Innovating with AI for ADMS Data Readiness: Real-World Experience with Evergy & Awesense

Ensuring precise network model connectivity, accurate customer mapping, and correct phasing is essential for a successful Advanced Distribution Management System (ADMS) implementation. However, these challenges often lead to costly delays and inefficiencies, preventing utilities from fully leveraging ADMS capabilities.

Before implementation, Evergy encountered significant data accuracy issues that hindered operational efficiency and scalability. To overcome these obstacles, Evergy adopted the Awesense AI Data Engine, an advanced AI-driven solution designed to automate and refine GIS data preparation for ADMS.

This session will explore how artificial intelligence is transforming data readiness in the utility industry by:

• Enhancing Data Accuracy – Improving GIS data integrity to ensure ADMS operates with precise, reliable information.
• Resolving Connectivity Issues – Automatically detecting and correcting errors in network model connectivity.
• Improving Customer Mapping & Phasing – Ensuring correct customer assignments to transformers and validating phase relationships.
• Reducing Costs & Streamlining Processes – Eliminating manual data-cleaning efforts, accelerating ADMS deployment, and improving system reliability.

Attendees will gain real-world insights into how AI-driven solutions enhance operational efficiency, reduce implementation roadblocks, and enable smarter grid management. This session provides a firsthand look at how Evergy’s experience with Awesense showcases AI’s transformative role in modernizing utility operations.