G lobal issues such as immigration and migration, climate change, humanitarian relief, and critical infrastructure transcend organizational silos. These matters of national criticality and security increasingly span global sectors and national interests. In turn, mission execution is taking on new speed, size, and urgency, which demands an evolution of mission intelligence from an enterprise to an ecosystem approach. Today, federal organizations are operating in a world where data is constantly changing, updating, and converging through new systems—from internet of things (IoT) sensors to physical and digital records. As civilian mission challenges and global crises increase in pace and scale, there is an exponential growth in the complexity and types of data that need to be analyzed to ensure readiness, situational awareness, and decision advantage. Meanwhile, immersive and data-rich capabilities from the gaming world are finding universal applications across all industries, including the government sector. Over time, success will be measured by how effectively organizations use all of their available data and create new value through extended reality, digital twins (page 42), the metaverse (page 49), and other emerging capabilities. A parallel for this major data transformation in the civilian sector is the Joint All-Domain Command and Control (JADC2) strategy within the Department of Defense (DoD). JADC2 is a vast military IoT network—connecting sensors, weapon systems, data centers, and users to make data more accessible and interoperable. Its vision is to accelerate intelligence and decision making so defense organizations can address threats at the speed of relevance, which is a central focus for our nation’s frontline defenses outside of the military, from homeland security to public health. The next age of intelligence will be marked by the rapid collision of data from a global ecosystem and the delivery of immediate insights for trusted outcomes. Three fundamental shifts are necessary for civilian missions to harness large-scale data fusion, bring artificial intelligence (AI) to the enterprise, and bridge the gap between physical and digital experiences. Regardless of their mission area, federal leaders need to integrate AI across all elements of the IT infrastructure, apply data ethics and open standards for trusted decision making, and scale the data infrastructure from cloud to edge. Integrate AI Across All Elements of the IT Infrastructure The National Oceanic and Atmospheric Administration (NOAA) studies the dynamics behind global weather events so it can better predict and prepare for potentially catastrophic events. Later in the publication, our colleagues describe one mechanism that NOAA is building to do this: a digital twin of the earth (see page 42). NOAA will bring together troves of observation data to create an authoritative source that can be trusted from a space and time perspective. The digital twin will be a comprehensive, visualized representation of massive global data, sourced daily from sensors, large satellite imagery, and environmental data from around the globe, underground, underwater, and in space. As data is collected and fused, it can then be visually explored in a spatial and temporal manner. Ultimately, NOAA’s investment will help democratize data that is leveraged for climate intelligence. This digital ecosystem, which allows for continuous data conditioning, assimilation, and fusion, will enable NOAA’s stakeholders and decision makers to explore real-time climate data and understand dynamic environmental forces at work. In the future, the digital twin will be able to simulate and model future events. For example, modeling could be used to understand the potential for precipitation events in parts of the world where malaria spreads from standing water. More important, this information can be translated into preemptive actions rather than purely reactive measures. To make this possible, organizations like NOAA must take advantage of all the data that’s available at the speed of relevance. The next age of intelligence will be marked by the rapid collision of data from a global ecosystem and the delivery of immediate insights for trusted outcomes. The quantity and diversity of this expanding world of data is challenging federal IT and mission leaders to think differently about ecosystem intelligence and push the boundaries of traditional engineering. Traditional analysis techniques have focused on leveraging the power of data through enterprise- and agency-level solutions—siloed from other entities. Today, however, data formats need to be fluid and available for use in any format, from the cloud to the edge, and even in fully disconnected environments. Likewise, legacy infrastructures typically apply analytics and models at the application layer, riding on top of the IT infrastructure. However, AI should be leveraged across all elements of the IT infrastructure to harness the power of DataOps and data fusion at the scale of the mission. VELOCITY | © 2022 BOOZ ALLEN HAMILTON 39
V1. 2023: Velocity by Booz Allen
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