Formulating a Decision on AI: Prioritizing High-Value Analytics

As manufacturers accelerate AI and advanced analytics adoption, many face a familiar challenge: how do you scale innovation without creating unnecessary complexity?

At Chevron Phillips Chemical Company, the focus has been on building high-value, resilient digital solutions that deliver measurable business outcomes while remaining adaptable to emerging technologies such as Generative AI.

In this exclusive interview, Brent Railey, Chief Data & Analytics Officer at Chevron Phillips Chemical Company, shares how his team is simplifying technology landscapes, strengthening data foundations and creating the conditions for trusted AI adoption at scale.

You'll learn:

• How Chevron Phillips Chemical Company evaluates emerging technologies and AI investments to maximize value while minimizing risk
• Practical strategies for reducing complexity and accelerating adoption across the workforce
• Why data governance, integration and trust are essential for scaling digital initiatives
• How to balance innovation with operational resilience in a rapidly evolving technology landscape
• The opportunities and limitations of Agentic AI in industrial operations