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A "Harlow Report" From May 08, 2023
11 Ways to Pinpoint a User’s True Location
In this post, I delve into various methods for predicting user location and their effectiveness while considering the importance of user privacy.
Determining a user's true location, even when behind a proxy (more on
proxy piercing here
), plays a crucial role in fraud detection and prevention. For example, you may need to identify the real location due to:
- Stolen identity to open a bank account
- Make discounts available to users from specific countries
- Restricting access from certain countries due to regulations
Read full story at Security Boulevard…
Now back to 2024
6 Ways Location Data Gives Retailers a Competitive Edge
How geocoding and reverse geocoding empower online and in-store channels
Consumers naturally have different buying habits and reasons for purchasing a product or service, especially when taking their demographics and geographies into consideration. In short, different people in different countries require content that speaks directly to their disparate needs. While seemingly simple in theory, it can be challenging to accomplish. That said, when done correctly, retailers can obtain the most optimal conversion rates.
… Leveraging geocoding and reverse geocoding — or taking an address given as latitude and longitude and converting it into real verified addresses and other associated properties of that address — is desirable and necessary to make real-time practical business decisions.
Read full story at CSA…
China Warns Security Threats From Foreign Geographical Information Software
China's Ministry of State Security has announced findings that foreign geographic information software could jeopardize classified and sensitive data …
In an article posted on its official WeChat account … the ministry disclosed investigative results stating that geographic information system software from abroad was used to collect data, including some related to state secrets, “corresponding to a serious threat to China's national security.”
… Although it does not provide information about the entities blamed or identify certain Chinese companies affected or targeted, the government says that the perpetrators violate highly precise geographic information data, allowing a three-dimensional geomorphological mapping of certain areas in the transportation, energy, military and other important sectors, which could open up gaps to threats.
Read full story at VOi…
FCC Fines Major Carriers for Selling Customers’ Location Data
The major wireless carriers (AT&T, Verizon, Sprint, and T-Mobile) were fined nearly $200 million dollars for “illegally sharing access to customers’ location data” on April 29, 2024. These fines are the conclusion to an investigation and regulatory actions dating back to 2018.
These fines also highlight one of the most public wins of the FCC’s Privacy and Data Protection Task Force which was established in 2023. ...
The investigation started in 2018 when New York Times article highlighted a “location-finding service” operated by Securus. Securus is a provider of communication services to correctional facilities. Securus was allowing a Missouri sheriff to use the service to track numerous individuals. The Sheriff was doing so by falsifying documents when submitting his requests for location data. Securus would “immediately provide the requested location information (regardless of the adequacy of the uploaded document).”
This is where the problems start for the carriers.
Read full story at TCPA World…
geothinQ Rebrands to Latapult
geothinQ rebrands to Latapult, reflecting the company’s dedication to meeting evolving mapping and customer needs.
“Our new name and look symbolize our commitment to innovation and excellence in geospatial technology. At Latapult, we are dedicated to offering the most comprehensive land data and top-notch collaboration tools to power decision-making. Our technology is the future of site selection and evaluation.” ... Christopher Nichols, general manager of Latapult
Read full story at LAtapult…
Text SAM: Extracting GIS Features from Free-Form Text Prompts
Segment Anything Model (SAM), a state-of-the-art large language model is making waves in the realm of image segmentation. SAM offers precise delineation of object boundaries in images, particularly distinguishing objects like ships or yachts against complex backgrounds such as water bodies.
While SAM excels in this domain, its application in Geographic Information System (GIS) tasks presents a notable drawback. Although it accurately classifies image pixels, it fails to retain vital information about object classes or types.
In a complex scene with buildings, roads and trees, SAM segments each object, generating distinct masks for each instance but doesn’t store any data regarding the object class. Consequently, extracting specific information, like masks corresponding to trees or buildings, becomes impractical from the classified raster output. This limitation renders SAM incompatible with GIS workflows, as the lack of informative data impedes the extraction of desired masks.
Read full story at Esri ArcGIS Blog…