Analytics, Indexing, and Anomaly Detection for Data Management on SQL Server

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2021-11-01 (day precision)Source: 11/01/2021 00:00:00

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Information Technology

Operational functions

Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Predictive analytics, automated indexing, and anomaly detection in data management and queries.

Expected benefits

Efficiency and Risk Reduction

System outputs

SQL Server incorporates AI for predictive analytics, automated indexing, and anomaly detection in data management and queries.

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

GSS

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Microsoft

Vendors (standardized)

Microsoft

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

This is a subscription service from a third-party vendor and confidential business information of this nature is not available.

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported