sentinel week 3 h4d stanford 2016

Digital and searchable platform that includes latest and greatest intel on Chinese naval vessels from published resources, State Dep’t, NSA, etc

Digital and searchable platform that includes intel on Chinese naval vessels from published resources, State Dep’t, NSA, etc, collected annually

Hard copy paper document that includes intel on Chinese naval vessels from published resources, State Dep’t, NSA, etc, produced annually

Hard copy paper document available on Amazon

Team Sentinel

● Team members:

○ Jared Dunnmon

○ Darren Hau

○ Atsu Kobashi

○ Rachel Moore

● Cumulative # of interviews: 27 + 12

○ Users: 6 Experts: 6

● Our “minimum viable problem”/What we do: Enable more efficient and informed strategic decisions by filling in intelligence gap about surface ships in an A2/AD environment via

○ Increased number of data streams (i.e. incorporate open source data)

○ Automated data aggregation (i.e. from disparate sources) and analysis

○ Enhanced intel through contextualization

○ Improved UI/UX

● Why it matters:

○ A2/AD prevents deployment of traditional ISR

○ Current assets are incapable of providing timely insight throughout 7th Fleet’s operational domain

○ Overall data aggregation platforms in PACOM appear to be extremely manual

● Military Liaisons

○ John Chu (Colonel, US Army)

○ Todd Cimicata (Commander, US Navy)

● Problem Sponsor

○ Jason Knudson (Lieutenant, US Navy 7th Fleet)

● Tech Mentors include:

○ Palantir (TBD)

JIOC

J1 J2 J3

J4 J5

J7

J6

J8 J9

N1 N4 N7N6 N8 N9

VADM Joe Aucoin

ADM Scott Swift

ADM Harry Harris Jr

N2/N39Intel and Info Ops

N3Operations

N5 Planning

N22Op/Intel Overwatch

N23Collection Operations

N391Fleet Cryptology &

Information Operations

N31Current Operations

N32Fleet Oceanographer

N33Future Operations

N34AT/CIP/NWS

N52Fleet Doctrine Strategy

N53Deliberate Plans

Division

N54Maritime Assessments

N55Functional Plans

Division

Director (CPT Greg Husmann)

Deputy Director(CDR Silas Ahn)

Director (CPT Wes Bannister)

Deputy Director(CDR Chris Adams)

Director

Deputy Director

LT Jason Knudson

Directorate (N/J/A/G)

Description

1 Manpower and Personnel

2 Intelligence

3 Operations

4 Logistics, Engineering, Security & Cooperation

5 Planning

6 C4: Command, Control, Communication, Cyber

7 Training & Exercises

8 Resources & Assessments

9 Civil, Military Cooperation

Customer Discovery

Hypotheses Experiments Results Action

Data aggregation + layering is secondary to sensor availability

- Site visit @ NPS (CMDR Breuer, CAPT Verheul, Higgins, Brutzman, Miller)- Interview with Ostrander (U of Hawaii)- NYTimes article

- Extremely keen on solving sharing and aggregation problem- “Ship-based radar is the only part that is automated...AIS is integrated verbally”

- Visit a CG version of a MOC- Speak with Palantir about their products- Evaluate recommended data fusion products such as Pacific Disaster Center

This is a 7th Fleet problem

- Engagement with Knudson- Site visit @ NPS- Interview with LT. COL Oti

- This is a PACOM problem; 7th Fleet was tasked with finding a solution- This impacts not only J2 and J3, but also J5 (planning)

- Speak with PACOM J2, J3, J5

N2/J2 are our ultimate beneficiaries

- Site visit @ NPS- Engagement with Chu- Interview with Oti

- A data aggregation and layering platform would benefit a lot of organizations- N/J3 is the key organization; N/J2 and N/J6 support N/J3- Also impacts work of N/J5

- Interview with Deputy N3 TONIGHT- Speak with N/J3, N/J5

Customer Discovery




- Extremely keen on solving sharing and aggregation problem- “GCCS is susceptible to garbage-in, garbage-out”










Customer Discovery




- Extremely keen on solving sharing and aggregation problem- “The fact that commercial satellite imagery can identify ships is unsettling to Navy”










Customer Discovery




- Extremely keen on solving sharing and aggregation problem- “...drives me crazy that every individual use case becomes an opportunity to build a new single-purpose fusion tool”










Research- Interviews to assess needs, organizational dynamics, procurement strategy- Site visits to see current practices- Identify key geographic areas of interest

Prototype- Evaluate existing sensor platforms with commercial partners- Integrate sensor(s) of interest into partner product- Compile existing data resources- Evaluate relevant ML algorithms- Iterate on human-machine interaction

Strategic Decision MakersE.g. CPT Greg Hussman, VADM Joseph AucoinADM Scott Swift (PacFleet)ADM Harry Harris (PACOM)

Analysts (N2)E.g. Jason Knudson, John Chu, Jed Raskie, Joseph Baba Deployers (N3)Scheduled this week

