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Automation Anywhere Licenses

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Food and Drug Administration is seeking Automation Anywhere licenses to implement advanced analytical methods and tools designed to enhance risk analytics for strategic priority-setting and decision-making. This initiative focuses on improving inspections, training, regulatory cooperation, and surveillance by adopting new approaches to aggregate and analyze diverse information sources. The goal is to identify emerging trends and risks through comprehensive assessments of existing platforms. The scope of work includes utilizing data mining of intelligence-related sources to perform statistical analysis of correlations and threats. Furthermore, the project aims to integrate intelligence-based threat analysis directly into the risk-based allocation of resources for testing and inspections. This forecast is categorized under NAICS code 541519 and is managed by the FDA's CDER acquisitions team.

General Info

FDA seeks Automation Anywhere licenses for advanced risk analytics and resource allocation tools.

Agency

Food and Drug Administration → Food And Drug Administration

NAICS

541519 - Other Computer Related Services

Place of Performance

USA

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Organization & Contact Information

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AgencyFood and Drug Administration → Food And Drug Administration

Contacts2 people available

OfficeN/A

Organization / AgencyFood and Drug Administration → Food And Drug Administration

Office AddressN/A

Contacts

Cder Acquisition Liaison

contact@example.gov

To Be Determined To Be DeterminedContracting Officer

Full Description

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Implement licenses to define analytical methods, tools to foster improved utilization of risk analytics to inform strategies, priority-setting, and timely decision-making in the areas of inspections, training, regulatory cooperation and surveillance. Adopt new approaches to better aggregate, analyze multiple sources of information to fully identify risks and emerging trends based on comprehensive assessments of existing information platforms. The developed approach should include data mining of intelligence related sources to enable statistical analysis of correlations and threats. As an extension, integrate intelligence-based threat analysis into the risk-based allocation of inspection and testing resources.

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