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© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
Pietro Leo 
Executive Architect 
IBM Italy CTO for Big Data Analytics & Watson 
Member of IBM Academy of Technology Core Management Team 
@pieroleo www.linkedin.com/in/pieroleo 
plus
Take It 
Easy! 
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
My Original Keynote Title .. 
plus 
Customerization
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
plus 
Customer 
Our Customer 
Knowledge 
Proxies 
Customer 
“memorable” 
Experience 
Experience Economy law: if 
everything (products and services) is 
becoming a commodity 
Where is the value?
@pieroleo www.linkedin.com/in/pieroleo 
“…Big Data & Analytics and 
more NOW Cognitive 
Computing will transform 
the relation with our 
clients...” 
© 2014 IBM Corporation
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
Source: http://www.youtube.com/watch?v=lPgp4A1vxls 
I am 
part of 
YOUR 
life 
COGNITIVE 
VViiddeeoo 11 ADVISORS
Meet @pieroleo www.the 
linkedin.com/in/pieroleo 
World's Most 
Connected Man 
Smart 
Robot 
Source: http://www.bloomberg.com/video/meet-the-world-s-most-connected-man- 
Vs~LzkbkR7yhjza~7nji1g.html 
Source: http://www.myjibo.com/ 2 
© 2014 27 IBM Corporation 
giugn 
Video 1 
I am 
part of 
YOUR 
Family
@pieroleo www.linkedin.com/in/pieroleo 
Consumers are open to share their personal information, 
with the exception of financial data, when there is 
perceived benefit 
Consumer Maintains Control of Data 
What is your willingness to provide information in exchange 
for something relevant to you (non-monetary)? 
© 2013 IBM Corporation 
33% 30% 28% 26% 15% 
45% 43% 21% 
30% 30% 
25% 27% 
28% 29% 28% 28% 
41% 41% 44% 46% 
63% 
100% 
80% 
60% 
40% 
20% 
0% 
Media Usage 
(e.g. Media 
channels) 
Demographic 
(e.g. age, 
ethnicity) 
Identification 
(name, 
address) 
Lifestyle (# of 
cars, home 
ownership) 
Location 
Based 
Medical Financial 
Completely Disagree Neutral Completely willing 
Source: IBM IBV Retail 2012 Winning Over the Empowered Consumer Study n= 28527 (global) P04: What is your willingness to 
provide information for each of the following items if [pipe primary retailer] provided something relevant to you in exchange?
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
Pietro Leo's 
Second Income 
Source: https://datacoup.com/docs#how-it-works
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
The need and the new value: buid a 
360°Integrated Customer View.... 
360°Integrated 
Customer View 
with TRUST!
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
“…Big Data & Analytics 
is proving value when it is 
part of a 
closed-loop 
Business 
action ...”..
@pieroleo www.linkedin.com/in/pieroleo 
I can partner with you, Trust me! 
First Step and need: build 360° Customer View 
Customer info 
Indexed 3rd party 
information related 
to customer 
Customer search: draw in all 
related records: J Robertson, 
Janet Robertson, Jan Baker 
Enabling a complete 
purchase history, 
including Baker records 
Customer’s Products 
Unstructured 
internal information 
related to customer 
Activity feed displaying 
changes 
in real time 
Source: http://www.ibm.com/smarterplanet/us/en/ibmwatson/explorer.html 
© 2014 27 IBM Corporation 
giugn
@pieroleo www.linkedin.com/in/pieroleo 
“....so, I can 
go deep with 
you..” 
© 2014 IBM Corporation
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo Text, text, text.... text
© 2014 IBM Corporation 
WatsonUserModeling :: OmniProfile 
@pieroleo www.linkedin.com/in/pieroleo 
Linguistic 
analytics to 
extract a 
spectrum of 
cognitive and 
social 
characteristics 
from the text 
data that a 
person 
generates 
through text 
messages, 
tweets, posts, 
and more. 
Source: TRY IT: Demo on IBM Bluemix - http://watson-um-demo.mybluemix.net/demo
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo Images, Imanges, Images... Images 
Images Followers 
of a Brand
24% 
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
2.4% 
69% 
7.8% 
13% 
3.8% 3.1% 
Travel & Scenery 
Going out 
Sports interests 
Shopping 
60% 
6.1% 
1.8% 
1.6% 
MultimediaAnalytics 
SkyScenery 
Rural Scenery 
Urban Scenery 
Water Scenery 
Performance 
Zoo 
Sport venue 
Parade 
Outdoor Market 
Indoor Store 
1.5% 
Travel & Scenery 
Leisure Scenery 
Airplane - 12.5% 
Blue sky - 8.9% 
Sunset - 2.4% 
Fireworks – 0,5 
Top Travel & Scenery Top Scenery Top Leisure 
Analytics to 
extract insights 
from images 
and videos 
Source: IBM System-V 
Brand 
Followers
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
“How Big Data & 
Analytics is evolving and 
scaling down the 
underline IT 
complexity ….”
