Abstract: Among other techniques, techniques for machine learning-based entity resolution are described.

Abstract: 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 EID assignment engine, a progressive stitching engine, and a data item update engine. The progressive stitching engine can be at least conceptually characterized as comprising a data point onboarding subengine, a data point registration subengine, a data point matching subengine, and a data point merging subengine. A method utilizing these techniques can include assigning a data item EID to a data item, onboarding a data point, assigning a data point EID to the data point, matching the data point with the data item in a multitenant EID lineage-persistent relational database management system (RDBMS), merging the data point with the data item to create a merged data item, and changing the data item, triggering survivorship and lineage EID promotion rules.

Abstract: Obtaining a unified data model, wherein the unified data model provides a logical view of a plurality of data structures of a computing platform, wherein the computing platform is in communication with a plurality of cloud service providers that each provide respective storage services for the computing platform. Providing an abstraction layer, wherein the abstraction layer maps respective attributes of the unified data model to corresponding attributes of each of the plurality of cloud service providers. Selecting, by the abstraction layer, a first storage scheme of a first cloud service provider of the plurality of cloud service providers. Receiving, from a user, a first input.

Abstract: 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.

Abstract: 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.

Abstract: 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.