•    Data Harmonization Strategies: Establishing unified data formats across disparate legacy systems, field equipment, and operational silos to create AI-ready datasets that speak the same language
•    Legacy System Integration Roadmap: Practical approaches to retrofitting decades-old infrastructure with modern sensors and connectivity while maintaining operational integrity and minimizing downtime
•    Data Quality Assessment Framework: Developing systematic methods to evaluate, clean, and validate historical operational data to ensure AI models receive reliable inputs for meaningful insights
•    Building the Digital Foundation: Understanding the organizational commitment, resource allocation, and timeline requirements needed to transform raw operational data into structured assets that drive tangible AI value