Dany Rahal

Dany Rahal is an accomplished energy executive with more than 25 years of experience bridging technology, operations, and business strategy. Effective January 2026, he assumes the role of Managing Director for SLB in the United Arab Emirates, where he leads strategic direction, operational performance, and stakeholder engagement in one of the company’s most critical markets.
Since joining SLB in 2000, Dany has held pivotal leadership roles across Europe, Africa, and the Middle East. His career is defined by his contribution to the industry's digital transformation, notably driving the global deployment of the INTERSECT reservoir simulator and the Delfi cloud platform. Most recently, he served as Vice President Digital for the Middle East and North Africa region, based in Dubai.
Dany combines technical, management and commercial expertise, holding a postgraduate engineering degree from ESIB Beirut and dual master’s degrees: one in Cybersecurity from Telecom ParisTech, and another in Oil & Gas Management from Heriot-Watt University.

Session Overview

Wednesday, 4 November

17:00

AI, Digital & Technology Conference Room A 17:00 - 17:40

Building the data infrastructure for AI in energy

Without a strong data foundation, AI initiatives in energy quickly stall. Many organisations still struggle with fragmented datasets, legacy systems and unclear ownership, making it hard to build consistent, reliable models. Accenture found that only 32% of leaders report having achieved sustained, enterprise-wide AI impact. Leading organisations are modernising data architectures, including data lakes and real-time platforms, to create unified, interoperable environments while managing cloud, security and governance trade-offs. Some are treating data itself as a commercial asset, building models that generate new revenue streams or reduce costs across the value chain. The gap between current capability and that goal is primarily one of governance and organisational will, not technology. Organisations that resolve these challenges establish the foundation for scalable, high-value AI deployment.

Attendee Insights:
Learn how leading organisations are modernising data architectures to overcome legacy constraints, improve security and generate tangible business value from AI deployment.