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, maintaining, replacing, upgrading, and removing Interactive Digital Kiosks.

Bid Classification: Services Bid Type: Request for Proposals Bid Number: RFP 18202305 Bid Name: INTERACTIVE GUEST EXPERIENCE OPPORTUNITY Bid Status: Open Bid Closing Date: Wed Jun 21, 2023 12:00:00 PM (EDT) Question Deadline: Wed Jun 7, 2023 12:00:00 PM (EDT) Electronic Auctions: Not Applicable Language for Bid Submissions: English unless specified in the bid document Submission Type: Online Submissions Only Submission Address: Online Submissions

Purchase of an Interactive Health Literacy Portal or similar commercial solution will enable the program to provide safe, effective, and evidence-based instruction that our workforce has come to expect and rely on to maintain their wellbeing, and ultimately productivity wherever their workplace is located. The following attachment will provide additional information: RFI IHLP pdf

Advertisement for Request for Proposals Project Name: Interactive Payment Project Number: RFP #: 298- IVRRFPFY23 Pursuant to the City of Asheville's Procurement, Purchasing and Contracting Policy, Proposals will be received by the City of Asheville for the following: Description of Work: The City of Asheville seeks an Interactive Voice Response (IVR) system which would provide at a minimum, acceptance of debit/credit cards and e-check payments.

The DeSoto County School District will conduct a rebid for Interactive Panels for the 2023-2024 school year in the following manner: Bid #202-PANELS-DCS24 Unpriced bid proposals will be accepted until 9:00 am, CST, June 8th, 2023, in sealed envelopes at t Number: 3170025219 Smart Number: 10812-20230518133548 Desoto Tech RFx Type: MDA - RFx Advertised Date: 05/30/2023 12:00 PM Submission Date: 06/20/2023 9:00 AM Major Procurement Category: COMMODITIES

Do note that this program is domain agnostic and white papers detailing work in other domains including strategic and tactical air, space, cyber, etc. will be entertained.The Interactive Learning for Mission Planning (ILMP) program will test the merit of Interactive Learning (IL) when applied to AF planning problems, and will develop the software system required to prove the applicability of IL to this problem space.

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