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Scaling Digital Intelligence

Date post: 21-May-2015
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Why the polemic that sets intuition against rationality is wrong and how do we use this insight to help us scale digital intelligence?
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Scaling Intelligence Art + Science @ Scale March 5th, 2014 Digital Government Conference Jason Juma-Ross Lead Partner, Digital Intelligence @ideasoc
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Page 1: Scaling Digital Intelligence

Scaling Intelligence

Art + Science @ Scale March 5th, 2014 Digital Government Conference Jason Juma-Ross Lead Partner, Digital Intelligence @ideasoc

Page 2: Scaling Digital Intelligence

PwC

An unhelpful debate

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Page 3: Scaling Digital Intelligence
Page 4: Scaling Digital Intelligence

PwC

Page 5: Scaling Digital Intelligence
Page 6: Scaling Digital Intelligence

PwC

The optimizer’s curse

Source: Smith & Winkler (2006)

Distribution of each value estimate

Distribution of maximum value estimates

A decision-maker who consistently chooses alternatives based on her estimated values should expect to be disappointed on average, even if the individual value estimates are conditionally unbiased.

Page 7: Scaling Digital Intelligence

PwC 7

Removing the constraints

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PwC

Linear combination = constraint imposition

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Analysis

PowerPoint

Presentation

Debate

Inaction

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PwC 9

Three modes of decision-making

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PwC

Thinking like a fighter pilot

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Sense Orient Decide Act

•  Instrumentation •  Sensors •  Direct feedback

Faster, cheaper

•  Actuators •  Automated operations

Intelligent Agent

Wetware

IFTT

Machine

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PwC

Visualisation: data | wetware

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PwC

If this then that: rule based mode

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PwC

Machine leaning mode

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PwC

WETWARE IFTT MACHINE MACHINE

In real applications, all three modes get combined Example: social network analysis

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NoSQL Sentiment Mining SQL

CRM

DMP

Dash-boards

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PwC 17

Artificial intelligence isn’t

Page 18: Scaling Digital Intelligence

PwC

Thank You! [email protected] @ideasoc

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