By Derek Wang - FOUNDER AND CEO AT STRATIFYD INC
Description:
Everyone is talking about big data but there are some misunderstanding.
What is Augmented Intelligence. 1) Human vs computer 2)Human with computer is more powerful than computer or human 3) Augmented intelligence is human intelligence + machine learning
Some case studies to indicate the power of augmented intelligence
At Southern California Data Science Conference Sept.25.2016 at USC
http://socaldatascience.org/
http://www.datalaus.com/en/
9. 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
10. The How is NOT just the Raw Data
Data Deficiency
Incomplete Data
Conflict Data
Uncertainties in
Data
11. The How is NOT just the Raw Data
Data Physicality
and Sociality
Location
Temporal
Social connectivity
12. The How is NOT just the Analytics
Data Wrangling
Wasted
>80% of Analysts’
time
Requires hand
curation
13. The How is NOT just the Analytics
Limited by
Computing Model
Rigid, Dense and
Arcane Algorithms
Lack of Human
Intelligence
14. The How is NOT just the Analytics
Ask the Right
Question
Not able to
Hypothesize issues
effectively
Skilled force is in
short supply
16. Big-Data Analytics is the
Art (human analysis)
augmented by
Science (computational
model)
17. 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
19. The How is in Widget Analytics
Tools in context to
your business
More nimble, more
agile
20. The How is in Data on Demand
Data in context to
your tasks
More cross-
references
21. The How is in User-centered Analytics
Ask the right
question
Answer within its
context
22. The How is in 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
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
25. 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
26. X. Wang et al. 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
Notas del editor
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.
The spread of the flu related scenarios across the city
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?
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