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Utility software in operations: How to operationalize AI at scale

Utility software in operations: How to operationalize AI at scale

by Gigawatt | Mar 4, 2026 | Operations

Utility software in operations has long served as the backbone of grid, field, billing, and compliance processes. However, most platforms were originally designed to record transactions, not to orchestrate real-time decisions across interconnected domains. As...
AI for utilities in regulatory compliance: From data silos to audit-ready operations

AI for utilities in regulatory compliance: From data silos to audit-ready operations

by Gigawatt | Mar 3, 2026 | Governance

Regulatory compliance has become one of the most resource-intensive functions inside modern electric utilities. Reporting cycles, rate cases, reliability filings, and audit preparation now require coordination across fragmented systems and multiple operational...
AI for engineering in utilities: 10 high-impact use cases

AI for engineering in utilities: 10 high-impact use cases

by Gigawatt | Mar 2, 2026 | Operations

Engineering is the operational backbone of every electric utility. Grid planning, asset health monitoring, capital project execution, and compliance documentation all depend on engineering precision. When these functions slow, reliability metrics and financial...
A practical guide to AI for utilities in customer service

A practical guide to AI for utilities in customer service

by Gigawatt | Feb 26, 2026 | Customer

Utility customer service spans billing, outages, account changes, service requests, digital engagement, and regulatory commitments. Performance depends on whether employees and customers can obtain accurate context and complete the right next step without unnecessary...
AI Data Fabric: Enabling faster deployment across utility functions

AI Data Fabric: Enabling faster deployment across utility functions

by Gigawatt | Feb 25, 2026 | Modernization

Utilities operate on fragmented ERP, CIS, SCADA, and workforce systems that slow modernization and complicate AI adoption. Data lives in silos, integration projects stretch for years, and measurable ROI remains difficult to prove across functions. AI data fabric...
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