In pursuit of
Augmented Intelligence
Derek Wang, PhD
CEO |Stratifyd
How everything began
Epidemic Prediction
Day One: The beginning of the flu-like symptoms are centered in the Downtown
area
Day Two: Symptoms start to show up in suburban neighborhoods
Day Three: Major Tweets are coming from Hospitals, geo-hot spots
formulated
Human vs. Artificial Intelligence
Garry Kasparov vs. Deep Blue (1997)
Artificial vs. Augmented Intelligence
Hydra vs. Cyborgs (2005)
• Grandmaster + 1 chess
program beats Hydra
(chess-playing computer)
• Amateur + 3 chess
programs beats
Grandmaster + 1 chess
program
How?
The How is NOT just the Structured Data
Complex Data
Formats
Structured (10%)
Unstructured (10%)
Semi-Structured (80%)
Email
Survey
IT
Call Ctr
SNS
SalesHR
The How is NOT just the Raw Data
Data Deficiency
Incomplete Data
Conflict Data
Uncertainties in
Data
The How is NOT just the Raw Data
Data Physicality
and Sociality
Location
Temporal
Social connectivity
The How is NOT just the Analytics
Data Wrangling
Wasted
>80% of Analysts’
time
Requires hand
curation
The How is NOT just the Analytics
Limited by
Computing Model
Rigid, Dense and
Arcane Algorithms
Lack of Human
Intelligence
The How is NOT just the Analytics
Ask the Right
Question
Not able to
Hypothesize issues
effectively
Skilled force is in
short supply
Augmented
Intelligence
Big-Data Analytics is the
Art (human analysis)
augmented by
Science (computational
model)
Data to Actionable Insights
B.I. + A.I. =
Analytical
reasoning
facilitated by
visual interactive
interfaces A balanced interface between the offline data analytics
and the online interactive analysis processes
Extract Insights from Unstructured Data - FAST
The How is in Widget Analytics
Tools in context to
your business
More nimble, more
agile
The How is in Data on Demand
Data in context to
your tasks
More cross-
references
The How is in User-centered Analytics
Ask the right
question
Answer within its
context
The How is in Invisible Computing
Apply analytics
context to your
computing
The Result – Data to Insight Fast
• Analyzed random sample
(3,800/38,324)
• Assigned groups, used by other VOC
teams, to cases and grouped cases
using Pivot Tables
• Spent 12 hours over 3 days to get
insights
• Multiple call drivers were bucketed
according to severity and priority
• Made a lot of judgement calls
• Top Findings: A, B, C
• Tool was able to analyze all 38,324 cases
• Tool analyzed data and combined two word
phrases using NLP and clustered together
based on the semantic relationships and
relative significance of the texts in the data
• Spent 1 hour to learn the tool and 35
minutes to gather insights
• Additional insight to positive and negative
experiences
• Top Findings: A,B,C
Agent 1 – Manually
Bucketed
Agent 2 – Stratifyd
Support Data
Chat Survey
Sales Data
Lenovo Forum
External Reviews
Analyze over 24
Language Natively
Deep Text &
Predictive Modules
Interactive Visual
Analytics for Users
Dynamic
Reporting and
Insight Finding
10X
Faster internal
communication and
decision making
90%
Reduction in
competitors and market
research
100%
To Data-driven Sales
and Support on VOC
The Result – Sell better to your customers
Sharable, searchable, and
clickable data
Significant time savings
Multi-channel
aggregation
Useful beyond Voice
Of Customer
Shorter ramp for new
VOC agents
Real-time insights from
multiple channels
The Result
X. Wang et al. 2012 US Coast Guard, DOT: Storm Surge Simulation Analysis
Key Takeaway
Context, Context, Context!
Industrialization of Big-Data Analytics
Augmented Intelligence = Human + Computer
• Derek Wang, PhD
• Derek.Wang@stratifyd.com
• www.stratifyd.com
• 1431 W Morehead St, Charlotte

