With many struggling to quantify the ROI of AI initiatives, building a solid business case is essential for securing buy-in and ensuring long-term success. In this workshop participants will learn how to effectively calculate both the value and cost of AI use cases and create an irresistible business case. This session will provide practical tools and strategies to help you maximize the impact of your AI investments while minimizing risk. The workshop will focus on: 

• Developing a framework for assessing the financial impact of AI projects, from cost savings to revenue generation 
• Calculating the total cost of ownership (TCO) for AI use cases, including technology, implementation, and maintenance expenses 
• Exploring real-world examples of AI use cases at Shell that have delivered measurable business value  
• Best practices for building internal support by communicating the tangible and intangible benefits to key stakeholders and budget holders 

It’s estimated that over 80% of North American energy companies will have implemented some form of AI in their operations by 2025. Many are starting small, demonstrating value, and looking to aggressively scale. The sector is on the precipice of the most dramatic transformation in how operations are conducted, how decisions are made, and how employees interact with assets. Our keynote panel will discuss:

● Scaling AI PoC’s by championing value to a range of stakeholder to drive greater efficiency, innovation, and value to your organization

● Exploring the anticipated rise in data and AI-related regulations, with 60% of energy leaders expecting new compliance standards within the next five years 

● Futureproofing AI projects by increasing data quality and access

● Preparing for workforce transformation: How do you identify – and then develop - the digital skills and capabilities you need?

As AI becomes integral to operations, 68% of organizations express concerns over transparency, fairness, and accountability in AI-driven decisions. In the energy sector, where AI has the potential to revolutionize operations, building trust in these technologies is crucial to mitigating risk and ensuring smooth adoption. This panel of industry operators will discuss the challenges and strategies involved in fostering transparency, managing risk, and building a culture of trust in AI-powered operational transformation.

● Exploring real-world experiences of operators addressing AI-related risks, including data privacy, bias, and decision accountability

● Building transparency into AI systems to gain stakeholder confidence and drive successful AI adoption across operations

● Managing AI governance and ethical considerations in high-risk, high-impact environments like Oil & Gas

● Understanding the role of cross-functional collaboration in developing AI solutions that are both effective and trusted by teams at all levels