Interview: Leveraging Data Analytics and AI at Chevron Phillips Chemical to Streamline Operational Processes

In today’s rapidly evolving technological landscape, dominated by Artificial Intelligence and Generative AI, companies are racing to boost productivity and increase efficiency. However, these advancements bring their own set of challenges and user experiences.

Chevron Phillips Chemical Company, a leader in the petrochemical industry, is currently at the forefront of redefining how technology supports its connected workforce. To learn more about how the company is leveraging AI and data analytics to optimize operations and empower its workforce, we spoke with Chevron Phillips’ Chief Data & Analytics Officer, Brent Railey.

Having worked at Chevron Phillips for over 20 years in various domestic and international roles, Brent has played a pivotal role in forming the first Data Science Team. Before stepping into a leadership role, he implemented tools like Power BI and Seeq for time-series analytics and contributed to the company’s digital transformation program, building and leading the data science team, whilst also supporting the formation of a data engineering team.

Read as he shares insights into:

• The challenges and opportunities of deploying cutting-edge technologies like Generative AI
• How to leverage AI and data analytics to streamline operational processes
• The best metrics to track and assess the impact of both operational efficiency and user experience
• How to measure the ROI of your AI initiatives