In the dynamic landscape of energy innovation, harnessing the potential of artificial intelligence (AI) demands more than just technological prowess. It hinges on trust—the essential ingredient that unlocks progress and value. Our panel of seasoned industry leaders will delve into the critical interplay between trust, adoption, and value realization in the AI-driven energy ecosystem. Join industry leaders willing to share hard-won experience in striking the right balance, managing transformative change, and building and maintaining alignment across a complex stakeholder and customer landscape. They’ll reveal key insights to achieve scale, bank value, and continuously improve solutions while managing cost. Panelists will discuss:

• How to learn strategies to rally stakeholders and foster buy-in for your digital metamorphosis. Discover effective communication tactics that bridge the gap between technology and people
• Leading methods to establish a transparent and resilient framework for AI governance. From ethical considerations to regulatory compliance, our experts will share insights on building trust through accountability
• How to create an inclusive dialogue, ensuring user adoption and minimizing resistance to change
• Top techniques to identify, mitigate, and minimize bias, fostering fair and equitable outcomes

Ido Biger

Chief Information and Data Officer
Delek US Holdings

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Laura Tibodeau

Global Digital Innovation & Transformation Leader
Ascend Performance Materials

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Josh Etkind

Upstream Deepwater Digital Transformation Manager and Business Opportunity Manager of Louisiana Coast
Shell

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• How NextEra has used deep learning models and data analytics to optimize asset performance
• Best practices and technologies to optimize asset usage through data-driven performance insights
• What data is good data? Key performance metrics to look for when assessing your assets and translating these into actionable change
• Identifying inefficiencies to streamline processes by managing and making use of your data

Lauren Foley

Manager of Energy Risk & Resilience
NextEra Energy

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John Andersen

Manager of Product Development
NextEra Energy

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• How machine learning can optimize operations through predictive insights and proactive responses
• Combining sensor data with ML technology to predict faults before they happen, increasing uptime of your assets
• Flagging inconsistencies to ensure safe and reliable performance and delivery
• Quantifiable benefits of using predictive analytics in your strategy for meeting energy demands

• How can we take inspiration from AI-based game engines to solve real-world supply chain challenges?
• Shifting your supply chain strategy from reactive to predictive and preemptive, leading to various benefits
• Scaling your supply chain models: challenges and lessons learned
• How Chevron Phillips Chemical Company has used deep reinforcement learning, leading to breakthroughs in their supply chain strategy

Ra Inta

Head of Data Science
Chevron Phillips Chemical Company

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Jacob Herzog

Data Scientist
Chevron Phillips Chemical Company

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• Use of data analytics and ML to achieve further insights that can drive your digital transformation strategy
• Human-machine synergy: empowering employees to work seamlessly alongside intelligent systems
• Inclusive innovation: How to ensure team-wide involvement in developing and using new technologies
• How your workforce can assist with idea generation and future innovation

Kevin Alborzi

Lead Product Manager
bp

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Steve Adams

Senior Manager IT – Digital Strategy
Constellation

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Josh Holtz

Data Science Manager
Dow

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• A look into cutting edge innovative technology and the benefits of keeping on top of the technological curve
• Use cases for Generative AI in the energy sector and the additional value potential LLMs can offer
• Ensuring your data is accurate and secure before shifting to scale

• Moving from proof of concept to scale efficiently and effectively to ensure successful uptake of new technologies
• The Importance of good leadership throughout your digital transformation: What makes a good leader?
• Ensuring the safety and efficiency of your workforce throughout the implementation of AI technology
• Managing your AI strategy through data organization at scale

Jonathan Alexander

Manufacturing AI & Advanced Analytics Manager
Albermarle

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• How AI technology can address the challenges associated with energy production and distribution and provide actionable insights for change
• How AI/ML can innovate the way you work and the benefits of implementing AI across your operations
• The importance of continuous learning and ensuring your workforce remains educated to deliver impactful change across the board
• Key challenges for AI at scale, and their solutions

• Combining domain knowledge with machine learning to improve process evaluation
• Provide clear efficiency gains through actionable insights and fostering intelligent data analysis
• Digitalize and automate modelling and operations
• Ensuring your data is high quality and relevant to improve model flexibility and precision

Tao Lin

Data Scientist
ARAMCO

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Qie Zhang

Data Scientist
ARAMCO

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• The benefits of remote asset monitoring to ensure worker safety and provide instantaneous information
• Top 5 ways intelligent asset performance management can lead to real efficiency gains and optimized production
• Minimizing downtime and maximizing equipment availability through advanced analytics

AI is set to fundamentally change the ways operators work, and preparing for that shift will allow you to make the most of the benefits it provides. Providing a future-thinking perspective, our panelists will discuss:

• Navigating the evolving energy sector and unlocking the secrets to navigating its digital and connected future
• How disruptive technologies such as AI can offer innovative solutions for the energy challenges of today and tomorrow
• How to prioritize adaptability to capitalize on the evolving pace of innovation

Sadik Noman

IT Program Manager for Mid Africa
Chevron

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Inderpreet Jalli

Senior Load Forecast Analyst
NRG Energy

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