Overview of IIC andIndustrial Analytics:
Fueling the IIoT Revolution
Wael William Diab
IIC Liaison WG Chair, Technology WG Chair, Industrial Analytics TG Chair
IIC SC Member
Senior Director, Huawei
3rd RRI International Symposium, November 2017

Acknowledgements
Eric Harper (ABB)
Shi-wan Lin (Thingswise)
Stephen Mellor (IIC)
Will Sobel (Vimana)

2017年12月6日

2

AgendaOverview of IIC
Industrial Analytics Task Group: Overview and Motivation

Industrial Analytics Framework (IIAF)
Looking Ahead: What’s on the Horizon for Industrial Analytics
Concluding Remarks
2017年12月6日

3The Industrial Internet is leading the next economic revolution

GDP data extracted from the Futurist 2007

4

Yet there are current roadblocks to widespread adoption
59% of IT Pros Say They

Data
Have NotBig
StartedPreparingfor Expected Data Increase

73% of Companies Have

Industries
Not Made
Concrete Plans for
the Industrial Internet
Many Countries Have
Insufficient Conditions toGovernment
Support Widespread
Adoption

3% of IoT Professionals Say
Connectivity
Connectivity
is the Biggest
Challenge

Data Standards are Largely
Proprietary,Works-inStandards
Progress, or Non-Existent

The Industrial Internet:
A $32 trillion opportunity

14% of IoT Professionals

Security
Say Security
is the Biggest
Challenge

36% of Executives Say

70% of IoT Professionals
Technology is the
Say Interoperability
Biggest Challenge
Research into the Industrial
Internet Research
has Only Existed in
the Past 3 Years

Urgent Need to Refocus
Education to Prepare for the
Academia
Upcoming Digital
Workplace

SystemSystems
Barriers Between
Departments
Prevent
Integration
Collection and Correlation of
Data

5The IIC Global Ecosystem of Stakeholders:Things are coming together

Big Data

Connectivity

Industries

Government
Technology
Things are coming together.

SecurityStandards

Research

Academia

Systems Integration
6

Industrial Internet Consortium Vision & Mission
Vision: The Industrial Internet Consortium (IIC) is the world’s leading organizationtransforming business and society by accelerating the Industrial Internet of Things(IIoT).
Mission: Our mission is to deliver a trustworthy Industrial Internet of Things (IIoT) in
which the world’s systems and devices are securely connected and controlled to delivertransformational outcomes.
An open, neutral “sandbox” where the IIoT Ecosystem of global industry, academia andgovernment meet to collaborate, innovate and enable.
• More than 250 organizations from more than 30 countries and growing• 27 active testbeds all over the world from more than a dozen different segments• Numerous publications including Reference Architecture; Security Framework; Analytics WP
The IIC is an open, neutral “sandbox” where industry, academia andgovernment meet to collaborate, innovate and enable.

IIC Founders, Contributing Members, & Large Industry Members
IIC Founding and Contributing Members

IIC Founders, Contributing Members, & Large Industry Members

9IIC Small Industry Members

IIC Small Industry Members

IIC Nonprofit, Academic, & Government Members

Business Strategy and Solution Lifecycle
Business Strategy

Solution Lifecycle

Project
Specifications& Reports

Project Toolkit

IIoT TECHNOLOGIESIIRASecurity
Framework

Topics andThemesBusiness Model,
Project Mgmt,
Practices

Requirements
for Standards

Architecture&Design

Testbeds& Projects
IIC
General IIoT Ecosystem

Organizational Structure of theIndustrial Internet Consortium

2017年12月6日

14Technology Working Group
Charter: To define and develop common
architectures, by selecting from standards available toall, from open, neutral, international, consensus
organizations and reviewing relevant technologies thatcomprise the ecosystems that will make the industrial
internet work.
The Technology WG presently has 12 teams:••••

Architecture Task Group
Reference Architecture Editing Contributing Group
Connectivity Task Group
Distributed Data Interoperability & Management Task
Group
• Industrial Analytics Task Group• Edge Computing Task Group

