Databricks (Forecasting, predictive analytics, data/statistical analysis)

Overview

Development stage

PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.

High-impact designation

Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact

Impact justification

Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.

Start date

2023-04 (month precision)Source: 04/2023

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Law Enforcement

Operational functions

Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Client-side and SaaS products that contains fundamental modeling, AI and machine learning techniques for predictive modeling, natural language processing, computer vision and deep learning. Design and develop sophisticated economic models to analyze markets.

Expected benefits

Provides ATR with the ability to analyze, summarize, synthesize, and manage various data sources and data formats to support economic and statistical analysis of corporation and market conditions. ATR relies heavily on data analytical tools to support micro - and macro-level analysis.

System outputs

predictive model outputs statistical analysis natural language processing text analytics forecasting predictions optimization recommendations risk analysis scores anomaly detection customer segmentation groupings decision tree analysis paths

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Redacted for cybersecurity purposes.

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)

Databricks

Vendors (standardized)

DDatabricks

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

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.

Training and evaluation data

The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.

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