In the oil and gas sector, real-time data is a critical asset, yet some estimate less than 15% of organizations effectively leverage it for predictive analytics and generative AI. It’s time to uncover common barriers and move from hype to impact in maximizing asset performance. This workshop engages attendees in a thoughtful discussion on why AI projects fail, how to avoid the common pitfalls of AI projects and lessons learned. Attendees will walk away ready move from Hype to realizing value with the power of AI. 

• Understand where your organization sits in the AI maturity model, and how to advance to the next level 
• Gain insights into establishing a scalable infrastructure that supports continuous AI-based analysis, enabling predictive and prescriptive maintenance 
• Explore real-world use cases where real-time AI-based monitoring has maximized asset reliability and reduced unplanned maintenance 
• See how AI-driven real-time analysis identifies inefficiencies and optimizes asset utilization, leading to improved operational outcomes