•
•
•
•
•
•

Innovation Task Group
IT & OT Task GroupInteroperability Task Group
Safety Task Group
Verticals Taxonomy
Vocabulary Task Group15

Architecture Description for IIC
Built on Top of ISO/IEC/IEEE 42010:2011

Biz View

Stakeholders
Usage View
Biz decision makers
System Engineers
Product Managers

biz values, objectives & capabilities

Why

System Engineers
Product Managers
System Architects

Business Viewpoint
Usage activities

Verb

Functional View
Functional decomposition & structureInterfaces & interactions

What
Architects
Engineers
Developers
Integrators
Deployment
Operations

Usage Viewpoint

Noun

Functional Viewpoint
Activity &functional to technologies mapping

How

Implementation Viewpoint
Implementation View

16

Security Working Group
Charter: To define a security and privacy framework to be applied to technology adopted by the IIC. The
framework will establish best practices and be used to identify security gaps in existing technologies.

Current Priorities:• Build End-to-End Security Use Cases• Apply Security Use Cases to each of the Use Case Groups• Derive requirements from each Use Case
Identify what is common (architectural)
Identify what is one-off (application-specific)• Design Secure Integration Framework based on combined use
cases (with Technology Team) - II Security Framework v1.0
Published September 2016
• Build testbeds - Testbed Evaluation Documentation

Business Strategy & Solution Lifecycle (BSSL) Working Group
Charter: To provide guidance and best practices for all aspects of developing andoperating an Industrial Internet solution: business-case creation, architecture
design, technology selection, implementation, testing, rollout and operations.
Goals:• Help companies leverage the potential of the Industrial Internet• Increase return on investment, manage project risks more efficiently, andestablish a foundation for evaluating solutions and their compliance.
• Provide a foundation for defining Industrial Internet Systems certification andcompliance programs, to be shared within and outside of the Industrial Internet
Consortium.
• Business Strategy for Industrial Internet of Things Task Group• Use Cases Task Group, Ecosystem Task Group18

The IIoT Ecosystem: Criticality of Liaisons
IIC has more than 28 existing liaisons and currently has 36 more in flight!
That’s impressive for an organization that had its 3rd birthday on March 27th, 2017!
Below is a sample of the ecosystem that IIC is creating in the industry

December 6, 201719

Building Coalitions to Address the IoT Ecosystem
IIC Vision: The Industrial Internet Consortium (IIC) is the world’s leading organizationtransforming business and society by accelerating the Industrial Internet of Things(IIoT).
IIC Mission: Our mission is to deliver a trustworthy Industrial Internet of Things (IIoT)
in which the world’s systems and devices are securely connected and controlled todeliver transformational outcomes.
LWG Mission: The IIC Liaison Working Group Facilitates external interactions with the goal of building relationships for IIC
 Coordinates internal stakeholder requests and interest with external organizations

Building Coalitions to Address the IoT Ecosystem
Liaison Working Group Strategic Objectives
 Build and coordinate collaborative, working relationships inclusive of governmentorganizations, formal standards development organizations and open source industry
organizations
 Working with peer working groups, identify gaps in the portfolio of IIC and create thenleverage relationships for IIC
 Make strategic recommendations to IIC Steering Committee to grow ecosystem
Example areas of collaboration
 Joint workshops conducted with partners
 E.g. IIC:IVI (Japan), IIC:CAICT (China), IIC:I4.0 (Germany), IIC:EEC (Industry) Technical workshops e.g. recent technology and security workshop with NIST
 Liaison partnerships with organizations focusing on verticals
 Liaison partnerships with global SDOs focused on IoT technologies
 E.g. ISO/IEC JTC 1/SC 41 (IoT), ISO/IEC JTC 1/SC 27 (Security), oneM2M, IEEE P2413 and 802.24 etc.

 Liaison partnerships with global SDOs focused on related areas E.g. ISO/IEC JTC 1/WG 9 (Big Data)

The IIC and standards organizations

The IIC is not a standards organization.
Requirements aredifferent for the
Industrial Internetcompared toconsumer IoT.

The IIC will:• establish a reference architecture• evaluate existing standards against it• identify requirements, and• propose these requirements to standards organizations

22

Marketing Working Group
Charter: To establish the Industrial Internet Consortium as a community thatchampions innovation in connected intelligent machines and processes.

Current Priorities:• Ensure that the strategy of the IIC is carried out• Increase market awareness of the Industrial Internet
and the IIC• Create compelling new content around innovationthat is happening/innovation to come• Focus on thought leadership and vertical markets

23Testbed Working Group
Charter: To accelerate the creation of testbeds for the Industrial Internet.
Testbed Lifecycle Phases
Task:

What? Why?

How? How Much?

Phase:

Concept

Feasibility

Goal:

Approval

Planned/Resourced

CreateExperimentOperation

Development

Operational

Results

Current Priorities:• Assist members in identifying, defining and gaining approval for their testbeds• Identify and communicate funding resources for IIC testbeds• Provide processes and infrastructure for efficient & effective operations
30

Current Publicly Announced Testbeds

31

What is an IIC Testbed?
CONTROLLED EXPERIMENTATION PLATFORM~conforming to an IIC technical references,where solutions can be deployed and tested inenvironments resembling real-world conditions
Explore untested technologies or existing technologies
working together in an untested mannerBusiness Model,
Project Mgmt,
Practices
Project
Specifications& Reports
Architecture&Design

Create innovative new products, services, and business practices
Generate requirements and priorities for standards organizations

Testbeds& Projects
32
Content restricted
to IIC32

Testbed Results
Innovation• What innovations have been realized? Any industry impact?
• What best practices have been learnedStandards• What noteworthy standards does the testbed employ? Their purpose?
• What noteworthy standards is the testbed influencing? Which SDOs?
• What gaps have been identified that should become a future standard?
Technical References• What changes would you like to see in IIC Technical References?
• What influence has the testbed had on IIC Technical References?
33

AgendaOverview of IIC
Industrial Analytics Task Group: Overview and Motivation

Industrial Analytics Framework (IIAF)
Looking Ahead: What’s on the Horizon for Industrial Analytics
Concluding Remarks
2017年12月6日

34

Industrial Analytics is Part of the Technology Working Group
Charter: To define and develop common architectures, byselecting from standards available to all, from open,
neutral, international, consensus organizations andreviewing relevant technologies that comprise theecosystems that will make the industrial internet work.
Chairs: Diab (Huawei), Harper (ABB), Lin (Thingswise)

The Technology WG presently has 11 standing task groups:• Architecture Task Group• Connectivity Task Group• Distributed Data Interoperability & Management Task
Group
• Edge Computing Task Group• Industrial Analytics Task GroupAnd a number of contributing groups

•
•
•
•
•
•

Innovation Task GroupInteroperability Task Group
IT & OT Task Group
Networking Task Group
Safety Task Group
Vocabulary Task Group35

Technology Working Group Organization
Technology
Working Group

Architecture TG

Connectivity TG

Edge Computing
TG

DDIM TG

Industrial
Analytics TG

Innovation TG

Interoperability
TG

IT & OT TG

Networking TG

Safety TG

Vocabulary TG

Industrial Analytics Task GroupWho We Are and What We Do?
MissionThe IA Task Group is responsible for comprehensibly defining the properties of realizable analyticaltechniques and methods for deriving meaning from, and adding value to, industrial systems.

