Pacific Gas & Electric
As a Senior Data Scientist at Pacific Gas and Electric (PG&E), Michael Signorotti is developing a computer vision platform to enhance the company's drone inspection initiative. His objective is to build object detection and classification models which have the potential to increase the efficiency and effectiveness of remotely performed asset evaluations. In the past, Michael has led the development of data science and engineering efforts ranging from customer segmentation to mining PG&E’s massive electric interval usage dataset. Michael is a graduate of the College of Engineering at the University of California, Berkeley and began his career in PG&E’s IT Rotational Development Program where his assignments focused on software engineering.
This is a consume-at-your-own-pace event, it will take place 100% online. All of the content has been pre-recorded and will be released at its scheduled time. If you can’t listen or watch a session when it’s released, remember that you can access it at ANY TIME in the next 30 days.
- Listen to podcasts
- View webinars
- Watch videos
- Access articles, white papers, case studies and research reports
- Chat with speakers and attendees via discussion forums
- Visit sponsor profile pages