@pieroleo www.linkedin.com/in/pieroleo 
Need to cope and satisfy both with technical and business 
views 
New / Enhanced 
Applications 
© 2014 IBM Corporation 
All Data 
Machine/Sensor 
Policy 
Broker 
Claims 
Social Media 
Location 
Litigation & 
Other 3rd party 
Better and 
Individual 
Pricing 
Enhanced 360 
Degree View 
Claims Analytics 
& Real Time 
Fraud Detection 
Batch or Real 
Time Next Best 
Action 
Information 
Sharing & 
Transparency 
Big Data & Analytics Strategy, Integration & Managed Services 
Big Data & Analytics Platform 
Real-time Data Processing & Analytics 
Landing, 
Exploration 
and Archive 
data zone 
Deep 
Analytics 
data zone 
EDW and 
data mart 
zone 
IBM Big Data IT Blueprint 
What is 
happening? 
Discovery and 
exploration 
Why did it 
happen? 
Reporting and 
analysis 
What did 
I learn, 
what’s best? 
Cognitive 
What could 
happen? 
Predictive 
analytics and 
modeling 
What action 
should I 
take? 
Decision 
management 
Operational 
data zone 
Information Integration & Governance 
MMMaaaccchhhiiinnneee///SSSeeennnsssooorrr 
Source: http://www.ibm.com/big-data/us/en/big-data-and-analytics/
Marketing Sales Finance Operations HR IT 
Communication & Collaboration 
Visualization & Storytelling 
Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive 
Data Access & Refinement 
Visit WatsonAnalytics.com 
and get started for free 
Marketing Sales Finance IT Operations HR 
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
A new CAMS+ “native” application 
paradigm is starting: the case of 
IBM Watson Analytics 
Analytics 
Watson Analytics 
CClloouudd 
MMoobbiillee RReeaaddyy SSeeccuurree 
Value: 
•Put analytics in the hands of everyone 
•Make access to data easy for refinement and 
use 
•Deliver through the cloud for agility and speed 
Prioritizing 
Accounts 
Receivable 
Identifying and 
Retaining Key 
Employees 
Helpdesk 
Case 
Analysis 
Campaign 
Planning and ROI 
Warranty 
Analysis 
Customer 
Retention 
Examles
Grazie! Hope you had a 
“memorable” 
Experience with me.... 
Member of IBM Academy of Technology Core @pieroleo Management Team 
© 2014 IBM Corporation 
@pieroleo www.linkedin.com/in/pieroleo 
Pietro Leo 
Executive Architect 
IBM Italy CTO for Big Data Analytics & Watson

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Slidedeck I utilized during my KeyNote speech at Italian Association for Market Research Conference 2014 in Milan 2014

  • 1. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo Pietro Leo Executive Architect IBM Italy CTO for Big Data Analytics & Watson Member of IBM Academy of Technology Core Management Team @pieroleo www.linkedin.com/in/pieroleo plus
  • 2. Take It Easy! © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo My Original Keynote Title .. plus Customerization
  • 3. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo plus Customer Our Customer Knowledge Proxies Customer “memorable” Experience Experience Economy law: if everything (products and services) is becoming a commodity Where is the value?
  • 4. @pieroleo www.linkedin.com/in/pieroleo “…Big Data & Analytics and more NOW Cognitive Computing will transform the relation with our clients...” © 2014 IBM Corporation
  • 5. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo Source: http://www.youtube.com/watch?v=lPgp4A1vxls I am part of YOUR life COGNITIVE VViiddeeoo 11 ADVISORS
  • 6. Meet @pieroleo www.the linkedin.com/in/pieroleo World's Most Connected Man Smart Robot Source: http://www.bloomberg.com/video/meet-the-world-s-most-connected-man- Vs~LzkbkR7yhjza~7nji1g.html Source: http://www.myjibo.com/ 2 © 2014 27 IBM Corporation giugn Video 1 I am part of YOUR Family
  • 7. @pieroleo www.linkedin.com/in/pieroleo Consumers are open to share their personal information, with the exception of financial data, when there is perceived benefit Consumer Maintains Control of Data What is your willingness to provide information in exchange for something relevant to you (non-monetary)? © 2013 IBM Corporation 33% 30% 28% 26% 15% 45% 43% 21% 30% 30% 25% 27% 28% 29% 28% 28% 41% 41% 44% 46% 63% 100% 80% 60% 40% 20% 0% Media Usage (e.g. Media channels) Demographic (e.g. age, ethnicity) Identification (name, address) Lifestyle (# of cars, home ownership) Location Based Medical Financial Completely Disagree Neutral Completely willing Source: IBM IBV Retail 2012 Winning Over the Empowered Consumer Study n= 28527 (global) P04: What is your willingness to provide information for each of the following items if [pipe primary retailer] provided something relevant to you in exchange?
