Using AI for proactive maintenance and to ensure the reliability of assets regardless of profile 

• Exploring the key elements of building an organizational culture that supports AI adoption, from leadership buy-in to front line operations team engagement 
• Learning strategies to overcome resistance to AI, addressing fears around job displacement and fostering collaboration between humans and machines 
• Discovering how to upskill your workforce, providing them with the tools and knowledge they need to support increased productivity 
• Understand the importance of transparency and ethical AI practices in gaining trust and ensuring successful, sustainable AI integration 

As the energy sector increasingly embraces AI, the pressure to ensure long-term ROI will grow. Gartner estimates over 50% of AI initiatives fail to deliver sustained value, primarily due to poor scalability, governance issues, and misalignment with evolving business needs. In this session our speakers will discuss strategies you can deploy today to ensure you future-proof your investments for tomorrow. Key topics include: 

• Building AI systems that can scale across operations and adapt to new data, use cases, and emerging technologies without constant rework 
• Implementing governance frameworks that mitigate compliance and ethics risk in a rapidly changing regulatory landscape 
• Ensuring collaboration between data scientists, engineers, and operations teams to maintain AI models, adjust them to operational changes, and sustain value 
• Embedding a culture of AI-centricity, data-centricity, and of continuous learning and development