10th Annual
AI in Oil & Gas Conference
Conference: April 8-9, 2025
Workshop: April 10
Hyatt Regency Houston West | Houston, TX
$600 EARLY BIRD EXPIRES ON FEB 21
REGISTER HERE
AI Empowered Transformation in Oil & Gas:
Sustainability, Efficiency, and Workforce Integration
2025 EVENT REGISTRANTS ALREADY INCLUDE
2025 EVENT FEATURED SPEAKERS
ABOUT THE CONFERENCE
Is your organization genuinely capitalizing on AI’s transformative potential—or are you still navigating the roadblocks of legacy systems, siloed data, and uncertain ROI? At the 2025 AI in Oil & Gas Conference on April 8-9, you’ll join 250+ senior-level leaders, data scientists, Principal AI Engineers, CIOs, and Operations Directors in Houston, network with peers from ExxonMobil, Shell, Chevron, bp, Murphy Oil, Chevron Phillips Chemical Company, Murphy Oil, and beyond, and walk away ready to accelerate to fast-track your AI initiatives.
From quick wins—like boosting output and minimizing downtime—to more visionary, long-term efforts, oil and gas companies are under growing pressure to embrace more efficient, cost-effective strategies. Yet as fields age, markets swing, and sustainability goals rise, many find themselves bogged down by data silos, shifting regulations, and workforce training hurdles. While it can feel daunting, the rewards are immense: leaner operations, safer worksites, lower costs, and a clear roadmap toward lasting profitability.
Across two days, you will discover tangible solutions to:
- Standardizing data sets across legacy systems to establish transparent AI governance, learning how to create a resilient framework that enables seamless integration of new technologies
- Exploring proven tactics for bridging the gap between leadership vision and field operations, ensuring everyone from executives to engineers is aligned on AI’s value and goals
- Mitigating Security and Compliance Risks With dedicated sessions on cybersecurity and risk management, gaining insights into safeguarding AI deployments in mission-critical environments while staying ahead of evolving threats regulations
- Effective strategies to train, recruit, and retain a data-savvy workforce—ensuring your teams can confidently drive and sustain innovation
- Uncovering how legacy oilfields can benefit from AI upgrades, where to prioritize investments for maximum ROI, and the practical steps needed to scale pilots into enterprise-wide transformation
- Delving into success stories from women leaders who are driving AI adoption in a traditionally male-dominated industry and learning how to cultivate a more inclusive workforce
- Examining next-gen applications like generative AI, autonomous systems, and advanced digital twins to future-proof your operations and stay ahead of industry disruptions
WHAT TO EXPECT
- 25+ Sessions Spanning Two Value-Packed Days
Immerse yourself in keynotes, panels, lightning rounds, and interactive roundtables—all designed to fast-track AI adoption and maximize operational efficiency in oil and gas. - Women in AI & DEI Focus
Gain fresh perspectives in the dedicated session “Women in AI: Empowering Women in the Oil & Gas Sector”, and explore how diversity fuels stronger, more inclusive AI initiatives across the industry. - Real-World AI Use Cases—From Legacy Oilfields to Next-Gen Systems
See how AI optimizes production and maintenance in older fields, balances Horizon 1, 2, and 3 operations, and helps solve knowledge management challenges for a rapidly evolving workforce. - Interactive Roundtables & Advisory Board Insights
Participate in targeted discussions on change management, data democratization, building trust in AI models, and legacy-system integration, then hear Advisory Board perspectives on sustainable AI adoption and future trends. - Future-Focused Dialogue: From Generative AI to Autonomous Systems
Explore the cutting edge of AI, including IT/OT convergence, risk mitigation strategies, generative AI for workflow efficiency, and balancing ML with next-gen technologies—all key to staying ahead in a shifting market.
2025 ADVISORY BOARD
Sustainability, Efficiency, and Workforce Integration
AI-Driven Operational Excellence
Harness the power of artificial intelligence and advanced analytics to optimize your entire value chain. From predictive maintenance that prevents costly downtime to automated workflows enhancing drilling, refining, and transport operations, learn how cutting-edge digital tools improve asset performance, reduce operational costs, and position your organization for sustained competitive advantage.
Cybersecurity, Data Governance, and Ethical AI
Protecting the digital backbone of the energy sector is more urgent than ever. Discover the latest frameworks for safeguarding your infrastructure against cyber threats, ensuring data integrity, and upholding ethical standards in AI implementation. Develop trust with stakeholders by embedding responsible governance practices, meeting compliance requirements, and future-proofing your digital initiatives.
Workforce Transformation and Skill Development
Empower your teams to drive innovation from the ground up. Explore strategies for upskilling employees in data science, cloud management, and AI technologies while nurturing a culture of adaptability and collaboration. Equip your workforce with the tools and mindsets needed to navigate a digitized energy landscape confidently and stay ahead of the market curve.
Strategic Implementation and ROI of Digital Initiatives
Ensure every digital investment counts. Learn how to align new technologies with clear business objectives, choose between building custom AI solutions or buying off-the-shelf platforms, and effectively measure returns on digitalization projects. Gain insights into securing executive buy-in, overcoming organizational inertia, and turning pilot projects into scalable, value-generating programs.
Sustainability and the Energy Transition
Digital innovation is key to achieving long-term sustainability goals. Explore how AI, IoT, and advanced analytics accelerate decarbonization efforts, integrate renewables, and drive resource efficiency. From reducing emissions to meeting ESG benchmarks, learn how data-driven insights enable companies to align profitability with environmental stewardship, guiding the industry toward a cleaner, more resilient future.
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