementing a UNS delivers measurable benefits, including:

  • Real-time, unified access to plant and enterprise data, improving cross-functional collaboration
  • Faster deployment of analytics and machine learning models, as data is structured and accessible
  • Streamlined integration between legacy equipment, modern platforms, and cloud tools
  • Greater agility and scalability, with an architecture that grows with the business
  • Stronger compliance through centralised audit trails and event logging

For companies working in life sciences or regulated manufacturing, the benefits are amplified. Unified access to clean, structured data can dramatically reduce batch review times, improve deviation investigations, and support continuous improvement initiatives, all while maintaining compliance.

 

Considerations for Getting Started

Before implementing a Unified Namespace, companies should consider a few key factors:

  • Current system landscape: Are your automation and IT systems capable of publishing and subscribing to real-time data?
  • Data governance: Who needs access to what data, and what controls are needed?
  • Validation requirements: How will the UNS be documented, qualified, and maintained to meet compliance standards?
  • Scalability: Can the architecture support multiple sites, product lines, or business units?
  • Partner support: Do you have access to integration specialists with experience in building secure, validated UNS environments?

At Réalta Technologies, we offer support from design through deployment, including validation documentation, user training, and long-term managed services.

 

Conclusion

A Unified Namespace is more than a technology trend, it’s a strategic foundation for the future of digital manufacturing. In the life sciences and manufacturing sectors, where the balance between agility, compliance, and performance is critical, a UNS offers a way to unify your data landscape and unlock new value from your systems.

 

By bringing together MQTT brokers, integration platforms like HighByte, and complementary systems like AVEVA PI, a UNS allows organisations to connect their data, and their teams, in a more intelligent way.

 

If you’re considering a Unified Namespace (UNS) or want to explore how it could support your digital strategy, we’re here to help.

Phone: +353 21 243 9113

Email: [email protected]

What Is a Unified Namespace (UNS)? A Guide for Life Sciences and Manufacturing Read More »