Krti 4.0™

The Next Generation AI Platform for Operational Excellence

A ‘single pane of glass’ providing complete intelligent learning based insights from your smart ‘connected plant’ assets anywhere in the world. Manage your enterprise-wide asset management challenges, harness the Industry 4.0 revolution.

On 14 March 2019, Nokia announced that it will partner with Pöyry, an international consulting and engineering company, and Infosys, a global leader in next-generation digital services and consulting, 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.

Krti 4.0 combines the unique strengths of Infosys, Nokia and Pöyry

  • 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 leaning models and exchanges information with the RAMS model to identify any inherent risk in operations on the overall system.
  • Nokia provides the pervasive, secure 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.

Krti 4.0 arms decision makers with real-time knowledge on the best and the most effective operating and maintenance options for their OT systems. Krti 4.0 achieves this by using predictive and prescriptive analytics within acceptable risk levels.

For Industries confronting the problem of asset ‘stranding’ due either to technology obsolesce or to new regulatory regimes, Krti 4.0 provides real options to accelerate Return on Capital Employed (ROCE) and un-strand substantial asset value.

‘Smart Hands’ make smart decisions throughout the organisation

Krti 4.0 enables a proactive way of thinking, empowering people at all levels of an organisation to make smart decisions. At the highest level, through Krti 4.0’s real-time dashboards, decision-makers have in-depth intelligence about their assets globally across the enterprise. For plant managers, Krti 4.0’s RAMS modelling capabilities allow for scenario building, enabling the continuous operational improvement of the systems. For maintenance technicians Krti 4.0’s augmented reality and chatbot functionality minimizes repair times.   

Further Information on Krti 4.0™

Related Pöyry Insights into Operational Excellence in the Energy Industry

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