VANTAA – In a significant move towards revolutionizing operational efficiency across industry, utilities, and infrastructure sectors, global leaders Pöyry (now AFRY) and Infosys have jointly introduced the Krti 4.0® Artificial Intelligence (AI) Framework for Operational Excellence. This cutting-edge framework addresses the intricate challenges of lifecycle management encountered by organizations, particularly in managing operational technology (OT) systems.

Utilizing AI, cognitive/machine learning, and Machine to Machine (M2M) capabilities, the Krti 4.0 framework promises to usher in a new era of data-driven operations in industrial environments. By identifying critical enterprise systems and assets, it offers a comprehensive understanding of their behavior, thereby unlocking new value propositions for customers. Notably, Krti 4.0 aims to significantly reduce maintenance costs, minimize operation shutdowns, and enhance reliability, employee safety, and environmental sustainability.

A collaborative effort between Pöyry and Infosys, Krti 4.0 integrates Pöyry’s RAMS (Reliability, Availability, Maintainability, Safety) methodology with Infosys’ Nia knowledge-based AI platform. This synergistic approach facilitates complex analytics and machine learning models to assess operational risks comprehensively. Moreover, Krti 4.0’s intuitive M2M interface ensures seamless connectivity with diverse OT systems, enabling pervasive and secure industrial IoT connectivity throughout the enterprise.

The framework empowers decision-makers with real-time insights into optimal operating and maintenance strategies, leveraging predictive and prescriptive analytics within acceptable risk thresholds. Additionally, Krti 4.0 addresses challenges related to asset ‘stranding’ by offering tangible solutions to accelerate Return on Capital Employed (ROCE) and unlock substantial asset value.

Richard Pinnock, President of the Energy Business Group at Pöyry, emphasized the transformative impact of Krti 4.0, stating, “Our Krti 4.0® framework using RAMS modelling methodology puts the Pareto principle’s 80/20 rule at the heart of the decision-making process. We know the criticality of each part of the asset and focus our data collection strategy and analytical predictive capabilities where it matters most.”

Nitesh Bansal, Senior Vice President and Global Head of Engineering Services at Infosys Ltd., underscored the significance of IoT services in driving efficiency and compliance. He commented, “Having this view into how products and assets operate is not just key to improving their efficiency but also to ensuring security along with legal and regulatory compliance.”

The introduction of Krti 4.0 marks a pivotal moment in the evolution of operational excellence, offering organizations a holistic approach to optimize performance, mitigate risks, and capitalize on existing assets in today’s dynamic business landscape.