Conventional vegetation management by power utilities has been based on 3-year revisit scheduling and largely ground-based monitoring. These efforts have not been minor-utilities spend rather many millions of dollars per year. But recent events in California have made it clear that they are completely insufficient. At OmniSci, we have developed an alternative solution based on continuous monitoring, data, and fire science. Our system integrates near real-time satellite, LIDAR, and weather and micro-demographics data in order to assess risk dynamically.
The Importance of Analysis-Ready Data to Powerline Fire Safety Planning using GPU-Accelerated Analytics
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.