APAC Big Data Strategy 2013

APAC Product Marketing Manager

Datacenter and Embedded Systems

RK Hiremane

Lighting Up Unused Data for Big Impact

2013 2014 2015 2016 2017

Acceleration of adoption of Hadoop

Apache Hadoop deployed on Intel Xeon2 years faster

Intel® Xeon processor growth from big data use

Uni

ts

Where is the Opportunity?

• Telecommunications, financial services

• Government, healthcare

• Not just in the mature markets

1. Improve services to customers (& people)

2. New business opportunity to grow revenue

Democratize data analysis from edge to cloud

Unlock value of Data

Support Open Platforms

Deliver software value

Intel can deliver end-to-end from the edge intelligent systems to the Datacenter/cloud

GTM Strategy

• OEMs

• System Integrators

• Independent Software Vendors

• Training partners

Sample text

Flytxt Overview

2/27/2013Copyright © 2013 Flytxt B.V. All rights reserved6

300+ employees. Management team with 150+ years in Telecom technology & business

Dutch Company with its competencies centre at Trivandrum, India and offices at Delhi, Mumbai, Hong Kong, Dhaka, Lagos, Nairobi and Dubai

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Our vision to create >10% economic value for Telcos from their data using Flytxt’s Big Data Solutions

Decisioning Logic Units, derived from raw data through patent pending complex domain specific analytics technologies, drive the applications

Red Herring Asia top 100 winner; NASSCOM Emerge 50; IEEE Cloud Computing Challenge Winner

Vision, Mission & Achievements Customers

Company

Flytxt

• Provide telcos with big data applications which increase demand, revenue, loyalty, and customer satisfaction AND that reduce churn, revenue leakage, fraud and direct costs

• Highly scalable platform: deployed across 400M+ subscribers

• Proven: 2% to 7% economic benefit to customers

Big Data

Descriptive Analysis

Clustering Analysis

Predictive Analysis

Deterministic Analysis

Correspondence Analysis

Variance Analysis

The team that introduced virtualization, grid and HPC x86 cluster computing to Singapore

• Next-generation HPC/Cloud infrastructure provider. Customers include A*STAR, STEE, NEC, Singtel.

• More than a decade of experience architecting and implementing leading edge HPC and Grids, and now Cloud systems.

1999

eLinux

2001 2002 2003 2006 2009

Software Kit

APAC

Itanium Rocks!

2010 2012

Dr. Zhao PeiVP Business Development

Revolution Confidential

Laurence LiewGeneral Manager, APACRevolution Analytics

Revolution Confidential

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Enterprise-ready Multi-platform Scalable from desktop to big data Delivers high performance analytics Easier to build and deploy analytic applications

Revolution Analytics is the leading commercial provider of software and support for the

open-source R statistical computing language

Revolution Analytics is the leading commercial provider of software and support for the

open-source R statistical computing language

Founded 2008

Office Locations Palo Alto (HQ), Seattle (Eng)Singapore (APAC HQ)London (EMEA HQ)

CEO David Rich

Number of customers 200+

Investors Northbridge Venture Partners, Intel Capital, Presidio Ventures

Revolution Confidential

Consumer & Info SvcsConsumer & Info Svcs

200 Corporate Customers and Growing

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Finance & InsuranceFinance & Insurance Healthcare & Life SciencesHealthcare & Life Sciences

Manuf & TechManuf & TechAcademic & Gov’tAcademic & Gov’t

Revolution Confidential

Revolution Confidential

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Real-time Big DataPredictive Analytics Stack

Revolution ConfidentialA Use Case for Retail Segment

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Analyze and optimize marketing mix customer segmentation Revenue/ action attribution among channels and marketing

programs Customized Next Best Action per individual prospect or customer;

data granularity feeds the big data challenge

BioScience: Genomics for Translational MedicineHadoop for Data Correlation & Discovery Insights

• Challenge: Derive new value added patient discovery services while bringing down genome processing costs

• Solution: Dynamically partition & scale correlation of patient data to all public data using Hadoop and Hbase

• Benefits: Contributes to 800x reduction in cost to process 4 Million genome variants

• Infrastructure and Data Characteristics: • 10 Node Hbase Cluster• Billions of pre-computed correlations

1 Genome 10 Million rows100 Genomes 1Billion rows

1M Genomes 10 Trillion rows

100M Genomes 1 Quadrillion 1,000,000,000,000,000 rows

Billions of Pre-computed Correlations

New Biomed Info-Products

Data Ingest

Telco- China Mobile Group GuangdongHadoop & Xeon optimized Big Data storage & analytics

• Challenge: Dealing with large volume of data and delivering real time access to Call Data Records (CDR) for billing self service

• Solution: Chose Hadoop + Xeon over RDMS to remove data access bottlenecks, increase storage, and scale system

• Benefits: Lower TCO, 30x performance increase, stable operation, analytics on subscriber usage for targeted promotions

• Data Characteristics: – 30TB billing data/month

– Real-time retrieval of 30 days CDRs

– 300k records/second, 800k insert speed/sec

– 15 analytics queries

– 133 server nodes

Summary

• Accelerating the adoption of big data analytics

• Engaging with ecosystem and end-customers to unlock the value of data

• Delivering the full end-to-end capability of Intel from the edge intelligent systems to servers in the datacenter or cloud and with the Intel Distribution for Apache Hadoop

Public Sector- Smart Traffic Intelligent Transport SystemHadoop for Predictive Analytics

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• Challenge: Analyze city traffic to derive statistics for crime prevention, info sharing, and predictive traffic analysis

• Solution: Embed HBase client in camera for real-time inserts of structured/unstructured data

• Benefits: • Automated queries for traffic violation

• Data mining of fake licenses <1 minute for all data captured for a week

• Predictive traffic forecasting

• Data Characteristics: • 30000 + camera data collection points• Petabytes of traffic data & terabytes of images• 2 billion HBase records

App Servers

Regional Data Collection

Distributed Processing Across District Nodes

Derived Analytics Services

Crime Prevention Citizen Traffic Services