Reltio, Inc.

Manish Sood

Martin Franklin

Jordan Hardy

Alexander Huitric

Dmitry Blinov

Michael Burke

Robin Sylvester

Mike Frasca

Nilesh Mishra

Mohammad Naveed

Among other techniques, techniques for providing feedback associated with personally identifiable information (PII) to a customer that is a member of an industry are described. The feedback includes a comparison with dynamic industry state. A system utilizing these techniques can include a continuous initially personally identifiable information (IPII) destruction engine; an IPII feature extraction engine coupled to the continuous IPII destruction engine; a bit labeling engine coupled to the continuous IPII destruction engine; a classified and interpreted IPII attribute instance bits datastore coupled to the bit labeling engine; and an auto-meta comparator feedback engine coupled to the classified and interpreted IPII attribute instance bits datastore. A method utilizing these techniques can include subdividing into affixes initially personally identifiable information (IPII) attribute instances of a first customer of a plurality of customers that are part of an industry; outputting bits corresponding to the IPII attribute instances; attaching labels to the bits, which are stored with metadata; and providing feedback to the first customer for the IPII attribute instances along with a dynamic auto-metadata comparison relative to dynamic industry state of the industry, wherein IPII attribute instances of the plurality of customers are used to update the dynamic industry state.

Personally identifiable information comparison to dynamic industry state

Among other techniques, techniques for dynamic survivorship, cross-tenant matching, and lineage entity identifier (EID) promotion are described. A system utilizing these techniques can include an industry-agnostic datastore, an industry-focused datastore, a tenant datastore, a new dataset datastore, a new dataset onboarding engine, an EID assignment engine, an object registration engine, a primary EID selection engine, a matching engine, a merging engine, a survivorship engine, a cross-tenant matching engine, and a lineage EID promotion engine. A method utilizing these techniques can include new dataset onboarding, EID assignment, object registration, primary EID selection, matching, merging, survivorship, cross-tenant matching, and lineage EID promotion.

Entity id lineage persistence and cross-tenant durability

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Seattle, WA, United States of America

Manish Sood