Globalization and the emergence of new applications demand accurate correlations between entity records, which have been expressed with different schemas, formats, fields, and attributes. In a private entity, a single view of their customers is essential for Business Intelligence (BI) and more. Identity resolution is also used in applications related to data quality, such as Customer Data Management (CDM) and Master Data Management (MDM). In contexts like national security, it is possible to identify dangerous profiles through screening for patterns, providing real-time visible matches. In the case of financial services, it can identify customers associated with illicit activities such as terrorism, money laundering, and fraud (by conducting background checks). Most developed countries require compliance with Know Your Customer (KYC), Politically Exposed Person (PEP), and Office of Foreign Assets Control (OFAC) regulations. For the healthcare sector, it enables the construction of a comprehensive picture of patient-related information. The capabilities of automated identity resolution are accurate, fast, and scalable, specifically addressing these and other entity matching requirements. Vision.