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AI and the enterprise

How can the energy industry turn faster AI-driven insights into faster, more effective decisions?

As AI becomes embedded across energy operations, from field technicians and control room operators to asset planners and C-suite executives, the challenge is shifting from AI adoption to organisational adaptation. While AI can accelerate analysis and surface insights in minutes, decision-making, approval processes, and operating models have not always kept pace.

Join industry experts from Accenture, AIQ, NVIDIA, SUPCON and Tenaris at the ADIPEC webinar, powered by Energy Connects, to explore how energy companies can adapt their operating models, governance, and decision-making structures to unlock the full value of AI across the enterprise.

The discussion will explore:

  • Why has time to insight accelerated while time to decision has not, and where does the lag sit?
  • How is AI changing day-to-day roles across energy operations, from operators and technicians to supervisors and the C-suite?
  • What needs to change across decision rights, delegation of authority, approval thresholds, and planning cadence as AI becomes embedded in end-to-end workflows?
  • What enterprise governance is required as AI agents begin to transact with one another, and who should own that mandate at CXO level?
  • How can energy companies assess the commercial economics of AI and make investment decisions as the technology scales?

 

 

Speakers

Rajiv P. Agarwal

Management Consulting Principal Director

Accenture

Nidhal Belayouni

Director of Data Science

AIQ

Anuj Dhoot

AI Consulting Client Director - EMEA

NVIDIA

Kenneth Lim

Director of Strategy and Marketing, SUPCON International Business

SUPCON

Vincenzo Manzoni

Data Science Senior Director

Tenaris

Moderated by: Danielle Martin

Assistant Editor

Energy Connects