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AI-powered Entity Resolution
Overall Priorities Jan - Mar 2024
Data Model for Auto-Documentation of Legacy Data Source
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AI-powered Entity Resolution

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5. ML-powered Data Quality (Standardization, Cleansing, Missing Values)

Objective:

Improve data quality & reduce compute required for subsequent matching & entity resolution tasks


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Dirty, non-standard data, missing values etc.

Data Quality
Data Cleansing
Data Standardization
Missing Values Imputation
Augmentation using External/ 3rd Party Data Sources
Provide summary and details to user via UI for Cleansing & Standardization.
Show select examples by default, but allow user to review the entire cleansing report
1.a & 1.b are priorities
2.a is a priority
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Data Sources for Data Quality:

BIDM
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