Leading global corporations Pöyry and Infosys today announced the release of KRTI 4.0® Artificial Intelligence (AI) Framework for Operational Excellence. The framework overcomes some complex and expensive lifecycle management challenges faced by industry, utilities and infrastructure organizations across operational technology (OT) systems.
The Krti 4.0 model based data driven framework applies AI, cognitive/machine learning and Machine to Machine (M2M) capabilities to the industrial environment. The applied methodology identifies critical enterprise systems and assets and provides a deeper understanding of their behavior to unlock and create new value for customers. Krti 4.0 is designed to dramatically reduce system maintenance costs and expensive operation shutdowns, and improve reliability, employee and environmental safety.
The Krti 4.0 model based data driven framework incorporates the Pöyry RAMS (Reliability, Availability, Maintainability, Safety) methodology, which defines the criticality of every asset contributing to the functioning of a OT systems. Infosys’ Nia knowledge-based AI platform continuously executes complex, advanced analytics and machine learning models, exchanging information with the RAMS model to identify any inherent risk in operations of the overall system. Krti 4.0’s open and intuitive machine-to-machine (M2M) interface provides for seamlessly connecting with different OT systems for collecting data. Krti 4.0 makes pervasive and secure industrial IoT connectivity real across all levels on the enterprise.
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.
“Our Krti 4.0 framework using RAMS modeling 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. In Krti 4.0 real-time data from critical assets is converted to information with innovative computing and business intelligent algorithms enabling proactive prescriptive decision making. This is the difference,” says Richard Pinnock, President, Energy Business Group at Pöyry
“In today’s highly competitive and digital world, our clients need to leverage their existing assets to create tangible ROI within a short period of time. Our IoT services are focused on impacting both their top line and bottom line, leveraging our capabilities to remote-monitor products and assets, prevent breakdowns, and analyse data to optimize performance across the entire production system. 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” says Nitesh Bansal, Senior Vice President and Global Head of Engineering Services, Infosys Ltd.
