When approaching an AI project, there are many paths that can be taking to get to the desire endpoint. Vendors are innovating and creating valuable solutions but understanding who and which solution to use can be a real headache. Moreover,

novel use cases on unique assets may require novel, self-built, solutions. Our panellists will help you through this process, discussing:

● Balancing cost with control: Buy to cut development time by 40%? Build for increased control over customization and long-term cost savings? ● Dissecting the impacts on speed to operationalization

● Do talent gaps in the face of AI-specific developer shortages make consultants and vendors a necessity?

● How to strike the hybrid sweet spot

• Discussing how Causal AI methods are emerging as a means to go beyond diagnosis and prediction to prognostication, enabling decision-makers to objectively analyze “what-if” scenarios
• Exploring how by aiding in the discovery of relationships in data and creating a means to integrate SME knowledge into predictive models, causal AI-based applications can help operating companies to optimize supply chains, assess safety risk, perform root cause analysis, and execute production plans
• Analyzing the opportunity presented by this emerging technology, and the requirements for its development and implementation to generate value in oil and gas