#GeodeSummit - Modern manufacturing powered by Spring XD and Geode

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Modern Manufacturing Powered by Spring XD and Geode Speaker: Ram Palaniappan Date: March 09, 2016 Palo Alto

Transcript of #GeodeSummit - Modern manufacturing powered by Spring XD and Geode

Modern Manufacturing

Powered by Spring XD and Geode Speaker: Ram Palaniappan Date: March 09, 2016 Palo Alto

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Agenda o  Introductions

o  Today’s Challenges For Manufacturing Industry

o  TEKsystems Global Services Industry Solutions

o  Customer Success

o  TEKsystems Global Services Advantage

Change! Change! Change! “Change is something that is not offered, you need to bring the Change.” -BV Reddy

Right Foundations TEKsystems Global Services Overview

IT Services that are built on the

5,000 full-time employees

6,000+ clients

of the Fortune 500 82%

$3.7 billion annual revenue

Privately held company within Allegis Group, a

$10.8 billion enterprise

Global delivery network provides

five solution centers with access to IT professionals

worldwide

80,000 IT consultants deployed annually

WE help them ACHIEVE quantifiable OUTCOMES

93% of clients say

Ranked by Staffing Industry Analysts as No. 1 since 2000

Recruiting specialists speak with 100,000 IT professionals weekly

Achieved 30% higher client satisfaction versus the competition Client Retention

98%

Relationship network includes

OF THE domestic

IT workforce

81%

More than 100 locations throughout North America, Europe and Asia

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Strategy & Advisory Services

Discovery & Pilot/ POC Services

Data Science as Service

Implementation Services

Managed Services

Education and Training Services

What We Do:

Big Data

Challenges Manufacturing Industry

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Business Challenges Distributed Assets

Variety of Controllers and Operational Systems

No single view and cross plant / Asset/ Installbase analysis

High Entry Barrier/ IT Cost

Skillsets to manage

Operational data for analysis

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Technology Factors Influencing the Change

Mobility

Cost of Sensors

Cost of Bandwidth

Cost of Processing

Tools & Technology

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REPLICATING “GOLDEN BATCH”

Understanding “Manufacturing World”

C1 C2 C3

P1 P2

EQ1

S1 S2 S3 S4 S5 S6

Equipment Part Controller Sensor

External Conditions

Raw Material Quality

Operating Conditions

Processing Parameters

…….

Manufacturing Real World Application by Industry

o  Reliability-centered Maintenance o  Golden Batch Recommendation Engine o  Increased Overall Equipment Efficiency o  Extended Asset Life o  Improved Yield

Sources

Reference Architecture Manufacturing Industry

Manufacturing Data Sources

Sens

or D

ata

Stre

am

Dis

tribu

ted

Com

putin

g R

eal-T

ime

Dat

a

Mac

hine

Lea

rnin

g &

Pre

dict

ive

Ana

lytic

s

Dat

a La

ke

ERP

Real Time

Report

Self Service

Analytical Reporting

Analytical DW

Manufacturing Data Sources

Sprin

g XD

+ F

lo

R

Dat

a La

ke

ERP

Real Time

Report

Self Service

Analytical Reporting

Analytical DW

Manufacturing Data Sources

R

Dat

a La

ke

ERP

Real Time

Report

Self Service

Analytical Reporting

Analytical DW 9 Production Lines

540 Stations

1,490 Machines

11,920 Tags

715,200 Records/ Min

Sprin

g XD

+ F

lo

Dis

trib

uted

Run

time

Advanced & Predictive Analytics

Data Visualization Correlation

Neural Networks

Hypothesis

Heat Map

Big Data Industry Solution

Financial Services Real World Application by Industry

Sources

o  Customer churn analysis and prediction o  Cross-selling and up-selling services and portfolios o  Offloading large volume analytical data loads o  Customer segmentation o  Risk profiling

o  Fraud prevention o  Revenue leakage analysis

Rx and Life Sciences Real World Application by Industry

o  Accelerate Clinical Trials and Drug Innovations o  Improve determination of clinical trial outcomes

sooner o  Monitor and Improve Patient Adherence o  Improve Drug Effectiveness and Consumer Health

o  Improve Operational Efficiency

Sources

Customer Success Stories

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Optimize Operational Cost

o Quality of Data Captured

o Equipment Failures

o Trained On-board Professionals

Customer Success in:

Marine Seismic Data Industry

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Customer Success in:

Marine Seismic Data Industry

High Velocity of Data flow (app. ~ every

3 seconds)

Velocity

Near Real-Time access (within ~10 seconds

of data capture)

Near Real-Time

Large Volume of Data (~500 MB / Second)

Volume

~3 Trillion records 2,826,000,000,000

(1*20*100*471*500*6000)

Records

Technology to be deployed in Remote Location of the vessel with minimal IT support

Remote Location Minimal IT Support

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Before

After

Customer Success in:

Marine Seismic Data Industry

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Japanese multinational video game company specializing in a variety of areas in the video game industry and is a wholly-owned subsidiary of the Consumer Products & Services Group of Sony.

Before

After Customer Success in: Gaming Industry

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Why TEKsystems Global Services for your Big Data Solutions?

Value Proposition

o  Proven track record with Big Data Initiatives from Pilot to Production for large organizations

o  Tag Data Integration Accelerator in collaboration with device integration partners supporting 50+ equipment manufacturers

o  Leveraged domain expertise across multiple verticals

o  Source system expertise providing accelerated solutions

o  Packaged offerings with Industry reference models

o  Dedicated COE and Big Data R&D Lab

o  Successful onsite-offshore blended delivery model providing lower TCO

JOIN THE APACHE GEODE COMMUNITY!

•  Check out: http://geode.incubator.apache.org

•  Subscribe: [email protected]

•  Download: http://geode.incubator.apache.org/releases/

Ram Palaniappan Senior Director [email protected] +1.408.680.3010

Thank You