Harnessing AI and ML in oil and gas enables proactive maintenance, improving efficiency, reducing costs, and enhancing safety. These technologies provide actionable insights for informed decision-making and effective asset management.

Whitney Olmsted

Managing Director - Data and Analytics at CapTech

Session description
Whitney Olmsted is the Managing Director – Data and Analytics at CapTech. As a Senior Account Executive, she leads CapTech teams in delivering a wide spectrum of solutions for Natural Resources clients. She partners with clients to understand industry-specific challenges and drive technology solutions for strong ROI. With nearly three decades of experience in technology and strategy, Whitney excels in implementing innovative solutions. She will discuss harnessing data for better decision-making and how AI/ML empowers proactive maintenance in the oil and gas industry. These technologies enhance operational efficiency, reduce costs, improve safety, and provide actionable insights for better asset management.

Whitney Olmsted will share her views on how AI and ML technologies can revolutionize safety, predictive maintenance, and emissions forecasting in the oil and gas industry. She will discuss how leveraging past incidents can mitigate safety risks and predict future occurrences, enhancing predictive maintenance practices by identifying potential equipment failures early and optimizing maintenance schedules. Additionally, she will explore how automating processes can expedite the generation of auditable, compliant reports, and how AI can forecast future emissions trends, thus ensuring regulatory compliance and proactive environmental management.

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