In-person on-demand session
How to successful scale ai - from idea to impact
ABOUT THE SESSION
Dr. Eva-Marie Müller, the Advanced Analytics & AI Practice Leader at IBM GBS, is globally recognized as a visionary in ethical AI and transformative business innovation. With accolades including “Top 10 Most Influential Woman in Technology” and “World’s Best Data Scientist,” she brings over 25 years of experience building AI solutions that drive measurable impact across industries, governments, and society. At the intersection of cutting-edge technology, governance, and financial performance, she has led large-scale AI initiatives—from architecting IBM’s first global AI Center of Excellence to advising the UN and EU on ethical AI frameworks. Eva-Marie is all set to share her powerful insights on how to successfully scale AI—from idea to impact, blending strategic foresight with operational execution to ensure that AI not only delivers results but does so with trust, transparency, and purpose.
She will share her expert insights on the fundamental pillars required for successful AI and Data Science adoption in the oil and gas industry, emphasizing the critical role of a well-defined strategy and vision as the foundation for long-term impact. Dr. Eva-Marie Müller will highlight the technical requirements necessary to support scalable AI initiatives, including data infrastructure, governance, and integration capabilities. She will also delve into deployment best practices using AIOps and MLOps, showcasing how automation, continuous monitoring, and model lifecycle management can ensure reliable, ethical, and efficient AI operations that drive value across exploration, production, and operational workflows.
Key Topics-
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Fundamental pillars for successful AI and Data Science in Oil and Gas
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The importance of a strategy and vision
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Technical requirements
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How to deploy: AIOps and MLOps
For more on this conference or to access the session, reach out to us at info@ptnevents.com.
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Oil and Gas Automation and Digitalization Conference 2025
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