Industry Primer for Energy and Utilities: Technology, Innovation, and AI
1h 24mBeginner2026-07-24
Authors

Starweaver
Course details
Energy and utilities technology operates under constraints few other industries face: every system change must preserve grid reliability, pass regulatory review, and maintain cybersecurity compliance. Consultants who misjudge these dependencies or underestimate the pace of utility modernization quickly lose credibility.
This course prepares you to advise energy and utility clients on technology, innovation, and AI. Explore the core systems supporting grid operations, from SCADA and asset management to metering and energy trading platforms. Examine how cloud, unified data, and automation advance within strict reliability and regulatory boundaries, and assess where AI creates value—and where it introduces risk—in safety-critical operations. This course emphasizes business understanding over technical implementation, preparing you to evaluate emerging technologies and identify consulting opportunities across AI strategy, technology modernization, data strategy, and automation.
This course prepares you to advise energy and utility clients on technology, innovation, and AI. Explore the core systems supporting grid operations, from SCADA and asset management to metering and energy trading platforms. Examine how cloud, unified data, and automation advance within strict reliability and regulatory boundaries, and assess where AI creates value—and where it introduces risk—in safety-critical operations. This course emphasizes business understanding over technical implementation, preparing you to evaluate emerging technologies and identify consulting opportunities across AI strategy, technology modernization, data strategy, and automation.
Concepts
Introduction
- Getting started
Technology Landscape Overview
- Core systems and the industry tech stack, part 1
- Core systems and the industry tech stack, part 2
- Infrastructure and security considerations
- Emerging technology trends and adoption patterns
Digital Transformation Trends
- Cloud, automation, and the role of data
- Transformation challenges and customer experience
AI and Advanced Analytics in the Industry
- Decision intelligence and AI maturity
- AI use cases and associated risks, part 1
- AI use cases and associated risks, part 2
Innovation and Emerging Technologies
- Emerging technologies and innovation models
- Platform shifts and ecosystem change
Technology Challenges and Risks
- Legacy constraints and data quality
- Security, compliance, and change management
Consulting Opportunities in Tech and AI
- Course wrap-up
- Data strategy and automation initiatives