In recent years, the Oil and Gas sector made significant investments in its data analytics and Artificial Intelligence initiatives. However, recent studies show that these initiatives are stalling and have a low return on investment due to misalignment between business needs and the Artificial Intelligence solutions developed, data availability, access, and quality, slow adoption of resolutions by business segments, failure to scale and productionize, and decision makers’ inability to fully understand the value Artificial intelligence can add to their portfolios. This session highlights the success of BHP’s Artificial Intelligence initiatives within E and P and lessons learned from their journey.