Inactive

Description: 1.0 Introduction Request for Information. This is a Request for Information Only (RFI). Army Contracting Command (ACC) – Aberdeen Proving Ground (ACC-APG) in support of the Program Execut... Description: 1.0 Introduction Request for Information. This is a Request for Information Only (RFI). Army Contracting Command (ACC) – Aberdeen Proving Ground (ACC-APG) in support of the Program Executive Office Intelligence, Electronic Warfare, and Sensors (PEO IEW&S), Project Manager Intelligence Systems and Analytics (IS&A), is conducting Market Research, via a Product Demonstration, to identify commercial items to satisfy current IS&A requirements pertaining to United States (U.S.) Army’s IS&A Intel Apps – Weather Operational Effects. The Government invites all business and academic organizations to respond to this RFI notice. This RFI is issued solely for information and planning purposes – it does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future. Government may elect not to proceed with a procurement after the results of this RFI. Solicitations are not available at this time. Requests for a solicitation will not receive a response. This notice does not constitute a commitment by the United States Government to contract for any supply or service whatsoever. This RFI is not an authorization to begin work, and the Government will not pay any costs that contractors may incur in response to this RFI. All information submitted in response to this announcement is voluntary. Participation in the Product Demonstration is also voluntary. The United States Government will not pay for information requested nor will it compensate any respondent for any cost incurred in developing information provided to the United States Government. Additionally, the Government will not pay any costs resulting from attendance or participation at the Product Demonstration, which is for market research purposes only. The Government won’t award any contracts as a result of the Product Demonstration, which is for market research purposes only. Failure to respond to this RFI will not preclude contractor participation in any future RFP or procurement, if any is issued. 2.0 Intel Apps Program Background Intelligence Applications (Intel Apps) is the next generation of Army Multi-domain Intelligence (MDI) that will replace select legacy DCGS-A capabilities. It is software-centric and consists of the following software capability inserts: The primary focus of this RFI revolves around the Weather Operational Effects application. It is important to note that Intel Apps will leverage the Command Post Computing Environment (CPCE) architecture and infrastructure to rapidly and seamlessly ‘plug-in’ intelligence applications to meet the warfighter’s needs. Intel Apps will be synchronized with the CPCE schedule and be integrated into existing CPCE architecture & infrastructure to facilitate easy/rapid App releases, enhanced information sharing, and access between Warfighting Functions without the legacy push and pulled messaging and data interactions. Implementation of Intel Apps within this integration process also provides a solid foundation supporting emerging Artificial Intelligence and Machine Learning advanced analytics capabilities for years to follow. Generation of requirements supporting each of the Intel Apps (in this case, pertaining to the Weather Operational Effects Application) was initiated by ACM – Foundation in May 2019. The Intel Apps requirements trace is based upon enduring and doctrinally attuned intelligence cycle and interrelated intelligence battle staff processes and work flows in concert with Intelligence Warfighting Function (I-WfF) tasks. In addition, select requirements are aligned to current DCGS-A CD1 and emerging DCGS-A CD2 capabilities, broadening the full measure of intelligence capabilities available to the CPCE user, while enhancing the ability to provide a timely and succinct common intelligence picture at echelon. There exists some potential for mid/far-term migration to other computing environments (e.g., Mounted Computing Environment (CE), Mobile Handheld CE) as future tactical cloud construct capabilities are implemented. 3.0 Weather Operational Effects Intel App Background The Weather Operational Effects App mutually supports the other Apps, essentially taking weather effects from the initial weather effects-related conditions in support of mission planning, to an evolved perspective in which the App provides weather dynamic change visualization – mapped to a unit’s footprint and the resultant implications as operations unfold. Some important facts about the Weather Operational Effects Intelligence Application: The application needs to support both Machine Learning (ML) processing of weather data as well as provide a User Interface (UI) for the Air Force Weather Forecasters to analyze and adjust model data as needed. The application includes the authoritative United States Air Force (USAF) Weather Model (called GALWEM – Global Air Land Weather Exploitation Model). The application must operate in a disconnected environment where data must be retrieved and stored to support multiple echelons. The application must be capable of segregating operational weather data from climatology or simulated data. The application must render tailorable forecast products that are focused on the planning and operational steps by specific mission variables and weather parameters (e.g., temperature, humidity, pressure, wind, etc.). The application must provide weather effects and impact output in tabular and graphical Go - Marginal - No-Go format fitted to the operational area of interest. The application must provide effects and impacts to both friendly and threat systems and operations. As shown on the following page, the application must provide a weather model, weather climatology, and weather product acquisition and generation capability that will enable the user to specify mission variables (e.g., geographic area, specific time period) and view what weather model data is available on the enterprise. 4.0 RFI Response Requirements 4.1. All interested participants should provide your company (or academia) CAGE Code to the POC email address that was stated earlier in this RFI. The Intel Apps Team will provide you with a detailed MS Excel Spreadsheet (considered Controlled Unclassified Information, or CUI) that outlines specific Weather Threads (e.g., Weather Data, Weather Impacts, Weather Forecasting, Intelligence Preparation of the Battlefield, etc.), sub-tasks, step descriptions, and references to Army requirements. All Government responses will be made as soon as possible. 4.2. All interested participants should provide technical details about their weather application demonstration. Details include how the application is deployed (e.g., on a hardware laptop, cloud, etc.), your application’s resource requirements (e.g., CPU usage, memory requirements, storage constraints), and any other pertinent information about the application’s deployment strategy. 4.3. All interested participants should respond to each row within the MS Excel Spreadsheet (provided in step 4.1 above) on how they would satisfy each step. Please note that it is acceptable if your capability cannot provide a solution to all steps. This is strictly market research to see what is commercially (or academically) available. 4.4. All interested participants may respond if they cannot demonstration a complete solution to the spreadsheet provided in 4.1. Partial capabilities are acceptable. 4.5. All interested participants should thoroughly read through the Government-provided MS Excel Spreadsheet attachment in 4.1. If you believe your application can meet some or all of these threads, please email the Intel Apps team to the POC email address that was stated earlier in this RFI. We will schedule you for a 2-3 hour in-person or virtual demonstration (at your choice). The Intel Apps laboratory is physically located in Belcamp, MD.