The Leading Event Dedicated to Leveraging AI to Power Intelligent Operations and Maximize Asset Performance
Pre-Conference Workshop Morning - February 24, 2025
7:30 am - 8:00 am
Check In & Networking Breakfast
Workshop Registration Opens and Networking Breakfast
Workshop A
8:00 am - 9:30 am Building the Business Case: Calculating Business Value and Cost for AI Use Cases Brent Railey - Chief Data & Analytics Officer, Chevron Phillips Chemical CompanyWith 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
Workshop B
8:00 am - 9:30 am Building the Data Foundation for AI Cathy Normand - Upstream Data Governance Principal, ExxonMobilLess than 25% of organizations consider themselves data-driven, despite almost all of them ‘drowning’ in operational data. To drive value from data, companies must not only harness the right data but also employ advanced tools to turn it into actionable insights. This will help you create a strong and reliable foundation for AI initiatives. This workshop
will explore how leading operators are transforming raw data into valuable insights that unlock opportunities for innovation, efficiency, and growth. The workshop will focus on:
● Identifying high-value data and eliminating noise, ensuring your teams focus on the most impactful information
● Exploring strategies for improving data accessibility and collaboration, breaking down silos to foster cross-functional insight sharing
● Learning about key data visualization and analytics tools that enable quicker, more accurate decision-making
● Ensuring compliance with industry and governmental regulations
● Discussing how to draw insights by leveraging AI and ML to turn operational data into predictive models that drive efficiency and uncover new opportunities
9:30 am - 9:45 am
Networking Break
Workshop C
9:45 am - 11:15 am There is No AI without PI: The Process Insights You Need to Prepare for Enterprise-Wide Generative and Agentic AI Implementation Jon Krome - Industry Principal - Energy, CelonisChristian Barlow - Principal Value Engineer, Celonis
Process Intelligence (PI) is critical for organizations to generate value from their business operations and tech investments, especially generative artificial intelligence (AI). In fact, there isn’t any type of enterprise AI without PI.
Consumer AI works because it has both a wealth of data to train on (books, articles, web pages) and the context necessary for it to understand how all those raw data points relate to each other (Wikipedia, online archives, etc.). This is often not the case in the enterprise, where there’s plenty of raw data from business systems (ERP, CRM, etc.), but no Wikipedia-like reference to connect all that disparate information. Process Intelligence provides this connection—the unique business context necessary to enable effective enterprise generative AI.
This workshop will dive into the fundamental foundational process insights your organization requires to scale enterprise-wide AI solutions.
Workshop D
9:45 am - 11:15 am From Hype to Impact: Maximizing Asset Performance with Real Time AI Analytics Sathisan Vannadil - Senior Partner Solutions Architect, AWSHugo Sheng - Senior Director of Engineering, Qlik
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