In pursuit of augmented intelligence

  • 1.
    In pursuit of AugmentedIntelligence Derek Wang, PhD CEO |Stratifyd
  • 2.
  • 3.
    Day One: Thebeginning of the flu-like symptoms are centered in the Downtown area
  • 4.
    Day Two: Symptomsstart to show up in suburban neighborhoods
  • 5.
    Day Three: MajorTweets are coming from Hospitals, geo-hot spots formulated
  • 6.
    Human vs. ArtificialIntelligence Garry Kasparov vs. Deep Blue (1997)
  • 7.
    Artificial vs. AugmentedIntelligence Hydra vs. Cyborgs (2005) • Grandmaster + 1 chess program beats Hydra (chess-playing computer) • Amateur + 3 chess programs beats Grandmaster + 1 chess program
  • 8.
  • 9.
    The How isNOT just the Structured Data Complex Data Formats Structured (10%) Unstructured (10%) Semi-Structured (80%) Email Survey IT Call Ctr SNS SalesHR
  • 10.
    The How isNOT just the Raw Data Data Deficiency Incomplete Data Conflict Data Uncertainties in Data
  • 11.
    The How isNOT just the Raw Data Data Physicality and Sociality Location Temporal Social connectivity
  • 12.
    The How isNOT just the Analytics Data Wrangling Wasted >80% of Analysts’ time Requires hand curation
  • 13.
    The How isNOT just the Analytics Limited by Computing Model Rigid, Dense and Arcane Algorithms Lack of Human Intelligence
  • 14.
    The How isNOT just the Analytics Ask the Right Question Not able to Hypothesize issues effectively Skilled force is in short supply
  • 15.
  • 16.
    Big-Data Analytics isthe Art (human analysis) augmented by Science (computational model)
  • 17.
    Data to ActionableInsights B.I. + A.I. = Analytical reasoning facilitated by visual interactive interfaces A balanced interface between the offline data analytics and the online interactive analysis processes
  • 18.
    Extract Insights fromUnstructured Data - FAST
  • 19.
    The How isin Widget Analytics Tools in context to your business More nimble, more agile
  • 20.
    The How isin Data on Demand Data in context to your tasks More cross- references
  • 21.
    The How isin User-centered Analytics Ask the right question Answer within its context
  • 22.
    The How isin Invisible Computing Apply analytics context to your computing
  • 23.
    The Result –Data to Insight Fast • Analyzed random sample (3,800/38,324) • Assigned groups, used by other VOC teams, to cases and grouped cases using Pivot Tables • Spent 12 hours over 3 days to get insights • Multiple call drivers were bucketed according to severity and priority • Made a lot of judgement calls • Top Findings: A, B, C • Tool was able to analyze all 38,324 cases • Tool analyzed data and combined two word phrases using NLP and clustered together based on the semantic relationships and relative significance of the texts in the data • Spent 1 hour to learn the tool and 35 minutes to gather insights • Additional insight to positive and negative experiences • Top Findings: A,B,C Agent 1 – Manually Bucketed Agent 2 – Stratifyd
  • 24.
    Support Data Chat Survey SalesData Lenovo Forum External Reviews Analyze over 24 Language Natively Deep Text & Predictive Modules Interactive Visual Analytics for Users Dynamic Reporting and Insight Finding 10X Faster internal communication and decision making 90% Reduction in competitors and market research 100% To Data-driven Sales and Support on VOC The Result – Sell better to your customers
  • 25.
    Sharable, searchable, and clickabledata Significant time savings Multi-channel aggregation Useful beyond Voice Of Customer Shorter ramp for new VOC agents Real-time insights from multiple channels The Result
  • 26.
    X. Wang etal. 2012 US Coast Guard, DOT: Storm Surge Simulation Analysis
  • 27.
    Key Takeaway Context, Context,Context! Industrialization of Big-Data Analytics Augmented Intelligence = Human + Computer
  • 28.
    • Derek Wang,PhD • Derek.Wang@stratifyd.com • www.stratifyd.com • 1431 W Morehead St, Charlotte

Editor's Notes

  • #2 Hey everyone, my name is derek – I;m the founder and ceo of Taste, where we provide analytics to many Fortune 500 companies to analyze their textual data sources. Today’s talk, I’m going to share my observations from this companies and focus on the emergence of augmented intelligences.
  • #4 The spread of the flu related scenarios across the city
  • #11 Just like that philosophical question that many teenagers faced, the real question is how? How do I extract value from the big-data world, how would I benefit from it and how to find insights? How can we make sense of the data if we don’t know the future value of it, That we can not connect the dots that’s beyond our conventional wisdom?
  • #18 Analytical reasoning facilitated by visual interactive interfaces A balanced interface between the offline data analytics and the online interactive analysis processes A collaboration between human and computers to make sense of social/natural phenomena
  • #19 Visual Analytics = Human + Computer