Elevating analytics: Migrating from SAS to the cloud for modern, efficient data management
4-minute readQuick summary: We explore the strategic shift from SAS to cloud-based analytics, emphasizing the benefits of modernization, cost efficiency, and en... Read more.
Are you Gen AI-ready … or just Gen AI-hopeful? A real-world guide to generative AI readiness
Explore the critical steps for evolving from enthusiasm to true generative AI readiness through practical measures in business strategy, IT strategy, and AI gov... Read more.
Designing the roadmap to utility grid modernization
How a well-planned data science roadmap can enable utilities to achieve their grid modernization goals—and realize additional benefits along the way... Read more.
Grid of the Future White Paper
The grid of the future: where today’s challenges meet tomorrow’s possibilities... Read more.
How utilities can build organizational capabilities in data science
Utilities can build capabilities in data science with a focus on technology alignment, strategic innovation, and talent management in a center of excellence.... Read more.
How utilities use analytics and machine learning for risk management: top 6 use cases
Machine learning for risk management can help utilities increase safety, improve regulatory compliance, manage costs, and improve service for their customers.... Read more.
Optimizing Vegetation Management for Utilities
To optimize vegetation management, we recommend these eight best practices to help utilities manage risk, reduce costs, and improve the customer experience.... Read more.
Ways data & AI are revolutionizing the utilities sector
Logic20/20 is pleased to share an interview from the Azure Data & AI Pioneers Series featuring Keith Boyd, Communications Director at Microsoft.... Read more.
Synthetic data enables innovation partnerships to build world-changing solutions
How synthetic data is helping businesses evaluate third-party innovation partners while preserving data privacy... Read more.
Synthetic data unlocks true cross-organizational data portability
Synthetic data allows for data portability and enables organizations to share the insights of data across different divisions, without risk of data leakage.... Read more.