Dany Rahal

Dany Rahal is a senior Digital executive with 25 years of experience in technology leadership across the energy sector. He holds a postgraduate engineering degree in telecommunications from École Supérieure d'Ingénieurs de Beyrouth (ESIB Beirut), complemented by dual master’s degrees—one in networks and cybersecurity from École Nationale Supérieure des Télécommunications (Telecom ParisTech), and another in oil and gas management from Heriot-Watt University. Since joining SLB in 2000, Dany has held diverse technical consulting and leadership roles across Europe and Africa. In 2010, he was appointed Global Deployment Manager for SLB’s next-generation reservoir simulator, INTERSECT, based in London. From 2014 to 2018, he led SLB’s software business in the Middle East, followed by global leadership of product management and deployment for SLB’s cloud platform, Delfi. As of July 2022, Dany serves as Vice President Digital for the Middle East and North Africa region, based in Dubai, where he oversees SLB’s digital strategy and execution across a dynamic and rapidly evolving energy landscape.

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.

Thursday, 5 November

12:30

AI, Digital & Technology Plenary Hall A 12:30 - 13:00

Building the data infrastructure for AI in energy

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