Lauren Knausenberger, Chief Transformation Officer, U.S. Air Force 2020 Data Cloud Summit

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Headquarters U.S. Air Force
The Edge to AI

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What’s the urgency?
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“AI is far more dangerous than Nukes.”
- Elon Musk
“Whoever becomes the leader in this
sphere will become ruler of the world.”
- Vladimir Putin

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What not to do…

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Algorithms Developed = 130
Downtime eliminated =
90% per event
Exit Door Savings = $1.25M
Lives Saved = 1 Crew
Peace of Mind = Priceless
AI in the DoD: Use cases

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Multi-Domain Operations

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AI vs Human – Who makes the call?
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Epic Battle – Edge vs Cloud
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Best for:
• Making inferences from a trained algorithm.
• Instant decision making is required
(milliseconds matter)
• PII / Sovereignty Issues
• Example: Automated vehicles, MDO
decision making
Best for:
• Training complex algorithms using massive
data
• Ease of updates
• Not a crisis if we have to wait a few minutes
• Example: Medical diagnosis

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What if we do both?
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Use the Cloud to:
• Training complex algorithms to educate the
entire fleet
• Store massive data
• Correlate and share data about traffic and
hazards
Edge Capability to:
• Make local decisions – instantly
• Collect and share data with the cloud
• Grab regular updates
Create local networks to:
• Share local information
• Future: Detect other cars and work together to
avoid hazards

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Terminator: The Story Never Told

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Maslow’s hierarchy of technology needs
Connectivity / Network
Cloud/Edge Computing
Meaningful Data
Sensor Net / IoT
AI/ML stack
“2020 is the year of data.”
- Air Force CIO, Bill Marion

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New partnerships
Your
Company
Goes
Here

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THANK YOU!
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