Sadik Noman

IT Program Manager- Mid Africa Chevron

Main Conference Day 1 - October 8, 2025

10:10 AM Centralized Emissions Data: A Feasibility Check

Creating a centralized emissions data model can enhance transparency and comparability, but involves significant implementation challenges including data standardization, quality, migration, and CAPEX investment. In this session our panelists will debate if the benefits really outweigh the challenges.

While using AI and ML can help standardize diverse operational data sets, considering the implementation issues, do they really improve the efficiency of data migration?
Limited and conflicting data hinders the ability to measure emissions reduction impact. Does a centralized view provide the insights needed, or risk overlooking key areas?
Data-agnostic solutions will undoubtedly streamline the process of converting raw data into actionable insights, thereby boosting efficiency and profitability. But can these benefits be achieved when working on a facility-by-facility basis?

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