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Air Force Data Strategy

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Presentation on theme: "Air Force Data Strategy"— Presentation transcript:

1 Air Force Data Strategy
Maj Gen Kim Crider Air Force Chief Data Officer This Briefing is UNCLASSIFIED

2 The Need to Leverage Data
War is ninety percent information. Napoleon Bonaparte, French Military and Political Leader Whoever Leads in AI will Rule the World. Vladimir Putin WISDOM Potential UNDERSTANDING Possible KNOWLEDGE Probable INFORMATION Providence DATA Pedigree VISUALIZE ACCESS UNDERTAND LINK TRUST “We have moved from a War of Attrition to a War of Cognition.” General David L. Goldfein, Chief of Staff, United States Air Force

3 Challenges to Accelerating the OODA Loop
Hard to Find Stovepipe Systems Limited Metadata Multiple Formats Interfaces Not Interoperable Serial Data Sharing Lack of Standards Cumbersome Process to Request Access Incomplete, Poor Quality Data “Data is the New Oil” Manually Intensive Integration Over 80% of the Time is Spent Prepping the Data Before it Can Be Used

4 AF Data Strategy Transform the AF to Leverage Data as a Strategic Asset Register Authoritative Data Sources Catalog Information Establish Authorized Access Measure Trustworthiness & Timeliness; Apply Protection Illustrate Data Relationships and Meaningful Metadata Apply Standards & Open APIs Frictionless Interoperability Data Management & Architecture Data Assessment & Enablement Data Advocacy Strategy, Policy & Governance Transform the Culture to a Data-driven Organization Data Fit for Purpose; Empower Use of AI and ML Data Policy & Standards Enterprise-wide Governance Enterprise Information Model Data Management Right Data - Right Place - Right Time - Right Context

5 Use Case Driven Approach
Define Problem Identify, Capture, & Prepare Data Execute Hypothesis Develop Results & Recommendations Sample Problem Sets OBSERVE ORIENT DECIDE ACT Manpower Production Agility Offer & Schedule Training to Meet Changing Needs Asset Management Predictive (condition based) maintenance by asset type, make smart demolish vs sustain decisions; Training Effectiveness Right Exercises – Right Timing – Aligned to Readiness A4 – F16, Improve F16 utilization for sortie generation Quantum Illustrate Budget to execution Total Force Utilization Prioritize Supply to Demand; Informed Impact of Trades Aircraft Utilization Rate Increase Sortie Generation Work Smarter, Not Harder to Restore Readiness – Increase Lethality

6 Conceptual Architecture
Operators Mission Owners Functional SMEs Analysts Leaders ADS Store – List of authoritative data sources (includes information asset production sources) Analytics Platform– Trusted Enterprise Environment for Big Data Analytics with Algorithm Library and Access to Analytic and & Visualization Tools Enterprise Data Dictionary – Data element level glossary (for the purpose of rationalizing enterprise vocabulary) Services Registry – Collection of descriptions of enterprise services that utilize cataloged information assets Information Asset Catalog – Directory of aggregated data elements with corresponding metadata and contextual information “Does it Connect – Can it Share – Does it Learn?”

7 Linking Digital Innovation Initiatives
Project Maven/ AI & Machine Learning ISR Fusion Warfare Digital Logistics/Smart Flightline/Condition Based Maintenance Talent Management Digital Transformation Multi-Domain C2 Nuclear Enterprise Health AF Readiness & Safety Analytics Big Data Analytics for Suicide Prevention Knowledge Operations Partnering with MAJCOMs, DCSs, Service Components, Units, Labs, Academia, & Industry

8 Key Milestones Dec 18: Full Operational Capability
Jun 18: Formalize Concept of Operations Apr 18: Formalize Architecture Mar 18: Formalize Data Strategy Feb 18: Initial Operational Capability Oct 17: Organize for IOC

9 “The Air Force’s ability to continue to adapt and
respond faster than our potential adversaries is the greatest challenge we face over the next 30 years.” Gen Mark A. Welsh III, USAF, Ret. 20th Chief of Staff of the United States Air Force

10


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