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    Home»AI»AF Leverages AI for Data Analysis > Air Force > Article Display
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    AF Leverages AI for Data Analysis > Air Force > Article Display

    eduardo_alves38By eduardo_alves38May 31, 2023Updated:May 31, 2023No Comments3 Mins Read
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    AF Leverages AI for Data Analysis > Air Force > Article Display
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    Arlington, Virginia (AFNS) —

    In an effort to digest and rapidly analyze the decision-making process, Air Force Digital Operations Directorate (A3X) Headquarters has developed artificial intelligence-based software for everyone. air force special code Better explore and predict operational outcomes.



    In tomorrow’s operational environment, air personnel today need to be armed with the most accurate and up-to-date information they can act quickly in real time. The Headquarters Air Staff has developed his six software programs for career areas that use AI to analyze data.



    George Forbes, Director of the HAF Digital Operations Directorate, noted the dramatic benefits of making decisions more accurate, more predictable and more accurate.



    “You can move from spending time on manual tasks like entering information into a computer to cognitive methods where you can analyze data because the computer does a lot of the heavy lifting.” George Forbes, Director, Digital Operations Directorate, HAF



    In addition to data management, AI software can calculate predictions based on equations and programming, depending on the types of data available. Whether the predicted results are correct or not, the software can learn and adapt to produce more accurate results in future calculations.



    “It could capture a variety of data, such as predicting how many people are in the Air Force, what their behavior is based on gender or age, or other demographic categories. [their behaviors] in certain situations. For example, we can predict their decision to stay or leave the Air Force,” Forbes said. “We utilize the past behavior of our troops to train our models and predict their future behavior. Specifically, he uses Recurring Neural Network Methodology, a high-end AI method. doing.”



    The software adapts to all AFSCs and can interpret different situations. From time-of-flight tracking to locating equipment, this new application could replace the cumbersome applications and software systems in use today with something more user-friendly for beginners. Past applications can be ported to other asset management types of work, but not necessarily to AI.



    “When you build an application that manages equipment and such, you want it to live. This is where standardized application development systems come into play,” Forbes said. “We can build them at our current base. Once the PCS is complete, [Permanent Change of Station], you can still use the same process. ”



    The overarching goal of the new software system is to provide rapid access for leaders to interpret data and make impactful decisions.







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