In this video from the Technology Convergence Conference 2014, Rich Brueckner from insideHPC presents: Big Data - What's It Really About? "While the term Big Data has become pervasive in Information Technology, many in the industry are still puzzled by how to make money from this phenomenon. In this talk, Brueckner will look at what's really behind Big Data as an engine for change and describe case studies that are bringing the full potential of Big Data home." Watch the video presentation: http://insidehpc.com/2014/02/20/video-big-data-whats-really/ Learn more: http://insidebigdata.com

1. BIG DATA:
WHAT’S IT REALLY ABOUT?
Rich Brueckner
President, InsideBIGDATA
© TCC 2014, Confidential and Proprietary

2. AGENDA
•
•
•
•
•
•
•
Proper Intro
It’s Not the Data. It’s What You Use it for.
How Big Data Got Me Here
Case Studies
HPC and Big Data
Trends- What’s Next?
Call to Action
© TCC 2014, Confidential and Proprietary

3. THE PROPER INTRODUCTION
insideBIGDATA.com
© TCC 2014, Confidential and Proprietary

4. WHAT BIG DATA IS NOT
•
•
•
Size matters not.
It’s not about the Data, it’s what you do with
it.
Deriving insight from Data for purposes for
© TCC 2014, Confidential and Proprietary

5. FOR TODAY’S DISCUSSION:
BIG DATA = HIGH PERFORMANCE DATA ANALYSIS
© TCC 2014, Confidential and Proprietary

6. BIG DATA IS ABOUT TWO THINGS
© TCC 2014, Confidential and Proprietary

7. BIG DATA IS ABOUT TWO THINGS
First it’s about Money, Lots of
Money
© TCC 2014, Confidential and Proprietary

8. © TCC 2014, Confidential and Proprietary

9. SO WHAT’S THE SECOND THING?
© TCC 2014, Confidential and Proprietary

10. SO WHAT’S THE SECOND THING?
© TCC 2014, Confidential and Proprietary

11. SO WHAT’S THE SECOND THING?
© TCC 2014, Confidential and Proprietary

12. SO WHAT’S THE SECOND THING?
“ Bayesian probability provides a rational method for updating beliefs.”
© TCC 2014, Confidential and Proprietary

13. Big Data is about Degrees of Belief.
…even about how we feel about data itself.
© TCC 2014, Confidential and Proprietary

14. Can I prove that Big Data is about Degrees of Belief?
These 12 words just cost Facebook $18 billion of value:
"We did see a decrease in daily users specifically among
younger teens."
© TCC 2014, Confidential and Proprietary

15. BIG DATA- WHAT’S CHANGED?
• The nature of the Data: From
Sampling to Full Datasets
• Rise of unstructured data
• Acceptance of messiness in the
data
• N=All
http://bit.ly/1gZ7ZbD
© TCC 2014, Confidential and Proprietary

16. THE BIG DATA FRONTIER
There is no Eminent Domain
© TCC 2014, Confidential and Proprietary

17. SO WHERE ARE HEADED IN THIS TALK?
© TCC 2014, Confidential and Proprietary

18. BEWARE THE BIG DATA NAYSAYERS
WHAT IS THEIR AGENDA?
© TCC 2014, Confidential and Proprietary

19. IF BIG DATA IS SO POWERFUL,
WHY CAN’T IT PREDICT THE ECONOMY?
The Stock Market is all about Degrees of Belief!
• The economic system is non-linear.
• Therefore, even a small stimulus can create a
completely unexpected result
• It’s a complex dynamical system where you don’t
have clear knowledge of the initial conditions or the
conditions of the stimulus.
• Big Data can can help you see averages, find the
needle in the haystack, and help identify the accurate
models for predicting what the market is really going
to be doing.
© TCC 2014, Confidential and Proprietary

20. HOW BIG DATA GOT ME HERE
© TCC 2014, Confidential and Proprietary

21. HOW BIG DATA GOT ME HERE
•
•
•
REACH – Measure of total audience size.
RESONANCE – How much activity someone
creates when he/she publishes.
RELEVANCE – How relevant someone is to a
© TCC 2014, Confidential and Proprietary

22. CASE STUDY: SUMO FRAUD
•
•
•
•
Match-Fixing Scandal in 2011
Discovered through Big Data analysis.
Proven by Text Messages.
$200 tickets and $1 Million Dollar Champions.
© TCC 2014, Confidential and Proprietary

23. CASE STUDY: PREDICTION MACHINE
•
•
Tool simulates each and every game 50,000
times before making a pick.
32 million Americans average yearly spend
is $467 or $15 billion in total playing.
© TCC 2014, Confidential and Proprietary

24. CASE STUDY: MORTGAGE FRAUD
LexisNexis Risk Analysis
• Developed HPCC technology - an HPC alternative to Hadoop
• Database has 270 Million Individuals in the US Alone
• They know you’re that John Smith
• Graph Analysis spots Relationships
• Ability to spot mortgage fraud rings that were previously
undetectable
Annual Fraud Estimates:
California, at $864 million
New York at $278 million
Florida at $273 million
•
•
•
© TCC 2014, Confidential and Proprietary

25. © TCC 2014, Confidential and Proprietary

26. CASE STUDY: BIG BROTHER WATCHES BIG BROTHER
© TCC 2014, Confidential and Proprietary

27. WORLD’S CONVERGING:
HPC AND BIG DATA
Venus
(HPC)
Mars
(Big Data)
© TCC 2014, Confidential and Proprietary

28. PAYPAL CASE STUDY: HPC IN THE ENTERPRISE
“Examples of large
organizations using HPC
include PayPal, which IDC
estimates has saved over
$700 million by adopting HPC
for real-time detection of
online consumer fraud.”
- Steve Conway, IDC
© TCC 2014, Confidential and Proprietary

29. PAYPAL CASE STUDY: HPC IN THE ENTERPRISE
© TCC 2014, Confidential and Proprietary

30. HPC - WHAT’S CHANGED?
1986
CRAY X-MP/4
4 Vector Processors
800 Mflops (106)
2013
Tianhe 2
3,120,000 cores
33.86 Petaflops (1015)
© TCC 2014, Confidential and Proprietary

31. THE HPC FRONTIER
© TCC 2014, Confidential and Proprietary

32. TRENDS
• Rise of Real-Time Analytic
through in-memory
technologies
• Enterprises adopt HPC
technologies into workflow
• Internet of Things Feeds Big
Data Phenomenon and
ends up swallowing Big
Data as a meme.
© TCC 2014, Confidential and Proprietary

33. © TCC 2014, Confidential and Proprietary

34. SUMMARY
Big Data is about two things:
• Money! Making More and
Keeping it
• Degrees of Belief
© TCC 2014, Confidential and Proprietary

35. CALL TO ACTION
• Check out insideBIGDATA.com
• Buy this book:
• Big Data: A Revolution That Will
Transform How We
Live, Work, and Think by Viktor
Mayer-Schonberger and Kenneth
Cukier
© TCC 2014, Confidential and Proprietary

36. CALL TO ACTION
Read my SCI-FI Original:
The Observer Effect
http://bit.ly/theobservereffe
ct
© TCC 2014, Confidential and Proprietary

37. POLL: SO HOW DID I DO TONIGHT?
© TCC 2014, Confidential and Proprietary

38. PLEASE LET ME KNOW HOW I DID!
“Big Data: What’s It Really About?”
1) WITH YOUR MOBILE DEVICE:
In the TCCLive mobile app,
“Agenda” section,
then tap “Surveys”
- OR 2) FILL OUT THE PAPER VERSION
given to you at registration
© TCC 2014, Confidential and Proprietary