[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are one week away from our September (2023) Asset Health Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, September 27 at 2:00 PM CT, we’ll be joined by Matan Gandelman, Product Owner, Image Analytics Capability at SDG&E who will be leading a discussion around, “SDG&E’s AI-Powered Asset Management & Inspections Reducing Wildfire Risk.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

The Digital Innovation team scaled the Intelligent Image Processing (IIP) initiative, designed to help address one of the region’s greatest challenges: the evolving and expanding threat of devastating wildfires.

Intelligent Image Processing is an innovative human + machine partnership and IT solution that leverages Artificial Intelligence (AI) and Machine Learning (ML) to rapidly detect assets and damages in millions of images captured via drones and mobile devices in the field. Over 3.4+ million images of equipment in high-risk fire areas have been ingested and analyzed by in-house-built ML models. Once images are uploaded to a central cloud repository, the visualization platform supports the review process for a qualified electrical worker. They validate the algorithm by annotating the images detecting SDG&E assets and visible damages, which further trains the model. Previously, the start-to-end process was manual and time-consuming; on average taking a team of 10 a day to get through 2,000 images. Today, 27,000 images are examined in the same amount of time. This capability shows the true value of a human + machine relationship and how the future of work can be more efficient and effective in the long term, moving with speed and agility.

This program is a “first-of-its-kind” cloud-based solution for the San Diego-based utility and demonstrates how the cloud can fuel innovation. SDG&E received the 2021 CIO 100 award for its use of innovative technology to deliver greater business value and enhanced customer experience. Since our initial proof of concept, we have deployed 94+ asset, damage, and third-party attachment detection capabilities that can identify fire risks in images in CPUC-defined high-fire threat areas. As new imagery is captured across the service territory, IIP will continuously flag damaged assets for human validation. The program has expanded to leverage LiDAR for vegetation encroachment identification, passive and active mobile phone image capture for asset and damage detection, and future-state integration of satellite imagery to provide context for the entire service territory.

Key Takeaways:

• Learn how SDG&E’s innovation framework enables the organization to rapidly test and scale programs that drive informed technology investments and add value to the business

• Gain an understanding of how SDG&E is using cloud technology and AI to predict asset and damage predictions in areas across their High Fire Threat Districts

• Experience firsthand the capabilities of SDG&E’s Intelligent Image Processing through a live demonstration

• Recognize the capacity to scale Intelligent Image Processing and learn about SDG&E’s plans for future asset management and inspection initiatives

Speaker: Matan Gandelman, Product Owner, Image Analytics Capability (SDG&E)

Matan Gandelman, Product Owner of SDG&E’s Intelligent Image Processing (IIP) platform, an image analytics tool. IIP is a human + machine partnership leveraging imagery and artificial intelligence in the cloud to drive value across the entire organization and customer base to lower risks, improve compliance programs, and operate assets more safely and reliably. With over 7 years of experience in the Sempra family of companies, Matan has held various IT roles before taking on his current position.

_____________________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, September 27 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and we look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2023 11:01
From: Kevin Praet
Subject: Upcoming September (2023) Community Conversation

Hello Asset Health Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2023) Asset Health Analytics Community Conversation. On Wednesday, September 27 at 2:00 PM CT we’ll be joined by Matan Gandelman, Product Owner, Image Analytics Capability at SDG&E who will be leading a discussion around, “SDG&E’s AI-Powered Asset Management & Inspections Reducing Wildfire Risk.”

I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————