Synopsis: To date, we've largely deployed Big Data technologies to find value in data exhaust: the service data and logs generated from operating everyday services and platforms. But what happens when we increase the number of devices on the Internet by nearly an order of magnitude, each actively generating new telemetry data we did not have access to before? We've now gone beyond "find value in the data we already have", to "actively produce more data in pursuit of value". Fortune will favor the prepared in this shift. Speaker: Cory von Wallenstein Chief Technologist at Dyn Cory von Wallenstein is the Chief Technologist of Dyn where he is the external voice of the company’s technical vision and preeminent solution architect for customers. He works with all departments within engineering to set and promote the strategy, innovation and development of all Internet Performance solutions for Traffic Management, Message Management and Performance Assurance. He is a leading voice on cloud computing having spoken on the topic at Interop, Velocity, CloudCamp, and DevOps Days and written on the subject for Wired, Datacentre Solutions Europe, and PandoDaily. Additionally, Cory co-chairs the Cloud & SaaS Cluster of the Mass Technology Leadership Council. When his head is not in the clouds, aside from being an aspiring private pilot, he can be found teaching product management at WPI, building great cultures at Intelligent.ly, and scaling SaaS revenues among Boston area startups. Sponsors for the event: Microsoft http://microsoftnewengland.com Dyn http://dyn.com Cognizeus http://cognizeus.com

1. Surviving the Internet of Things
April 14, 2014 – Big Data Analytics, Discovery & Viz
Cory von Wallenstein
Chief Technologist
@cvwdyn

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Today’s Big Data: Data Exhaust
Finding value in the config and log data
we already have.

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Tomorrow: Need a Bigger Boat
Businesses will actively seek new data in
pursuit of new value.

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User experience is the new
competitive differentiator.

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$3.2B $3.5B+
$5B+

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2010: 58% of US consumers
http://cvw.gs/amex2010
would pay a higher price if they had a strong
expectation of receiving superior service.
Consensus around 9% optimal premium.
2012: 66% of US consumers
http://cvw.gs/amex2012
would pay a higher price if they had a strong
expectation of receiving superior service.
Consensus around 13% optimal premium.

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From 2010 to 2012:
The number of folks who voted for superior service
with their wallets went from 57% to 75%.
Businesses are responding.

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Internet of Things - Phase One
Infrastructure and
Connectivity

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Agriculture
telemetry data:
huge driver of IPv6
in APAC

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“People”: ~7B
http://cvw.gs/cisco-iot
“Things” today: ~14B
IPv4 Addresses: ~4B
“Things” 2020: ~50B

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Internet of Things - Phase Two
Analytics and Understanding

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Internet of Things - Phase Three
Finding Value

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Surviving the Internet of Things: Summary
• Big Data: “Data Exhaust” to “Active Production”
• Technology visibility vs customer value
• User experience as competitive differentiator
• Three phases:
• Infrastructure, analytics, value