[aiim17] knowledge management and the internet of things - katrina pugh
TRANSCRIPT
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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
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Kate Pugh, Columbia [email protected]/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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