Unlocking the power of Data:

Data Driven Product EngineeringBuilding Technology Organizations of Tomorrow

Evren Eryurek, PhD

GEHC Software CTO

MARCH 2015

2

Technology center of gravity is shifting

Old IT

Stack

Analytics

• Business Analytics Market to

reach $50.7B

by 2016

• 15.2% year-over-year

• Market $7B devices

• Mobile app development

Mobile

• Market $13 trillion over

15 yrs

• Consumer Grade

• NoSQL, Hadoop movement

• Industrial-strength

Industrial

Internet ][

• Market $9B growing at CAGR 12%

• Embedded in smart devices

Intelligent

Sensors

New

Platform

• Lifecycles are measured in years - at an average of 18 years

• Points of integration between IT & OT

OT

Security

• Market $11B in size and growing at

33%

• Volume, Velocity, Variety, Veracity

Big

Data

• Market $24B in size and growing

at 23%

• Private and hybrid

Cloud

Computing

© General Electric Company, 2014. All Rights Reserved.

3

Industrial Internet

What Happened When

1B People Became Connected?

What Happens When

50B MachinesBecome Connected?

Operating Time is Virtualized

Analytics Become Predictive

Machines Self-Heal with Automation

Monitoring & Maintenance is Mobilized

Productivity/Decision-making Increase

Enables dramatic improvements in outcomes by combining analytics with new

forms of collaboration above isolated machines, workflows and data

Entertainment is Digitized

Social Marketing Emerged

Communications Mobilized

IT Architecture Virtualized

Retail & Ad Transformed

4

A convergence of enabling technologies issetting the stage for industry transformation

1 $27B by 2017 for Mobile health services:

The market for mHealth services has now entered the commercialization phase and will reach $26 billion globally by 2017 according to new “Global Mobile Health Market Report 2013-2017” by

research2guidance. The report is one of the leading publications in the mHealth market. Companies that have purchased previous editions of the report includes: Agfa Healthcare, DTAG, Fresenius,

Fujitso, GE Healthcare, LG, Nokia, Novartis, Pfizer, Qualcomm, Roche, Roland Berger, Sanofi Aventis and many more.

Analytics

4Internetof Things

1IntelligentMachines

2Big Data

3

“Hospital of Things” plethora of devices

Accelerating Bio-sensor market/use

Mobile healthcare explosion –$27B by 20171

Machines protecting and treating patients

Devices for new care givers and settings

Algorithms as updatable content

High volume of data from physiology monitoring

Care shift from population median to high-def

individual

Forecasting and predicting future health

End of fee-for-servicemodels drives data collect and

analysis

5

Software Modernization Required

6

Ingredients of Modernization

Optimizing SW portfolio to maximize customer success

UserExperience

DataScience

AdvancedResearch

CommercialStrategy

CloudServices

Architecture

New business, operations and technology models

Promoting rapid integration of new research into solutions

Unifying service-based SW on protected automated

environ

Persona and context driven for increased adoption

Automated DevOps environ with Scaled Agile processes

Descriptive, predictive, and prescriptive analytics

Development

Security strategies to prevent, detect and address risks

Cyber Security

7

GE Approach to the Industrial Internet

8

What is Big Data? And how to take advantage of it?

VolumeData Quantity

VarietyData Types

VelocityData Speed

ValueData Impact

9

Industrial big data – fast and vast

*Source: IDC

50BMachines will beconnected on theinternet by 2020

2XIndustrial datagrowth withinnext 10 years

*Source: IDC

CRM, ERP,etc. Logs

Social networkdata

Geo-locationdata

9MMData points

per hour for eachlocomotive

500GBData per blade

by gasturbines

Sensordata

Content(images, videos,manuals, etc.)

Historiandata

Machinedata

35GBData per day

from eachSmart Meter

50XData growthin healthcare(2012 – 2020)

1TBData per

flight

In practice only

3%of potentially useful

data is taggedand even lessis analyzed*

10

Intelligent Hospital

Customer challenges

Diagnostic quality

Patient-centric care

System profitability

Chronic Disease Management

29%Healthcare spend wasted

each year

$260BAnnual value creation

through healthcare IT

59%US lives covered in value-

based care model by 2015

Clinical

Quality Financial Performance

Operational Efficiency

Configurable

Workflows

11

Radiology Example: Reading protocols

12

GE Machine Learning in ActionSmart Reading Protocols

Data Snapshot

Info Fusion

Text Mining

Inference Engine

The Challenge

• Extremely complex &

error prone to configure

what images to display

where for radiologist

interpretation

• Hospitals spending $$$

in lost productivity on

non-value-add work

• Entire industry

struggling with this for

20 years

The Outcome

• 50% time savings

for exam

preparation

• Robustness &

accuracy

• Ease of use

• Ease of

maintenance

The Process

13

O&G Example: The Intelligent pipeline

Efficient dig &

excavation activities

Enhanced, digital

assessment for

pipelines

More complete and

near real-time MAOP

Automated creation

of dig sheets

Data-driven prioritization of repairs /

replacements

More accurate

validation of asset

data

Faster condition

assessment & closure

Delivering Safe & Efficient Outcomes in Oil & Gas

14

GE’s SDMs are brilliant machines

1. More uptime, due to ‘hot’ software

upgrades

5. Resiliency and efficiency, with standard way to develop and

deploy machine apps

3. Unlimited compute, with standard distributed architecture

from edge to cloud

2. Automated software updates, without change in

hardware

4. Interoperable machines, with standard interfaces that apply

across machines

Aviation Example: Software defined everythingA standard way to develop & deploy machine software

15

Transportation Example…

CSX – Productivity

Velocity NS – Dwell

UP – Safety

Dwell

ProductivitySafety

16

Time is now

DataTime Series

Multimodal

Interaction based

AnalyticsStatistics & machine learning based

Physics-based

SensorsOrder magnitude growth per machine every 5 yrs

Video most underutilized sensor

ConnectivityField force automation

Autonomous system

ApplicationsAsset optimization

Operations optimization

Data

Machines

Analytics

© General Electric Company, 2014. All Rights Reserved.

17

AT GEWE PUT OUR

IDEAS TO WORK

TAKING THEM OFF THE PAPER

OUT OF THE LAB AND INTO

THE WORLDENGINEERS SCIENTISTS TEACHERS LEADERS AND DOERS

ALL SHARING A BELIEF

THAT THINGS CAN BE MADE

TO WORK BETTERIT’S WHY WE GET UP IN THE MORNING

IT’S WHY WE COME TO WORK

EVERY DAY

TO BUILD CURE POWER

AND MOVE THE WORLD

WE ARE AT WORK

MAKING THE WORLD

WORK BETTER

© General Electric Company, 2014. All Rights Reserved.

Thank You