About
Contributions
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What techniques can you use to balance speed and accuracy in machine learning projects?
I'd offer a complementary perspective. The core of most data science deliveries can be broken down into three critical components, known fondly as the 'Iron Triangle of Data Science': - Problem Definition - Data - Modeling After 20+ years of serving on and leading data science teams, I've observed that the most devastating, unfixable problems derive from mistakes made during the Problem Definition phase. As data scientists, we must avoid the temptation to jump immediately to the 'fun' Data and Modeling components after a cursory, often mistakenly high-confidence interrogation of the underlying mission or business Problem. This is a mistake. Dive deep into your client's or end user's true needs. You must get this correct.
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How can you manage tight deadlines with clients in Statistics?
For leaders, when you are staffing your team, look for professionally resilient practitioners. Of course they must bring the requisite technical skills, be able to communicate and collaborate, etc. But if they crumble or freeze when faced with an unexpected problem before a deadline, both your delivery and practitioners will suffer. Same recommendation for aligning practitioners to workstreams. Carefully consider the dynamics of the work. If there is a reasonable risk of late-breaking requirements or other last-minute changes, do what you can to align your most resilient people against the task. Resist the temptation to staff that exquisitely qualified but shaky practitioner. Always be setting your staff and delivery up for success.
Activity
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How can Government agencies and private sector organizations collaborate more effectively to build resilience against AI-related risks? Excited to…
How can Government agencies and private sector organizations collaborate more effectively to build resilience against AI-related risks? Excited to…
Liked by Cary Cox, Ph.D.
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Great news on the release of Senate Majority Leader Schumer, Senator Heinrich, Senator Rounds, and Senator Young's AI "road map" that focuses…
Great news on the release of Senate Majority Leader Schumer, Senator Heinrich, Senator Rounds, and Senator Young's AI "road map" that focuses…
Liked by Cary Cox, Ph.D.
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Listen to the latest episode of #NatSecTech to hear a conversation between Palantir Technologies’ Shannon Clark and Jeanne Meserve on how a national…
Listen to the latest episode of #NatSecTech to hear a conversation between Palantir Technologies’ Shannon Clark and Jeanne Meserve on how a national…
Liked by Cary Cox, Ph.D.
Experience
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Deloitte Consulting
Education
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George Mason University
Licenses & Certifications
Publications
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Hyperspectral/Spatial Detection of Edges (HySPADE) Analysis of Mineral Assemblages and Linear Features at Cuprite, Nevada U.S.A.
The American Society for Photogrammetry and Remote Sensing (ASPRS) 2009 Fall Conference
Projects
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Computer Vision Model Development for NGA Maven, Formerly Known as Project Maven
Create and field computer vision models for electro-optical imagery in support of the Department of Defense and National Geospatial-Intelligence (NGA) missions. Training on both NTM and commercial imagery sources, my teams build world-class computer vision models for rapidly and accurately detecting military targets in unclassified and classified imagery.
Most recently, my teams delivered the two highest performing NGA Maven models for NTM imagery, and we expect those models to be…Create and field computer vision models for electro-optical imagery in support of the Department of Defense and National Geospatial-Intelligence (NGA) missions. Training on both NTM and commercial imagery sources, my teams build world-class computer vision models for rapidly and accurately detecting military targets in unclassified and classified imagery.
Most recently, my teams delivered the two highest performing NGA Maven models for NTM imagery, and we expect those models to be fielded in the coming months.
Over the last four years, my teams have consistently delivered models to support a number of real-world missions, including the Ukraine/Russia war, the Afghanistan Noncombatant Evacuation Operation (NEO), and various high-profile conflicts in the Middle East. In each case, our models significantly reduced the timeline for generating imagery intelligence and delivering it to warfighters and decision-makers.Other creators -
More activity by Cary
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There are only 5 days until National Wreaths Across America Day!
There are only 5 days until National Wreaths Across America Day!
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Yesterday, our Co-Founder and CEO Brian Schimpf participated in the Senate AI Insight Forum to help develop a policy framework around artificial…
Yesterday, our Co-Founder and CEO Brian Schimpf participated in the Senate AI Insight Forum to help develop a policy framework around artificial…
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Consider taking some quiet time this week to think about..."retirement" or "the fourth quartile of your life." Join me as we explore the power of…
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