Read about our perspectives on data intelligence.
In many defense circles, the phrase "the right data" gets thrown around like an objective commodity waiting to be collected. If one spends enough time inside operational environments (e.g. unmanned maritime systems or border-security command centers), you’ll see a different reality emerge.There is no single "right" dataset. There is only the right data for your mission, your vantage point, and your decisions.This distinction matters more than ever. Defining the right data up front—computationally, not just verbally—pays massive dividends in speed, clarity, and relevance.
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During the Global War on Terror (GWOT), U.S. defense and intelligence operations achieved something unprecedented: near-total visibility. Drones, persistent ISR, satellite coverage, wide-area sensors, and more meant we could see almost everything, almost everywhere, almost all the time.By any reasonable assumption, that should have made us smarter. Instead, it made us dependent.
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Every year, data collection methods and hardware get more advanced and more accurate. Agencies and organizations alike race to deploy them.
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Every organization has been buffeted by a relentless flood of data, whether from automated sensors and enterprise software or individual customer touchpoints and digital transactions.
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Every day, over 400 million terabytes of data are produced worldwide. Your organization doesn’t need more of it. You just need better tools to understand your data.
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Remember about 20 years ago when digital transformation promised to put an end to data silos? Today, studies put the global drag from siloed, poor-quality, and hard-to-reach data at roughly $3.1 trillion a year, while knowledge workers burn around 12 hours each week just chasing data—locating it, reconciling versions, and asking for access.
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See how chat-based queries + mission-derived context + AI governance eliminates the tradeoff between speed and accuracy with IBIS™.
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