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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 Department of Education is seeking to establish a stable of qualified vendors to identify NCES policies, processes, and products that can be enhanced through artificial intelligence. The primary objectives of this initiative are to increase operational efficiencies, reduce costs, improve accuracy, ensure data security, and enhance the overall customer experience. Under this forecast, approved vendors will have the opportunity to bid on specific pilot programs to develop and produce proofs of concept. These pilots will serve as the testing ground for AI solutions, with the ultimate goal of evaluating their effectiveness for potential scaling and full-scale implementation across the organization.

General Info

Education Department seeks AI vendors for pilot programs to improve NCES operational efficiencies.

Agency

Department of Education → Education, Department of

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

DC, USA

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Timeline

PostedSep 24

forecast

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Organization & Contact Information

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AgencyDepartment of Education → Education, Department of

Contacts2 people available

OfficeN/A

Organization / AgencyDepartment of Education → Education, Department of

Office AddressN/A

Contacts

Charles Fields

contact@example.gov

Small Business Office

contact@example.gov

Full Description

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Create stable of potential vendors who can identify NCES policies, processes and products that would benefit from AI to create efficiencies, reduce costs, increase accuracy, protect data security and improve customer experience. The contract would offer pilot programs to stable of approved vendors who would bid on pilots and produce proofs of concept for testing, potential scaling and implementation.

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