In the rapidly evolving Energy industry, Data Management is the foundation of the digital revolution, acting as the fuel for advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and big data analytics. As energy companies face increasing pressures to innovate, reduce carbon emissions, and improve operational efficiency, managing data effectively becomes critical.

The AI Summit invites participants to submit proposals that address key challenges and opportunities in data management for the energy industry. These submissions will be evaluated for their potential to shape the future of data-driven excellence across the energy sector.

Participants are encouraged to focus on areas such as enhancing data quality, governance, and security, integrating legacy systems with modern digital platforms, and utilizing data to optimise operations and meet sustainability objectives.

Submissions should highlight how AI, IoT, and advanced analytics can be leveraged to transform raw data into actionable insights that drive performance improvements and reduce environmental impact.

The call for submissions seeks innovative solutions, case studies, and frameworks that address these challenges and contribute to building a smarter, more sustainable energy infrastructure. Submissions will be evaluated by the committee on their originality, practicality, and potential to influence the future of data management in the energy sector.