Under the patronage of
Organised by
Wednesday, 28 January 2026
10:00 - 11:30

Overview

Against the backdrop of India’s ambitious energy infrastructure build-out and transition roadmap, efficient and agile project management has become essential to meet time-bound deliverables, ensure cost efficiency and minimise implementation risks. This session will focus on leveraging Artificial Intelligence (AI), data analytics and digital platforms to strengthen project monitoring, decision-making and issue resolution across energy projects.

As the nodal division for project monitoring and energy transition in the Ministry of Petroleum and Natural Gas (MoPNG), the Economic & Statistics (E&S) Division has pioneered milestone-based digital tracking mechanisms, such as the Pariyojana portal, to improve project transparency and accountability. Building on this digital foundation, the session will explore how AI and real-time data tools can further empower project managers, PSUs and decision-makers.

The E&S Division will discuss the following:

1. Project management: the role of AI, data and digital dashboards: Use of analytics for progress tracking, delay prediction and performance benchmarking

2. Pariyojana Portal and future enhancements: How milestone-based monitoring is being scaled and digitised

3.  Real-time issue identification and resolution frameworks: Leveraging integrated dashboards for bottleneck detection and inter-ministerial follow-up

4. Green sector projects

Wednesday, 28 January 2026

10:00 -10:05

Introduction

10:05 -10:20

Opening remarks by DDG, MoPNG

Overview of MoPNG's project monitoring framework, use of data tools and future AI integration plans. Includes a short presentation on the Pariyojana Portal and issue resolution. 

10:20 -11:10

Panel Discussion

  • Technology-driven project delivery
  • Discussion on the digital tools, platforms and AI-based solutions being used to improve planning, execution and monitoring of large-scale energy infrastructure projects
  • Predictive analytics for delay and risk management
  • Exploring how data models and machine learning are being applied to anticipate project delays, cost overruns and supply chain disruptions to enable proactive mitigation strategies
  • Insights from key projects in Oil & Gas and biofuels
  • Institutional enablers for data-driven decision making
  • Role of government agencies, PSUs and financial institutions in promoting the adoption of analytics, dashboards and digital governance for more transparent and accountable project management

     

11:10 -11:20

Audience Q&A session

11:20 -11:30

Conclusion and Closing Remarks

Chairperson will summarise key takeaways from the session.