Planners (N5)Need to find these people

- Decreased time to predict hot spots, ID & differentiate threats

- Good UI for operators, decision-makers

- Timely, episodic persistent coverage with easily-deployed system

- Cost savings with respect to existing solutions

- Prototype operability + demonstrated scalability

Hardware- Acquire initial sensor platform with single desired capability- Design deployment strategy + platform- Deploy pilot in operational environment- Develop fabrication/procurement pipeline + cost models for scaling

Software- Determine most useful data interface for analysts- Determine optimal information flow to strategic decision makers- Develop ML and visualization algorithms- Build, Test, and Deploy Product

Fixed- Buying proprietary data- Software tools- Hardware evaluation + prototyping equipment- Evaluation of commercial products

Prototyping- Existing sensor platforms- Existing deployment platforms- Academic research

Scaling- Available commercial + military data- Existing database tools (Palantir, AWS)

- Need demand from operators and deployment personnel in 7th Fleet

- Need commanding officer to confirm decision-making benefits

- Need intelligence officers from ONI / N2 to confirm effectiveness of insights

- Need IT approvals to integrate into systems

- Need support of commercial partners if want to leverage their platforms

Beneficiaries

Mission AchievementMission Budget/Costs

Buy-In

Deployment

Value Proposition

Key Activities

Key Resources

Key Partners

Military- 7th Fleet + designated sponsor- Naval Postgraduate School (NPS)- Office of Naval Research (ONR)- Acquisition Personnel

Commercial- Distributed sensor platform companies (i.e. Saildrone, AMS)- Data analytics (i.e. Palantir, Google)- Advanced manufacturing

Academic- Universities (i.e. University of Hawaii)- National Labs (Lincoln Labs, Sandia)

Other- IUU fishing + anti-smuggling stakeholders (i.e. Coast Guard, PNA)

Mission: Provide Cost-Effective, Actionable Intelligence at All Times

Testing- 7th Fleet assets for pilot- Research barge- Access to model analyst data interface

Variable- Travel for site visits, pilots- R&D personnel- Manufacturing/Development

IMPROVE TACTICAL AND STRATEGIC DECISION

MAKING VIA BETTER DATA HANDLING

(1) Rapid Strategic Decisionmaking via Improved Reporting

(2) Improved Tactical Decision Making via Enhanced Information Sharing

(3) More Effective Analysis via Searchable, Visualizable Data Integration

ENHANCE INCOMING DATA STREAMS

(1) Improved Collection of Existing Data Streams (e.g. Fishing Broadcasts)

(2) Predictive Intel through Machine Learning

Additional Sensing Capability

Products& Services

- Timely data- Good UI/UX for

presenting data

- Cheaper acquisition- Streamlined

reporting process- Increased coverage

area and persistence Customer Jobs

Gains

Pains

Gain Creators

Pain Relievers

- Improved deployment strategy

- Good UI/UX- Platform incorporates

more data streams

- Allocate assets- Identify, eliminate

threats- Predict hot spots- Safety of team- Projecting peace,

stability in region

- More informed decisions

- Faster decisions

- Poor quality/lack of data- Time consuming system- Latency of data ->

insight

Admiral/Strategic Decision Maker

Value Proposition Canvas

Products& Services

- Contextualized, object-oriented database

- Algorithms for processing, analyzing data

- Ability to search for trends across database

- Faster deployment of sensors

- Integration of data sources

- Automation of data analysis

- Improved UX/UI

Customer Jobs

Gains

Pains

Gain Creators

Pain Relievers

- Contextualized, object-oriented database

- Compatible data format- Incorporate multiple data

streams

- Collect & analyze data

- Communicate findings

- Piece together contextualized awareness

- More actionable insights

- Faster identification & response times

- Easy-to-use

- Incorporation of context is manual/mental

- Poor quality / lack of data- Latency of data -> insight

Analyst (N2)


Products& Services

- Low cost, disposable sensors

- Improved deployment strategy

- N/A

- Disposable- Reduced expense- N/A

Customer Jobs

Gains

Pains

Gain Creators

Pain Relievers

- No hardware to deploy so no risk of asset or personnel loss

- Autonomous operation

- Deploy sensors in timely manner

- Monitor status- Maintenance- N/A

- Reduced manpower, time- Reduced operator error- N/A

- High manpower, time- Operator error- Safety concern for deploying

in unfriendly territory

Operations (N3)


Customer Workflow

MVP

AIS Weather

Questions?

Customer Workflow

N2

N3

N2(“owns”

the intel)

N3(“owns”

the assets)

Ready-To-Use DataDeployment

Data Acquisition

Data Analysis

Data

Order/Decision

Data Acquisition

ContextualizedDatabase

Last Week’s MVP

Deployment

Last Month

Today

Object-orientedDatabase

Query

- What data is most useful to capture?- What sensor modalities can capture?- What products exist?

- What deployment options exist?- What is easiest to deploy?- What is “good-enough” time to data acquisition?- What is the deployment process?

- Is .kmz format all that is necessary for compatibility?- What do companies like Palantir do today?

sentinel week 3 h4d stanford 2016

Education