Asset reliability is a critical key performance indicator in any asset-driven business. An IBM study revealed that hybrid AI/ML models, combined with generative AI, can enable operational teams to prioritize and reduce serial failures by 25%–50% while increasing site reliability by 10%–15%.

Dow Chemical Company is currently leveraging GenAI capabilities to automatically extract key failure information that enables the analysis of reliability metrics from multiple sources and sites, including both structured and unstructured data.

Featuring exclusive insights from Technical Leaders and Executives at Dow, download the case study to:

• Learn how Gen AI can address operational challenges such as improving data quality and streamlining processes in asset-driven industries
• Understand how Dow is leveraging AI to extract, clean, and analyze maintenance data
• Learn how new AI tools can complement rather than replace existing systems, ensuring continuity while enhancing capabilities and resource optimization