  • 8. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo Pietro Leo's Second Income Source: https://datacoup.com/docs#how-it-works
  • 9. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo The need and the new value: buid a 360°Integrated Customer View.... 360°Integrated Customer View with TRUST!
  • 10. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo “…Big Data & Analytics is proving value when it is part of a closed-loop Business action ...”..
  • 11. @pieroleo www.linkedin.com/in/pieroleo I can partner with you, Trust me! First Step and need: build 360° Customer View Customer info Indexed 3rd party information related to customer Customer search: draw in all related records: J Robertson, Janet Robertson, Jan Baker Enabling a complete purchase history, including Baker records Customer’s Products Unstructured internal information related to customer Activity feed displaying changes in real time Source: http://www.ibm.com/smarterplanet/us/en/ibmwatson/explorer.html © 2014 27 IBM Corporation giugn
  • 12. @pieroleo www.linkedin.com/in/pieroleo “....so, I can go deep with you..” © 2014 IBM Corporation
  • 13. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo Text, text, text.... text
  • 14. © 2014 IBM Corporation WatsonUserModeling :: OmniProfile @pieroleo www.linkedin.com/in/pieroleo Linguistic analytics to extract a spectrum of cognitive and social characteristics from the text data that a person generates through text messages, tweets, posts, and more. Source: TRY IT: Demo on IBM Bluemix - http://watson-um-demo.mybluemix.net/demo
  • 15. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo Images, Imanges, Images... Images Images Followers of a Brand
  • 16. 24% © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo 2.4% 69% 7.8% 13% 3.8% 3.1% Travel & Scenery Going out Sports interests Shopping 60% 6.1% 1.8% 1.6% MultimediaAnalytics SkyScenery Rural Scenery Urban Scenery Water Scenery Performance Zoo Sport venue Parade Outdoor Market Indoor Store 1.5% Travel & Scenery Leisure Scenery Airplane - 12.5% Blue sky - 8.9% Sunset - 2.4% Fireworks – 0,5 Top Travel & Scenery Top Scenery Top Leisure Analytics to extract insights from images and videos Source: IBM System-V Brand Followers
  • 17. © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo “How Big Data & Analytics is evolving and scaling down the underline IT complexity ….”
  • 18. @pieroleo www.linkedin.com/in/pieroleo Need to cope and satisfy both with technical and business views New / Enhanced Applications © 2014 IBM Corporation All Data Machine/Sensor Policy Broker Claims Social Media Location Litigation & Other 3rd party Better and Individual Pricing Enhanced 360 Degree View Claims Analytics & Real Time Fraud Detection Batch or Real Time Next Best Action Information Sharing & Transparency Big Data & Analytics Strategy, Integration & Managed Services Big Data & Analytics Platform Real-time Data Processing & Analytics Landing, Exploration and Archive data zone Deep Analytics data zone EDW and data mart zone IBM Big Data IT Blueprint What is happening? Discovery and exploration Why did it happen? Reporting and analysis What did I learn, what’s best? Cognitive What could happen? Predictive analytics and modeling What action should I take? Decision management Operational data zone Information Integration & Governance MMMaaaccchhhiiinnneee///SSSeeennnsssooorrr Source: http://www.ibm.com/big-data/us/en/big-data-and-analytics/
  • 19. Marketing Sales Finance Operations HR IT Communication & Collaboration Visualization & Storytelling Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive Data Access & Refinement Visit WatsonAnalytics.com and get started for free Marketing Sales Finance IT Operations HR © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo A new CAMS+ “native” application paradigm is starting: the case of IBM Watson Analytics Analytics Watson Analytics CClloouudd MMoobbiillee RReeaaddyy SSeeccuurree Value: •Put analytics in the hands of everyone •Make access to data easy for refinement and use •Deliver through the cloud for agility and speed Prioritizing Accounts Receivable Identifying and Retaining Key Employees Helpdesk Case Analysis Campaign Planning and ROI Warranty Analysis Customer Retention Examles
  • 20. Grazie! Hope you had a “memorable” Experience with me.... Member of IBM Academy of Technology Core @pieroleo Management Team © 2014 IBM Corporation @pieroleo www.linkedin.com/in/pieroleo Pietro Leo Executive Architect IBM Italy CTO for Big Data Analytics & Watson