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THE PURPOSE OF THIS PURCHASE ORDER IS TO ACQUIRE COST ESTIMATING DATA FOR INTEGRATION WITH THE OFFICE OF FACILITIES' SOFTWARE. Solicitation ID/Procurement Identifier: 28321323P00050169 Ultimate Completion Date: Mon Sep 30 17:00:00 GMT 2024
Agency Name:National Institutes of HealthDescription:Through this Notice of Funding Opportunity (NOFO), the National Cancer Institute (NCI) along with other participating Institutes encourages submission of applications proposing to conduct secondary data analysis and integration of existing datasets and database resources, with the ultimate aim to elucidate cancer risk and related outcomes (e.g., risk prediction or reduction, survival, or response
S&P MARKET INTELLIGENCE ENTERPRISE DATA FEEDS FIG INSURANCE DATA AND INDEX INTEGRATION CONSTITUENTS Solicitation ID/Procurement Identifier: 9523ZY19P0057 Ultimate Completion Date: Sat Sep 14 17:00:00 GMT 2024
Vimeo, MP4 on AWS) 1.1.10 Configure learning event data exports as needed and integrate with external data stores (e.g. Caliper, xAPI). 1.1.11 Leverage AI (Artificial Intelligence). Group 1.2: Product Engineering Instructions: Please describe your capabilities in being able to provide the following services.
Vimeo, MP4 on AWS) 1.1.10 Configure learning event data exports as needed and integrate with external data stores (e.g. Caliper, xAPI). 1.1.11 Leverage AI (Artificial Intelligence). Group 1.2: Product Engineering Instructions: Please describe your capabilities in being able to provide the following services.
Vimeo, MP4 on AWS) 1.1.10 Configure learning event data exports as needed and integrate with external data stores (e.g. Caliper, xAPI). 1.1.11 Leverage AI (Artificial Intelligence). Group 1.2: Product Engineering Instructions: Please describe your capabilities in being able to provide the following services.
Data Integration: Bringing together data from various sources (e.g., drawings, manuals, operating data, computer models) to enable the creation of comprehensive system architecture and engineering analysis models can be challenging due to differences in format, structure, and semantics. Effective integration strategies are necessary for ensuring model consistency and accuracy.5.
