Utility Analytics Institute
UA Week 2023 | Session Evaluation 11/2
Using a scale of 1 to 5, please circle the response you feel is appropriate for each statement or question.
Session Name:
GS4: It's More Than Magic, It's Real: Unraveling the Wizardry Through Data and Analytics at Universal Destinations and Experiences
501: National Grid Minimizes Travel Expenses Through Efficient Workforce Assignments Generated Using Mathematical Optimization Tools
502: EPCOR Approaches the Future of Grid System Planning with Quantitative Infrastructure Investment Risk Analysis
503: Oncor Fires Up Process Improvements to Increase Reliability During Extreme Cold Events
504: Evergy Demonstrates Strategies to Upskill In-House Talent to a Data Science Role
505: Exelon's Predictive Algorithm Generates Customer Specific Outage Detection Estimates Improving Speed and Availability of ETR
601: How Delaware Electric Cooperative Uses Vegetation Intelligence to Reduce SAIDI and Costs
602: JEA Illustrates How to Improve Meter Estimates Using the Gradient Boosting Machine Learning Technique
603: Dubai Electricity and Water Authority is Reducing Cable Joint Failures with Data Driven Maintenance Strategies
604: Watch How Consumers Energy Trains Models to Detect Utility Assets Within Drone Imagery
GS5: Generative AI: How can we use it and how SHOULD we use it?
Overall this session was excellent.
5
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1
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The session content was what I thought it would be.
5
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This session provided useful information.
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1
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This would be an important topic to include next year.
5
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The speaker(s) displayed a strong knowledge of the subject.
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The speaker(s) has a strong ability to communicate ideas.
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I can apply what I learned to my current job/profession.
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