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IoT Data Integration

Build your strategic advantage through IoT data integration, analysis, and immediate use applying AI models. Enhance your operational capabilities and drive organizational innovation in research and development, manufacturing processes, supply chain management, and real-time customer interaction. 
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How to streamline IoT data access for better decisions?

Our approach gives comprehensive insight into operational IoT data so organizations can make more informed and quicker decisions, leveraging previously siloed or unavailable knowledge. We streamline access to IoT data, reducing the time and effort required to gather and analyze vast amounts of information and increasing operational efficiency across the board. By applying the Unified Namespace philosophy, we create a central event repository backed with real-time communication backbone across an organization's suite of devices and systems at remote sites and enterprise level. We break data silos, supporting collaboration across departments and teams and providing common understanding and access to data. Using machine learning and artificial intelligence, we uncover deep insights from the vast amounts of data generated by IoT devices, driving innovation and fueling business growth. We implement our solution using event brokers that support MQTT and Kafka protocols, along with data-ops platforms from Azure, AWS, and other leading providers.

Synergistic interoperability

A Unified Namespace breaks down data silos to support collaboration across remote sites and Enterprise level, ensuring shared understanding and access to data.

Accurate decision making

Immediate and comprehensive insight into operational data, available on demand like never before, allows organizations to make more informed and accurate decisions. AI models may be applied at scale.

Flexibility and innovation

Quickly adapt through innovation to the changing business environment by easily adding and integrating new technologies, accessing data in real time, and proactively responding to change.

Increased productivity

The significantly shorter time and much less effort required for organizations to analyze information from IoT and other sources, supported by artificial intelligence to aid inference, increases operational efficiency across the board.

For years, we have been dealing with two different worlds: IT systems and OT machines. Today, thanks to the development of cloud technologies, edge computing, and the massive use of the IoT philosophy, we can combine these worlds into one cohesive body.Using Unified Namespace, we are pursuing a strategic approach to data management and integration, offering significant benefits in terms of interoperability, efficiency, and decision-making. For data-centric organizations, especially those operating in the industrial and IoT domains, adopting Unified Namespace can be a breakthrough, enabling them to use data resources more efficiently and drive innovation.Our years of experience integrating real-time data from various sources, such as devices, enterprise databases, cloud services, and third-party APIs, allow our customers to minimize production losses, increase supply chain efficiency and reliability, and build previously unavailable new business models.

Overview

IoT systems gather data from sensors embedded in connected devices, but that information is useless without proper data management. Our approach to integrating data from IoT devices ensures you get the most out of their seamless connectivity, with real-time data integration and optimized data flow making it easy to analyze streaming data as it’s captured. By using integrated systems and application programming interfaces (APIs), you can analyze data in real-time to make quicker, more informed decisions. Proper integration of IoT data is essential for any digital transformation initiative, and with it you can unlock valuable insights, identify bottlenecks, improve operational efficiency, and drive innovation across the enterprise.

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