Nokia announced that it will partner with Pöyry, an international consulting and engineering company, and Infosys to further enhance and accelerate the adoption of KRTI 4.0, an artificial intelligence (AI) framework for operational excellence.
The KRTI 4.0 framework applies AI, cognitive/machine learning and machine-to-machine (M2M) capabilities to the industrial environment and addresses complex and expensive lifecycle management challenges faced by industry, utilities, transportation and infrastructure organizations across operational technology (OT) systems. The applied methodology identifies critical enterprise systems and assets and provides a deep understanding of their behavior to unlock and create new value for customers by reducing system maintenance costs and expensive operation shutdowns, improving reliability and enhancing employee and environmental safety.
KRTI 4.0 uses predictive and prescriptive analytics that empowers decision makers with real-time knowledge on the best and the most effective operating and maintenance options for their OT systems, leveraging tools such as real-time dashboards, RAMS (Reliability, Availability, Maintainability, Safety) modelling capabilities, augmented reality, chatbot functionality and more enabled by highly secure and reliable connectivity.
About the Solution
- The KRTI 4.0 model-based data driven framework incorporates the Pöyry RAMS methodology, which defines the criticality of every asset contributing to the functioning of an OT system.
- Infosys' Nia knowledge-based AI platform continuously executes complex, advanced analytics and machine learning models and exchanges information with the RAMS model to identify any inherent risk in operations on the overall system.
- Nokia provides the industrial IoT connectivity and network analytics for integrating with data and devices from different OT systems, including IMPACT IoT platform, SI Suite - advanced visualization, Scene Analytics - machine learning video analytics, dedicated wireless networks based on LTE and 5G along with its Worldwide IoT Network Grid (WING) offering - sold in conjunction with mobile network operators - which supports dedicated IoT operations, billing, security, data analytics, and more. This data can then flow into the Nia system for the execution of forecasting models.