5 Strategies to Accelerate AI and Data Analytics Adoption Across DOD

Our world is digital. More than 300 million terabytes of data are created, collected and stored every day. Imagine a stack of books stretching from the Earth to the Moon and back, then do that 40,000 times. We are talking about that much data.

In navigating this digital landscape, the Department of Defense is on the precipice of transformation. By embracing advanced technologies, fostering a culture of data accessibility and collaboration, and ensuring staff have a fundamental understanding of machine learning, the Department of State is poised to unlock the full potential of data analytics and artificial intelligence. In doing so, it will enhance his ability to make well-informed decisions, adapt to evolving challenges, and ensure our nation’s defense in an increasingly data-driven world.

The vast amount of data at our fingertips is both an opportunity and a challenge. Within the Naval Aviation Enterprise, technological advances have resulted in sensors and information collection systems that generate an unprecedented amount of data. While this wave of data has great potential for better understanding the battlespace, it has also created an “information overload” that is now overwhelming the Sailors and Marines tasked with making sense of this data.

To meet this challenge immediately, the State Department must continue to leverage these five strategies:

1. Improve data collection. The DoD’s commitment to investing in advanced sensors and collection platforms that produce data more efficiently is paramount. These systems must be designed with open architectures and industry standards to ensure seamless interoperability and scalability.

2. Overcome data silos. Standardized protocols and a secure, reliable cloud infrastructure should enable comprehensive data sharing between organizations within the DoD. This accessibility is key to promoting the fusion of multi-source information, enhancing collaboration and enhancing confidence in data-driven decisions.

3. Harness the power of data analytics. Data analysis, including both traditional and advanced data science methods, can provide valuable insights by revealing trends, anomalies, and correlations within massive data sets. These analytics can help identify critical patterns and generate actionable insights in real time.

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4. Sift through the deluge of data with automation, AI and ML, and a well-informed workforce. Automation, AI and ML can process, analyze and categorize data faster, reducing the workload of operators. While the competitive approach with experts in industry and academia as an extended part of our team is vital, DoD civilian and military personnel should also have a general understanding of AI/ML concepts. This knowledge enables them to make well-informed decisions about where and when to effectively implement these technologies.

5. Use collaborative frameworks. Collaboration is key to success, particularly as the DoD transitions to centralized processing sites. User-friendly, collaborative tools and visualization techniques facilitate data analysis and understanding among decision makers, even when they are geographically dispersed.

With these strategies in play, the DoD continues to incorporate AI/ML technologies into its operations. A fundamental aspect of this transformation is the development of a more coherent approach to AI and data, with an emphasis on aligning initiatives with reliable and appropriate data sources. In particular, the Naval Aviation Systems Command and associated program offices are at the forefront of these efforts.

NAVAIR is working with the US Navy’s Surface Task Force Hopper to explore placing AI-embedded sensors on aircraft, exemplifying a Navy-wide cooperative framework approach. This effort includes developing a robust data architecture that seamlessly integrates sensor data. In addition, it equips naval personnel with specialized AI and ML tools to manage the significant volumes of data generated daily by both naval vessels and aerial vehicles.

The growing imperative for AI-enabled naval systems to effectively counter evolving RF threats has driven cognitive electromagnetic warfare. At the forefront of this transformative landscape, the Airborne Electronic Attack Systems Program Office is pioneering ground-breaking developments.

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The development of ML models tailored for the EA-18G Growler airborne electronic attack suite enables accurate RF signal classification and enhances EW capabilities against flexible, adaptive and potentially adversarial radar systems.

Another example of AI in action, the Unmanned Aerial Vehicle Program Office is making significant progress with advanced autonomous air-to-air refueling. This cutting-edge effort aims to empower aerial systems with the ability to learn and seamlessly adapt to various unmanned aerial vehicles seeking safe aerial refueling, ultimately enabling fully autonomous refueling.

In order to ensure that the workforce fully embraces these technological advances, NAVAIR offers a training program on the fundamentals and practical applications of artificial intelligence, ML and deep learning. This course equips the workforce to skillfully oversee AI/ML projects and collaborate effectively with industry and academia experts who are instrumental in advancing AI in aircraft and other systems for the DoD.

The Department of Defense has embarked on a transformational journey into the digital landscape, where data analytics and artificial intelligence will shape the future of national defence. As it strategically integrates these technologies into its organization, the State Department will not only adapt to the data-driven world, but thrive in it, protecting America and its allies for years to come.

Cmdr. Justin Letwinsky is the assistant program director for systems and engineering for electronic warfare and chief military advisor for AI/ML for the Naval Air Systems Command. He is an MH-60 pilot with nearly 20 years of experience as a naval officer. The views expressed are those of the author and do not necessarily reflect the views of the Department of Defense or the Department of the Navy.

Read the original at Defence247.gr

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