Placeholder confidentiality disclosure. Edit or delete from layout master if not needed.Use this second line if additional confidentiality disclosure information is required.

Predix OverviewAndrea LimVice President, Predix IIOT Platform

Confidential. Not to be copied, distributed, or reproduced without prior approval.

Why an industrial computing platform?

• Needs that span systems

• Implementation cost considerations

• Reduce risk

• Faster innovation

• An extensive ecosystem

The industrial world creates new technology challenges

Confidential. Not to be copied, distributed, or reproduced without prior approval.

Why Predix?

Complex Assets (oil rigs, airplanes)

Complex Environments (in the sea, sky)

Complex Operations (simple >>> custom)

Complex Compliance (managing controls)

Complex Geographies (global reach, disconnected)

Asset Models & Digital Twins

Industrial Edge to Cloud OS

Industrial Application Services

Industrial Governance and Security

Industrial Architecture (multi-cloud)

Industrial Challenges: Predix Differentiators

Predix solves for industrial computing challenges

Predix: Real world industrial computing from Edge-to-Cloud

Confidential. Not to be copied, distributed, or reproduced without prior approval.

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APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR

Agreed / Committed Proposed / EvaluatingLEGENDSeptember

25, 2017Peer 150Digital Twins

GE Digital

High-Performance ML Leveraging Predix

Predix Executive Update - Not for distribution 6

• Production-grade machine learning with a system engineering perspective: tight coupling of ML and Predix development

• Merging domain-expertise, physical understanding of assets, and data-driven modelling

• Transparent (i.e. interpretable) and fault tolerant ML

• Intelligent applications portfolio built upon our concept of the Digital Twin which enables us to derive repeatable & predictable data-driven behavior

Fundamental premise of ML: teach computers to mimic human decision making on data driven workflows, inferring a complex & continuously improving set of business rules based on past behavior and outcomes.

Machine Learning for Industry

Driving High-Performance, Scalable, Secure ML Applications

Example ML App for GE Oil & Gas

Goal: >10x efficiency without loss of reliability

GE Digital

+

seam detected

Crack

Terabytes of

Inspection data

Aggregate 100s of TBs of historic

data to enable learning from

experience

Advanced machine learning generates

more accurate insights

Surfaced to analysts to improve

performance, drive consistency, & repeatability

Our Goal: Drive Zero-Pipeline Failure

Confidential. Not to be copied, distributed, or reproduced without prior approval.

Predix StudioRapidly build, extend, and reuse applications with a cloud-based development environment for industrial use cases

Easy to Deploy…Accelerate Time to Value…Low Code Required...

Promote apps from dev to production through a simplified deployment process

Leverage a common app development framework with automated data integration

Enable “citizen” developers to build and extend apps with a drag-and-drop low code experience

Subject Matter Expertise

Basic Technical

Skills

Citizen Developers

Confidential. Not to be copied, distributed, or reproduced without prior approval.

Demo

Confidential. Not to be copied, distributed, or reproduced without prior approval.

There are many ways to consume Predix

IaaS

DIGITAL TWIN/ ASSET MANAGER/ MICROSERVICES

PREDIX STUDIO/ APP ENGINE

Industry/ domain specificCustomers/partners/3rd

parties

Quick/simple development, shorter time-to-use, minimal support required

Stuff that makes us go - dev. sophistication, direct access to core platform technologies

Advanced development expertise, higher level of required support

APPS APPS APPSAPPS APPS

Confidential. Not to be copied, distributed, or reproduced without prior approval. 11

Confidential. Not to be copied, distributed, or reproduced without prior approval. 12