Venky Sankaran

Staff Data manager - HSE&C, Sustainability & Low Carbon Energy BP

Venky is a dynamic business consultant with global experience in delivering practical and powerful solutions enabling businesses to work smarter. He is experienced in Oil & Gas and Information Technology programs such-as driving Minimum Viable Products (MVP) through a digital factory and leveraging agile lean development approaches to innovate, cost-effective executable solutions that expand market growth in tough economic conditions by focusing on customer needs, identifying target markets for growth and aligning teams for business transformation. Venky is an enthusiastic leader who consistently meets commitments with integrity. Ares of expertise include:

★ O&G Upstream E&P Strategy, Operations, and M & A

★ O&G Midstream O2C, Supply Chain

★ Digital Factories

★ Azure DevOps

★ Minimum Viable Product Development (MVP)

★ IT SaaS Implementations

★ Corporate Governance

★ Agile Scrum Master & Program Mgt.

★ ISO 9001:2015 Quality Management Standard

Agenda Day 2 - October 9, 2025

11:55 AM (5:55PM CET) Leveraging AI to Measure, Track and Reduce Scope Emissions From Scope 1 - 3

While many companies have made progress in addressing Scope 1 and 2 emissions, challenges remain in streamlining data collection and reporting. Venturing into Scope 3 emissions, however, presents a new frontier—complex, less defined, and significantly more difficult to navigate. This panel will discuss:

Understanding how AI can help streamline Scope 1-3 emissions reporting by automating data collection, improving accuracy, and providing actionable insights from complex datasets.
Strategies to incorporate scope 1-3 emissions into your business operations and accelerate data collection efforts.
How to navigate the inconsistent expectations regarding the recording and granularity of supply chain data. Is there an accepted baseline for reporting that can help?
Overcoming the challenge of gathering accurate data from the entire value chain, especially considering the lack of standardization, inconsistent measurement methods and data quality across different companies and industries.

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