Digital solution - when to partner, and when to bring In-house?

SPEAKERS

Elias Ghantous Partner, Oil & Gas Lead, EnergyExpert

ABOUT THE SESSION

Elias Ghantous, Partner and Oil & Gas Lead at SLB, brings extensive experience in shaping strategies and driving performance improvements across the global energy value chain—from upstream exploration to downstream refining, LNG, and power generation. With a strong background in corporate strategy, operations excellence, and digital transformation, he has advised leading energy companies in Europe, the Middle East, and North America. Elias is all set to share his expert views on when to partner and when to build digital solutions in-house, offering a strategic lens on how organizations can evaluate capabilities, risks, and long-term value. He will explore the benefits of partnering—such as faster deployment and access to specialized expertise—versus the advantages of in-house development for customized, competitive-edge solutions. Backed by real-world examples, Elias will provide a practical framework to help companies make smarter digital investment decisions that align with their business goals, technical capacity, and market demands.

He is all set to share his insights on mapping the digital value chain for Oil & Gas operators, focusing on how to identify high-impact opportunities across exploration, production, and operations. He will discuss strategies for architecting fit-for-purpose digital projects in collaboration with vendors, ensuring that while leveraging external expertise, companies simultaneously build and retain critical knowledge in-house. Emphasizing the long-term value of internal capability development, he will highlight the importance of investing in in-house data science and machine learning teams to drive innovation, enhance operational agility, and sustain digital transformation across the energy value chain.

Key Topics-

1. Mapping the digital value chain for Oil & Gas Operators

2. Architecting fit-for-purpose projects with Vendors, while ensuring knowledge is built in-house

3. Developing in-house data science and machine learning capabilitie

For more on this conference or to access the session, reach out to us at info@ptnevents.com. 

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