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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.

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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. This initiative aims to improve strategy formulation, priority setting, and decision making across inspections, training, surveillance, and regulatory cooperation. The project focuses on adopting new methodologies to aggregate and analyze diverse information sources, utilizing data mining of intelligence-related data to identify emerging trends, correlations, and threats through comprehensive statistical assessments. A primary objective of this effort is to integrate intelligence-based threat analysis directly into the risk-based allocation of resources for testing and inspections. By leveraging these automated tools, the agency intends to optimize its operational efficiency and strengthen its ability to identify and mitigate risks through a more data-driven approach to regulatory oversight.

General Info

FDA seeks Automation Anywhere licenses to enhance risk analytics and resource allocation efficiency.

NAICS

541519 - Other Computer Related Services

Place of Performance

USA

Set-Aside

NONE

Documents

0

No documents 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
Office AddressN/A
Contacts
Cder Acquisition Liaison
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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