Today’s business operations have access to vast amounts of data that provide insight into various mission-critical processes and broader business operations. Companies have been using IoT technology for several years now to gain greater visibility into their operations. But why are companies struggling to leverage IoT sensor data, and how can this problem be addressed?
Issues in using IoT data
Enterprises typically feed sensor data acquired by IoT devices into a variety of existing enterprise applications. This is the first challenge: none of these applications are designed to make the most of this data. While IoT data can power a variety of business applications, every enterprise uses this data differently. To achieve this, they need the flexibility to customize applications to make the most of the insights that can be gained from IoT-based sensor data.
The second challenge is that companies often lack the expertise to analyze, interpret, and act on this data. Basic analytics can be applied to understand the current state of assets moving through a factory or supply chain, for example. But what if this IoT data could be fed into an AI-based platform to more accurately predict future outcomes or conditions? AI-enabled IoT sensor data has immense potential: it can drive predictive maintenance processes, optimize logistics networks and inventory management systems, and open up new possibilities for business optimization.
AI-enabled IoT provides business intelligence and accelerates strategic decision-making
Combining AI and IoT will enable businesses to innovate like never before. OpenText’s Release 24.3 includes new capabilities that address these challenges and enable this innovation. In Release 24.2, we introduced the new Aviator IoT Platform, which provided a foundational layer that enabled businesses to aggregate and orchestrate IoT sensor data flows onto a common platform. In the 24.3 release, we build on that innovation with several key enhancements to the Aviator IoT Platform:
The easy-to-use custom application builder makes IoT sensor data easily accessible to any user across the enterprise. Users can quickly build customized applications to make the most of the sensor data coming from connected devices. New drag-and-drop capabilities allow organizations to customize perspectives for internal and external users. Integration with the OpenText Magellan Business Intelligence as a Service (MBIRaaS) platform delivers powerful insights from IoT sensor data. This integration allows data to be analyzed quickly, and comprehensive AI-based reporting and data visualization tools make data interpretation much faster, resulting in significant time savings in downstream processes. This means teams can focus on strategic decision-making instead of spending hours on data analysis. The introduction of prepackaged, ready-to-use applications accelerates the adoption of IoT sensor data and enables businesses to leverage it in a variety of ways. Combined with the capabilities of the customer application builder, businesses can monitor the end-to-end digital twin of any physical asset.
Planning the Future of Innovation: A Path to Next-Generation Technology for Your Organization
Complementing OpenText Business Network’s current industry-leading supply chain and product traceability solutions, these Aviator IoT innovations provide the foundation for future business integration innovations from OpenText, a leader in information management, unlocking exciting possibilities for the future of business integration.
Stay tuned for exciting innovations from OpenText Aviator IoT as we prepare for OpenText World North America, taking place November 18-21 in Las Vegas. Aviator IoT isn’t the only innovation coming soon – learn about other exciting innovations in the CE 24.3 release for Business Network here:
