This document summarizes Aziz Safa's presentation on Intel's adoption of big data, cloud, and IoT technologies. It discusses how innovative companies are leveraging big data to create disruptive business models and enhance customer experience. Lower costs of computing and storage as well as the growth of unstructured data are driving big data adoption. However, only a small percentage of available data is currently being analyzed due to legacy techniques being insufficient. Intel proposes a unified big data approach to capture, store, manage, and analyze all data types. Advanced analytics applied to big data can provide a competitive advantage if companies build the right skills and move quickly.

1. Supported by
APJ Big Data and Cloud Summit 2014
Explore the Possibilities
Intel Big data/Cloud/IoT Adoption
Aziz Safa
VP, GM Enterprise Applications & Strategy
August 20, 2014

2. Legal Notices
This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.
Intel, the Intel logo and Ultrabook are trademarks of Intel Corporation in the U.S. and/or other countries.
* Other names and brands may be claimed as the property of others.
Copyright © 2014, Intel Corporation. All rights reserved.

4. James Watt
“Power belongs to those that control
the means of production”
British Empire

5. Zuckerberg
& Facebook
Larry Page
Sergey Brin
Google
Chen
Hurley
Karim
Youtube
Robin Li
Baidu
Omidyar
eBay
Williams, Stone, Dorsey
Twitter
Hoffman
Linked-In
5

7. Innovative companies are changing the rules of the
game
•Develop disruptive business models
•Create better products and services
•Enhance customer experience
•Drive sustained competitive advantage
All driven by the power of Big Data
Leverage Your Data – Make it Matter

8. What’s Driving Big Data?
40%
AVERAGE
SERVER COST
2002 - 20122
90%
STORAGE
COST / GB
2002 - 20122Lower Cost of
Compute & Storage
Volume &
Type of Data
10X
Data growth by 2016
90% unstructured 1
New Investments
in Tools & Services
$17B
2012 20173
$7B
2010
$3B
1: IDC Digital Universe Study December 2012
2: Intel Forecast
3: IDC WW Big Data Forecast

9. Business challenge – Opportunities lost
% of the Digital Universe
that actually is being
tagged and analyzed
Competitive Advantage
in the Digital Universe in 2012
Massive amounts of useful data are getting lost
23% 3%
% of data that would
be potentially useful IF
tagged and analyzed
% actually being
tagged for Big Data
Value (will grow to
33% by 2020)
0.5%
¹Source: IDC The Digital Universe in 2020, December 2012

10. Solution to address data getting lost:
Big Data Unified Approach
One platform for structured, semi-structured, and unstructured to profit from 100% of data.
• Capture
• Store
• Manage
• Analyze
• Optimize
Universal log management
Structured warehouses
Unstructured
100% of DataEnable me to:
on
CRM, transactions, sales, marketing…
IT logs, security logs, social, tweets, JSOn’s
Audio, Video, emails, sentiments, threat …

11. Technology challenge
Legacy techniques have all fallen short.
Stale technologies Talent shortage 86%of corporations cannot deliver
the right information, at the right
time to support enterprise
outcomes all of the time³
³Source: Coleman Parkes Survey Nov 2012
IT frustration Lack of insight

12. What addresses the “Legacy Shortfall”?
Systems of Engagement (Internal and External) that deliver user-
centric services and external data into the enterprise
• Social drives agility
• Cloud enables ubiquitous access to resources and applications, and workload flexibility
• Analytics enables data-driven insights for faster, smarter decision making
• Mobile enables a 24x7 connected, engaged workforce
• Security enables privacy by design
SoE Enablers:

13. Any Data Source
ERP Business Suites
In Memory Real-Time Data Platform
CRM
SCM
SRM
ECC
BW
ECCW
Real-Time & Self Service
Analytics Platform
MDG
NW
Teradata Cloudera* Hadoop
Consolidated BI tools
Data Tiering
Hot-Cold data
Enterprise
Data Warehouse
Non-ERP
Custom
Intel
…
Predictive
Analytics
BPC
BCS
Cloud
BI
SaaS
Enterprise Framework
New
Apps.
Downstream
Applications
Cloud

14. Big Data Framework

15. IT’S NOT ABOUT THE DATA

16. Industries Redefining Themselves
AnalyticsAccess to World Data

17. Big Data AnalyticsValue
= the “Asset” = the “Action”
Identify The Information, Synthesize It, Ask The Right Question
Results in a Valuable Outcome

18. Systematically optimize business processes through analytics
Descriptive
Diagnostic
Predictive
Prescriptive
Sales transactions
reports
Slice & Dice
Predict customer’s
propensity to buy
Rank all customers
according to their
potential sales
volume
SMART customer engagement
WHO to contact, WHAT to offer and WHEN?
Drive optimization of Online Sales Centers services
value
difficulty
What happened?
Why did it happen?
What will happen?
How can we make it
happen?

19. OUR JOURNEY: Analytics Driving Value
PHASE III
• Self service real-time
analytics
• Data Visualization
Tools
• Prescriptive Analytics
(changing the course
of actions)
PHASE II
• Unstructured Data
Infrastructure
• Advanced Predictive
Analytics
• Machine Learning
PHASE I
• Data Management
Foundation
• BI Reporting
• Start small. Proof of
concepts and pilots
Support Rapid and Informed Decision Making with Real Time Insights

20. Advanced Analytics and Big Data – the take away
What we believe
 Advanced Analytics applied on big data can become a competitive
advantage for corporations
 The evolution of Big Data in the enterprise requires companies to
build skills in focused areas and move fast to win
 IT must play a central role in moving companies forward

21. Learn more about Intel IT’s initiatives at www.intel.com/IT
Sharing Intel IT Best Practices with the
World
Assessment Tools
CIO and IT PerspectiveIT White Papers, Audio-Video Blogs
IT-to-IT Community

22. Thank You