CREDIT: TGS
TGS
Emphasising responsible AI implementation As TGS deploys AI across its operations, the company has developed comprehensive governance frameworks for responsible AI use. This includes policies balancing innovation with data protection and regulatory compliance requirements.
“ We’ ve developed a Gen AI policy that ensures AI is deployed responsibly, balancing innovation with controls around data use, IP protection and regulatory compliance,” Wadii reveals.“ Beyond policy, we are embedding AI into workflows in a controlled and transparent way, for example, assisting teams with efficiency and innovation while maintaining clear boundaries around confidential and sensitive data.
“ Our communications on AI emphasise not just compliance, but also how AI is a transformative enabler for operational
efficiency, integration post-merger and accelerated insight delivery for clients.”
Security considerations are built into TGS’ cloud migration strategy from the outset. As the company moves highperformance computing workloads from on-premises systems to AWS, it implements cloud-native security controls and zero-trust principles.
Given the sensitivity of seismic and subsurface data, TGS treats cybersecurity as integral to business continuity and client trust rather than merely an IT function.
The importance of industry collaboration Beyond technology partnerships, TGS maintains extensive relationships with universities and research consortia. These collaborations provide access to cutting-edge research and insights from other industries that could benefit energy exploration.
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