Changelog - Release Notes

Version (April 22, 2024)

All Editions New – EntityAI Auto Mapping configuration Editor
All Editions New – EntityAI Possible Duplicate & Relationship additional options
All Editions New – EntityAI  Load & Save individual mapping files

Version (April 1, 2024)

All Editions New – Entity Resolution (Entity AI) module featuring:

        • Entity-Centric Learning – WinPure ER will retain history and attribute variations for each entity as it resolves new records against existing entities e.g., learning every name, address and phone variation. Over time, based on the accumulated variations, the software learns nicknames, alternative email addresses, common typographical errors, etc., including intentionally fabricated information. WinPure ER uses its entity-centric learning when comparing records during ER. Entity-centric learning is what allows it to make higher quality ER decisions than most other systems that use the more popular, but very basic, record-to-record matching. This is critical for catching clever criminals.2.
        • Global name recognition – IBM Global Name Management comparison technology is built into WinPure ER software. This culturally-aware name library, pretrained on 800M global names, was created over decades by a team of linguists at a cost of tens of millions of dollars.  WinPure ER immediately understands synonyms e.g., Bob and Robert or Elizabeth and Liz, and transliterations e.g., Mohamed, Mohammed, Mhd and dozens of other spellings. It also resolves names across different alphabets and scripts, e.g., Arabic, Mandarin and Roman.  We have a similar function in the Knowledge base Library which cover 950 names, so this is quite significant!
        • Global address comparison – WinPure ER uses global address parsing and normalization, to assess address similarity with uncanny precision and wrapped with custom logic that provides exceptional matching accuracy and eliminates the need to pre-parse address data prior to loading.  Although this is tied into the EntityAI, we will be able to use this eventually on the Split/Addresses, to replace our current US address split feature.
        • Anomaly Detection – WinPure ER actively tracks feature statistics in real time as it resolves and relates entities. Based on the information it has seen to date, the software keeps detailed statistics about its entity repository, e.g., it contains approximately 150M males, 500 people with the same DOB, and exactly seven people who have lived at 123 Main Street.

All Editions New – Data Matching engine v2, featuring enhanced and faster data matching.
All Editions New – Data Matching rules improvment
All Editions New – Global Address Parsing: This new feature splits global addresses into the following component parts.

        • house: venue name e.g. “Brooklyn Academy of Music”, and building names e.g. “Empire State Building”
        • category: for category queries like “restaurants”, etc.
        • near: phrases like “in”, “near”, etc. used after a category phrase to help with parsing queries like “restaurants in Brooklyn”
        • house_number: usually refers to the external (street-facing) building number. In some countries this may be a compount, hyphenated number which also includes an apartment number, or a block number (a la Japan), but libpostal will just call it the house_number for simplicity.
        • road: street name(s)
        • unit: an apartment, unit, office, lot, or other secondary unit designator
        • po_box: post office box: typically found in non-physical (mail-only) addresses
        • postcode: postal codes used for mail sorting
        • suburb: usually an unofficial neighborhood name like “Harlem”, “South Bronx”, or “Crown Heights”
        • city_district: these are usually boroughs or districts within a city that serve some official purpose e.g. “Brooklyn” or “Hackney” or “Bratislava IV”
        • city: any human settlement including cities, towns, villages, hamlets, localities, etc.
        • state_district: usually a second-level administrative division or county.
        • state: a first-level administrative division. Scotland, Northern Ireland, Wales, and England in the UK are mapped to “state” as well (convention used in OSM, GeoPlanet, etc.)
        • country: sovereign nations and their dependent territories, anything with an ISO-3166 code.

All Editions New – Improved licencing across all editions
All Editions New – Updated loading screen, registrations & Logo