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KM and the Internet of Things

Katrina Pugh, Columbia UniversityInformation and Knowledge Strategy

March 16, 2017

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Today’s Journey• What is IoT?• KM v. IoT• Info mgt & collaboration• What business models lie ahead?

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Cheaper, cleaner, safer, faster• GE Jet Engines: Needs-based

maintenance saves $160M/year*• Tesla: Remote “self-fix” recall• NOAA: Satellite, wind, temperature

combo forecasts weather, red tide• Norfolk Southern: saves 10.8 million

gallons of diesel, 109,500 metric tons of greenhouse gasses*

• UC Irvine Hospital: Disposable wearable sensors to Code Blue within 90 sec.*

https://www.wired.com/2016/03/meet-teslas-model-3-long-awaited-car-masses/

*Timothy Chou, Precision (2016)

http://www.digitalvidya.com/blog/general-electric-ge-built-big-data-software-analytics-for-industrial-internet/

http://www.goes.noaa.gov/dml/east/nhem/eaus/rb.html

http://www.nscorp.com/content/nscorp/en.html

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What is IoT?• “Internet of things” is

sensor data, big data, machine learning, machine to machine communication, and automation

• Big ideas:Needs-based, as opposed to

time-based, repairSelf-healing analytics Adding external (e.g.,

benchmark or history) data“Precision action”

Smart, connected assets

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IoT by the (big) numbers

$14.2T Economic activity by 2030 (Accenture)

$4.5T Economic activity by 2025 (McKinsey)

20.7B Devices in 2020, up from 15.4B in 2016 (IHS)

5B Electric grid data points/day in 2020 (Heck)

200M Wearable devices shipped by 2019 WW (IDC)

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~2020 per every man, woman, child on the earth…

$556 in economic

activity

3 devices

1 Electric grid data point/day

3% have wearable

devices

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IoT EnablersEquipment SecurityBattery powerSystem platforms Analytics tools

AIIM 2016

…..and we, information practitioners

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Collect (alert)

Select, integrate analyze, act

Collect, select, integrate (alert)

Analyze, act

KM IoT - event- interaction

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KM Process IoT Process

Design Low volumes, flexible design Billions of data points, fixed

Sense Sense-making at end of pipe. …throughout the pipe.

Route Metadata may be missing Transmissions may leak

Snapshot Institutional memory. Last configuration, trends.

Interpret Autoclassification/humans Deep learning/devices.

Protect Many actors, algorithms. Bi-direct’l, big “surface area”

Collabo-rate

“Collective intelligence”; emergence.

“Crowd sourcing” at each step divergence.

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Columbia Info and Knowledge Strategy PillarsAccess,

Use/ Innovate

Capture

Organize, Store

Get

Feel

Act Info Management Collaboration

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Sample IoT Info Management Developments

• Security

• SIM chips

• Block chain

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Sample IoT Collaboration Developments

• Standards

• Open source

• Partnerships

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Brave new world!

Static, contained assets Adaptive, inclusive things

Product and Syst. Integ’n Cloud apps, Services

People ping things Things ping people & things

Hierarchies, entities Networks, coalitions

http://info.aiim.org/2017-state-of-information-management

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Kate Pugh, Columbia Universitykp2462@Columbia.eduwww.sps.columbia.edu/iknswww.alignconsultinginc.comTwitter: katrinapugh

• KM and the Internet of Things (KMWorld, 2016)• Smarter Innovation (Ark Group) • Designing Effective Knowledge Networks (Sloan Management Review)• Sharing Hidden Know-How (Wiley/Jossey-Bass)

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