Introducing Nearmap for Post-catastrophe Response
Post Catastrophe Imagery and AI-derived property damage and condition data unite to help insurers process customer claims more efficiently.
Post Catastrophe Imagery and AI-derived property damage and condition data unite to help insurers process customer claims more efficiently.
Nearmap AI provides unprecedented parcel and property insights to improve decision making and accelerate workflows. Prefill forms, improve underwriting and risk models, and monitor changes for renewals and claims processing. Nearmap AI provides access to hundreds of artificial intelligence (AI) derived feature attributes.
Nearmap powers users with the ability to derive even greater insights about their areas of interest with today’s release of Nearmap AI: Generation 5 (Gen 5). All of the data layers in Nearmap AI have been enhanced by the more powerful and accurate AI and machine learning (ML) algorithms used to develop the Gen 5 data layers.
Nearmap AI features nearly 50 data layers, organised into a series of 13 AI Packs, to provide insights about roof features and conditions, vegetation, and property improvements like swimming pools and solar panels. Nearmap AI provides the flexibility and versatility to serve different needs of an organisation. The continually updating imagery gives confidence that parcel and property data is always up-to-date while multiple vintages allow for analysing changes over time.
Nearmap AI Gen 5 features new and updated AI Packs:
The data layers in MapBrowser have already been upgraded to return Gen 5 data. The Nearmap AI Feature API will return Gen 5 responses by default for any surveys where Gen 5 was processed. API calls can be customised to return Gen 4 data to assist with migration workflows. Gen 5 data is available for surveys captured after July 1. Select surveys captured prior to July 1 will be processed for Gen 5. Gen 4 data is available for surveys captured before August 15. This technical blog post, Migrating Data Models to Nearmap AI Generation 5, provides some recommendations for updating models and algorithms to Gen 5. Customers can also contact their account representative for assistance.
While we make every effort to ensure the accuracy of the data and analysis in blog articles, this information is not to be relied on as professional advice. No endorsement or approval of any third parties or their advice, opinions, information, products or services is expressed or implied by any information in the blog. Should you seek to rely in any way whatsoever upon this content, you do so at your own risk.