Scope
To achieve its mission, the task group:• Will deliver a technical report detailing capabilities, requirements, existing and new open standards, andtechnologies presented in an Industrial Internet Analytics Framework• Influence / drive requirements in other IIC teams and working groups• Catalog various technology choices for analytics• Analytics on both data in motion and at rest
• Hierarchical and distributed considerations of industrial analytics• Data integrity interactions for analytics• Analytics for safety and security of operation

Chairs: Diab, Wael William (Huawei), Harper, Eric (ABB), Sobel, Will (System Insights)

Membership: 120 members from 60 organizations represented per Kavi as of 11-06-201737

Industrial Analytics Task GroupWork and Deliverables Landscape
Initial deliverables are a White Paper and Industrial Internet Analytics Framework
Group’s target schedule is• Q1 2017 for White Paper  Completed 0317
• Q3 2017 for first release of Framework  Completed 1017
• Q2 2018 for second release of Framework  Initial exploratory phase
Internal stakeholder for liaison relationships• E.g. ISO/IEC JTC 1/WG 9 (Big Data), MESA

Membership engagement Initiatives• Invited speakers• Host Industrial Analytics panels (session and plenary)
Represent IIC IA topics at liaison partner events and external engagements• Big Data workshop (JTC 1/WG 9 in Ireland), analyst/reporter calls and today!
Coordinate industrial analytics interests within Technology Working Group family e.g. Edge, Safety, Vocab etc.
Collaborate with internal stakeholders outside of TWG e.g. I3C, LWG, BSSL, Marketing etc.
Identify and work on cross-cutting issues related to analytics

38

IIC Industrial Analytics General Session Expert Panel (Dec 16)• Participants• Wael Diab (Huawei) Co-Chair / Moderator• Eric Harper (ABB) Co-Chair• Nilesh Auti (TechMahindra) Panelist• Terrence Barr (Electric Imp) Panelist• Brent Hodges (Dell) Panelist• Shi-Wan Lin (Thingswise) Panelist• Shyam Nath (GE) Panelist• Sven Schrecker (Intel) Panelist• About 70+ in the audience• Topics included• Overview of Analytics in the ecosystem• Tiered analytics• Technical challenges and opportunities
for analytics• Safeguards in the system design• Use cases and vertical examples• Smart security for analytics
39

International data analysis workshop (5th JUNE, 2017)10 speakers, About 200 participants from 100+ entities, in CAICT, Beijing

41

AgendaOverview of IIC
Industrial Analytics Task Group: Overview and Motivation

Industrial Analytics Framework (IIAF)
Looking Ahead: What’s on the Horizon for Industrial Analytics
Concluding Remarks
2017年12月6日

42Introducing IIAF
• This presentation provides an overview of the Industrial IoT Analytics Framework (IIAF)• Is a first-of-its-kind blueprint that addresses the entire industrial analytics ecosystem• The target audience is IIoT decision makers, such as system architects / designers andbusiness leaders, looking to successfully deploy industrial analytics systems• Provides information about concepts and components of the IIoT system, whicharchitects require to develop and deploy a viable analytical system in an industrial setting• Takes into account industrial requirements, goals and cross-cutting concerns. Maps
analytics to the supported IIoT applications, ensuring that business leaders can realize
43
the full potential of analytics and thus enable more-informed decision making

Industrial Analytics: The engine driving the emerging IT/OT revolution
MAIN TOPICS• Framework overview• Business View Point• Creating Business ValueOT Focus• Usage View Point• Getting started with Industrial Analytics• Functional View Point• Implementation View Point• Design considerations• AI and Big Data
• Analytic Methods & Modelling• System Characteristics andCrosscutting Functions Related toAnalytics
2017年12月6日

IT Focus
Traditional enablement

•
•
•
•
•

Efficiency
Utilization
Consistency
Continuity
SafetyIIoT enablement
Impacts:
•
•
•
•
•
•

Data
Analytics
Interconnect
ControlInteraction
Insight•••••

Agility
Cost
reduction
Security
Speed
Business
Insight44

Industrial IoT Analytics Framework Overview
Provides guidance and assistance in the development,
documentation, communication and deployment ofIndustrial Internet of Things Analytics Systems.
The IIAF does this by taking a holistic view of the entire
industrial IoT ecosystem that the analytics is operating in.
A number of view points are considered along withemerging technologies in this space and cross-cutting
concerns:• Business viewpoint• E.g. Creation of Business Value• Usage View Point• E.g. Getting started with Industrial Analytics• Functional View Point• E.g. Analytics Architecture Objectives and Constraints• E.g. Analytics Functionality• Implementation View Point• E.g. Design considerations• E.g. Analytics Capacity Consideration• Artificial Intelligence (AI) and Big Data
• Analytic Methods & Modelling• System Characteristics and Crosscutting Functions
Related to Analytics“

