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    Reviving the Tamsa: How IAS Ravindra Kumar Restored the Ancient River through Local Participation

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Energy & AI: Improving Operational Efficiency by Driving Innovation

By: Editorial Desk

by Editorial Desk
May 20, 2024
in News
Reading Time: 5 mins read
Energy & AI: Improving Operational Efficiency by Driving Innovation

Sanghamitra Pyne, Head- Information Technology, Generation, RPSG Ventures

Summarize with:

“Leveraging AI and emerging technologies in electricity generation companies can significantly improve operational efficiency , optimise workforce utilisation while driving innovation,” says Sanghamitra Pyne, Head- Information Technology, Generation, RPSG Ventures in an exclusive interview with Souvik Goswami for APAC News Network and CXO News. 

Your opinion on the changing role of IT leaders in enterprises in the digital era.

Over the past few years I have seen the emergence of disruptive digital technologies changing the role of IT leaders in enterprises significantly. IT Heads are no longer responsible for just managing technology and infrastructure, but also crucial strategic partners in driving digital transformation and innovation within the organization. They are expected to align technology decisions with business objectives, lead cross-functional teams, and drive a culture of continuous learning and secure adaptation . CIO/CTO/CDO s are now seen as key enablers of business growth and competitive advantage, and their ability to think strategically , foster collaboration and ensure Cyber Secure Business is gaining traction across Industry verticals and Geographies.

For Power Generation companies, AI & Emerging Technologies are playing an important role for operational efficiency & revenue management. How are you leveraging these new age technologies in your organisation?

Leveraging AI and emerging technologies in Electricity Generation companies can significantly improve operational efficiency , optimise workforce utilisation while driving innovation . Some initiatives include –

  • Implementing AI/ML powered predictive maintenance systems to identify potential equipment failures before they occur, minimizing downtime and optimizing maintenance schedules.
  • Utilising AI algorithms to analyse energy consumption patterns and optimise energy usage for cost savings and efficiency in Energy Management.
  • Deploying IoT sensors and AI analytics to monitor the performance of assets in real-time, enabling proactive Asset Performance Management  and maximising asset lifespan.
  • Employing AI tools for Fuel Management Processes and quality checks, Drones for visual monitoring and Physical Security measures. 
  • Utilising AI driven tools for real-time monitoring of operations and ESG parameters, identifying potential risks , and implementing strategies to mitigate them effectively.

Your take on the power of IT-OT convergence for transforming power utilities. 

In the past, power utilities primarily operated in silos, with IT managing enterprise systems like billing and customer relationship management, while OT managed the operational aspects such as grid management and equipment control. However, the rise of digitalization and use of Sensors, Internet of Things (IoT) has led to IT-OT convergence driving unprecedented transformation and efficiency.

By integrating IT systems with sensors and actuators embedded in OT devices, utilities gain real-time visibility into their infrastructure. This enables predictive maintenance, fault detection, and optimized asset utilization, ultimately improving reliability and reducing downtime. It also empowers power utilities with vast amounts of data collected from sensors, smart meters, and other devices across the grid. Advanced analytics and machine learning algorithms can process this data to derive actionable insights.

With the rise of renewable energy sources and distributed generation, IT-OT convergence plays a crucial role through Advanced analytics and control systems to optimize the management of diverse energy resources, including solar panels, wind turbines, and energy storage systems. This integration enhances grid stability and facilitates demand response programs. 

IT-OT convergence also drives innovation in customer engagement and service delivery. Smart meters and IoT-enabled devices allow utilities to offer personalized services such as real-time energy usage monitoring, customized pricing plans, and demand-side management programs.

While IT-OT convergence offers numerous benefits, it also presents challenges such as interoperability issues, cybersecurity risks, and the need for skilled personnel capable of managing integrated systems, making it mandatory for Utilities to invest in robust cybersecurity measures, data governance frameworks, and employee training programs .

Cyber security is a matter of concern now for all industries and segments, especially for the power sector as many cyber-attacks have happened in the recent past targeting power companies in India. How to tackle this and how emerging tech plays a part in this?

Ensuring robust cybersecurity measures is crucial for the power sector to protect critical infrastructure from cyber threats. By proactively addressing cybersecurity risks and leveraging emerging technologies, the power Utility is enhancing its resilience against cyber threats to safeguard critical assets from potential attacks . Important measures include –

Conducting regular cybersecurity risk assessments and vulnerability scans to identify weaknesses in the infrastructure. Emerging technologies like AI and machine learning can be used to automate threat detection and response processes.

Implementing network segmentation to isolate critical systems from external threats using technologies for secure identity management and access control.

 Utilising technologies like advanced encryption, secure communication protocols, and automated incident response tools for a comprehensive incident response plan to quickly detect, respond to, and recover from cyber-attacks.

Training employees on cybersecurity best practices and promote a culture of cybersecurity awareness within the organization through  AI-driven training modules to enhance learning and retention.

Leveraging AI-based threat intelligence platforms for real-time threat analysis and proactive defense by implementing continuous monitoring solutions to detect anomalies in network traffic and behaviour patterns. 

Do you think that time has come for all to think that the  digital transformation process has to be aligned with the company’s business strategy which needs to be internalised also by all? 

With the increasing availability of disruptive technology , aligning digital transformation with a company’s business strategy is crucial for its success. When these initiatives are integrated seamlessly with the broader strategic goals, it ensures that technology investments are not made in isolation but rather in support of the company’s objectives. This also helps in prioritizing digital initiatives effectively and companies can focus their resources on those with the most significant impact. It helps that Company CEOs and BODs are now aligned with the benefits to be reaped as early movers in  new Tech adoption.

However, clear communication of strategic objectives and how digital transformation efforts contribute to them is essential. My experience in both the Public Sector and Private Corporate sector show that when employees grasp the significance of digital initiatives and see how their contributions align with the company’s goals, they are more likely to actively engage in the adoption and implementation of digital tools and processes.

Summarize with:
Tags: AICIOCISOCXOCyber SecurityDigital TransformationEmerging technologiesEnergyEnergy & AIGenerationHead- Information TechnologyImproving Operational Efficiency by Driving InnovationIoTITMLOTPowerPower GenerationRPSG VenturesSanghamitra PyneSanghamitra Pyne Head- Information Technology Generation RPSG VenturesSanghamitra Pyne RPSG Ventures
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