AI to Lead Sustainable Management: 'Green Enertech ESG Conference 2026' Set for August 7
Translated from Korean, summarized and contextualized by DistantNews.
At a glance
- A conference on Artificial Intelligence and ESG (Environmental, Social, and Governance) management will be held on August 7, 2026, in Songdo, Incheon.
- The 'Green Enertech ESG Conference 2026,' co-hosted by the Incheon Tourism Organization and the Korea ESG Enterprise Association, will explore AI's impact on sustainability and carbon neutrality.
- The event will feature discussions on AI applications in ESG data management, supply chain response, and carbon emission control, with a keynote on AI data centers and ESG management.
The 'Green Enertech ESG Conference 2026' is set to convene on August 7, 2026, at the Songdo Convensia in Incheon, South Korea. This event, co-hosted by the Incheon Tourism Organization and the Korea ESG Enterprise Association, aims to dissect the transformative influence of Artificial Intelligence on corporate sustainability and carbon neutrality strategies.
The conference, under the theme 'AI ร ESG: The Future of Sustainable Management Driven by Data,' will delve into the increasing integration of AI across various facets of ESG management. Discussions will cover practical applications and data-driven solutions for ESG data management, supply chain responsiveness, and carbon emission tracking.
AI ร ESG: The Future of Sustainable Management Driven by Data
Keynote speaker Kim Ji-hyun, Vice President at SK Management and Economic Research Institute and SK SUPEX AI Committee, will present on 'The Growth of AI Data Centers and the AX (AI Experience) Transformation of ESG Management.' The event will also feature insights from representatives of the Korea Chamber of Commerce and Industry, AI Archive, Save the Farms, and Carbon Energy, sharing industry-specific case studies and best practices.
The Growth of AI Data Centers and the AX (AI Experience) Transformation of ESG Management
Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.