AI in Oil and Gas: Turning Expectations to Reality

AI is transforming several sectors. Sectors such as Travel, Banking, Healthcare are leveraging AI applications that include virtual assistants, customer care and patient diagnosis. These applications are transforming effectiveness, efficiency and experience across value chains. Enterprises are increasingly adopting AI with a surge in adoption in 2024. The Oil & Gas Industry is following suit.[1] The Oil & Gas C-suite discussions on AI, predict vast technology advances with new value to their business, yet the reality is different from expectations. It is imperative that C-suite discussions result in business plans that provide visibility into the real value of AI and lead to tactical steps required to harness the technology. This thought paper series outlines the below path to turn expectations from AI in Oil & Gas into reality. The series begins with a focus on Upstream in Oil & Gas and aims to bring forth tangible and quantifiable opportunities in AI for Upstream Oil & Gas operations.

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Author Details

Rima Thakkar

Rima Thakkar combines her Oil & Gas industry and consulting experience to serve multinational clients through business & digital transformation engagements. Her experience spans across Upstream, Corporate, and Downstream Oil & Gas sectors in the US and Canada regions. She is passionate about helping her clients make great strides in real-time data analysis, AI & advanced analytics, value generation from AI use cases, and managing the entire digital product lifecycle for client transformation efforts.

Sachin Padhye

Sachin Padhye works on Digital Strategy and Transformation in Oil & Gas. He has experience in Downstream, Midstream and Upstream Oil & Gas in the US, India and South-East Asia. Sachin works with several large Oil & Gas companies to frame their digital strategy encompassing customer and employee experiences, operations, and new business models. Sachin helps quantify value across the Value Chain beginning with industry opportunities, ending with decisions and tools using AI/ML, Analytics, Insights, Visualization and Narratives.

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