Intel IT s Big Data Transformation. Aziz Safa VP, GM Enterprise Applications & Strategy November, 2014



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Transcription:

Intel IT s Big Data Transformation Aziz Safa VP, GM Enterprise Applications & Strategy November, 2014

Legal Notices This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information about performance and benchmark results, visit www.intel.com/benchmarks Intel and the Intel logo 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. Copyright 2014, Intel Corporation. All rights reserved. 2

A strategic inflection point is an event that changes the way we think and act." Andrew Grove, Intel CEO 1987-1998

Only the Paranoid Survive Copyright 2014, Intel Corporation. All rights reserved. 4

Inflection Point: Early Adopters Win Copyright 2014, Intel Corporation. All rights reserved.

Big Data is about time to value

1951 1959 1st Commercia l Computer 1959 1971 Integrate d Circuit 1 st microprocess or 1983 1 st PC 1991 World Wide Web 1997 Google 2003 Intel Centrino. 2004 2007 2014 2010 iphone Facebook IoT / Wearables Tablets 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015

Harnessing the Power of Big Data Discovery Wearable Devices Cloud Platform Analytics Platform 8

What s Driving Big Data? Volume & Type of Data 10X Data growth by 2016 90% unstructured 1 Lower Cost of Compute & Storage AVERAGE SERVER COST 2002-2012 2 40% STORAGE COST / GB 2002-2012 2 90% New Investments in Tools & Services $3B 2010 $7B $17B 2012 2017 3 1: IDC Digital Universe Study December 2012 2: Intel Forecast 3: IDC WW Big Data Forecast Copyright 2014, Intel Corporation. All rights reserved.

Copyright INTEL CONFIDENTIAL, 2014, Intel Corporation. FOR All INTERNAL rights reserved. USE ONLY Why are we here?

Internet of Things x Big Data = Unprecedented Value x = 50 Billion 35 ZB Cost Savings Revenu e Growth Margin Gain THINGS DATA VALUE Sources: AMS Research, Gartner, IDC, McKinsey Global Institute, and various outher industry analysts and commentarors Copyright 2014, Intel Corporation. All rights reserved.

Internet of Things x Big Data = Unprecedented Challenges Revenue Growth x = NO NO 50 Billion 35 ZB SECURITY INSIGHT NO Cost Savings PROOF Margin Gain THINGS DATA VALUE

Internet of Things x Big Data = Unprecedented Challenges Difficult to Integrate One-Off Solutions Bring data to compute Fail to scale Waste resources on misguided Revenue pilots Growth Legacy Systems x = Fragmented 50 Billion 35 ZB Offerings Delayed insights Rising costs Cost Savings Lack of Standards Poor Security Underutilized data Sub-optimal hardware Fail to show Margin ROI Gain Fail to meet TTM THINGS DATA VALUE

Big Data Framework A single platform for workload profiling that provide analytics Insights for users

IT S NOT ABOUT THE DATA

Industries Redefining Themselves Access to World Data Analytics

Collecting A City s Pool Tax 'The technology is going so far ahead of what people think is possible, and there is too little discussion about community norms Director of Electronic Privacy Information Center

18

Video Copyright 2014, Intel Corporation. All rights reserved. 19

Connecting for shared innovation Enable breakthroughs in Parkinson disease research through Big Data analytics technologies

Intel Big data analytics platform Patient Patients are not able to objectively evaluate their condition No Objective measure of PD (Parkinson disease) symptoms Cost of trials are in the scales of $M and they take several years to complete Big data cloud Analytics Researcher Very small number of patients contribute to research physician Researchers can not scale to large number due to technology limitations Big Data Framework

Clinical trials track Goal Collect controlled data and validate our algorithms by running traditional clinical trails Virtual clinical trial track Tracks Goal Collect information from large amount of patients in non controlled manner through direct recruiting of patients by MJFF Wear a watch Start an application Copyright 2014, Intel Corporation. All rights reserved. 22

Analytics Out of the box analytic algorithms Activity recognition Activity characteristics symptoms identification Activity monitoring

25

value Optimized business processes through analytics Copyright 2014, Intel Corporation. All rights reserved. What happened? Why did it happen? Diagnostic What will happen? Predictive Predict customer s propensity to buy How can we make it Prescriptiv happen? e Rank all customers according to their potential sales volume Descriptive Slice & Dice Sales transactions reports difficulty Adapted from Gartner Original 2010

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

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