Analytics may be broadly defined
as a discipline transforming data
into information throughsystematic analysis. Industrial
Analytics is the use of analytics in
IIoT systems.

“

Within the
Industrial space, themerger of IT and OT isproviding forinnovation andcreating disciplines
such as condition
monitoring toincrease uptime andreduce operationalcosts (OpEx)“”

If data is thenew oil, data
analytics is the
new engine thatpropels the IIoTtransformation.

IIAF Architectural Description Built on ISO/IEC/IEEE 42010:2011
Biz View

Stakeholders
Usage View
Biz decision makers
System Engineers
Product Managers

biz values, objectives & capabilities

Why

System Engineers
Product Managers
System Architects

Business Viewpoint
Usage activities

Verb

Functional View
Functional decomposition & structureInterfaces & interactions

What
Architects
Engineers
Developers
Integrators
Deployment
Operations

Usage Viewpoint

Noun

Functional Viewpoint
Activity &functional to technologies mapping

How

Implementation Viewpoint
Implementation View

46

Business View Point – Creating Business Value
What is it? Attends to concerns of the identification of stakeholders and their business vision, values
and objectives in establishing an industrial analytics system in its business and regulatory context
Why is it Important? IA provides crucial insights for decision makers, which in turn translate to anincrease in the efficiency of labor and capital, which determine long-term GDP growth

A survey by Deloitte shows predictive analytics to beat the top of the list“

Industrial
analytics, applied tomachine data for
operational insights,
is as an engine
driving theconvergence of OT
and IT, and ultimately
value creation for the
Fourth Industrial
Revolution.

A survey by IoT Analytics GmbH found 69% of business leaders consideindustrial analytics crucial for their businesses within 5 years

Usage View Point – Getting Started with Industrial Analytics
What is it? Addresses the concerns of expected system usage.

“Industrial analytics are used to identify and recognize machine operational and behavioral
patterns, make fast and accurate predictions and act with confidence at the points ofdecision”

Analytics fall into 3 areas: Descriptive
 Predictive
 Prescriptive
The framework introduces
unique requirements
when planning to deploy
industrial analytics

Functional View Point – Architecture Objectives and Constraints
What is it? focuses on the functional components in an industrial analytics system, their structure and interrelations and therelation and interactions of the system with external elements, to support the usages and activities of the overall system.

An end-to-end IIoT systemin the IIRA is functionallydecomposed into fivefunctional domains: Control Operations
 Information
 Application
 Business

Figure 4-1. Analytics Mapping to the Industrial Internet Reference ArchitectureImplementation View Point – Design Considerations
What is it? Deals with the technologies needed to implement functional components (functional viewpoint), theircommunication schemes and their lifecycle procedures. Major sections include design and capacity considerations as well as
deployment models and data preprocessing, transformation and curation. Below is an example of design considerations“One of the common questions is where the analytics should be performed.”

Considerations such as scope,
response time and reliability,
bandwidth, capacity, security,
volume, velocity, variety,analytics maturity, temporalcorrelation, provenance,compliance etc. determine
where the analytics run.
The framework introduces atable with these factors

Emerging Technologies – Artificial Intelligence and Big Data
What is it? Innovations in a number of areas related to AI and Big Data are being applied to IA. The framework looks attaxonomies of artificial intelligence and emerging computational techniques in big data in relation to industrial analytics.

“

In IIoT applications, machinelearning and deep learning provide
new approaches to build complex
models of a system or systems using
a data-driven approach.

“

Big data requires computational
systems and networks to be designed
around the data. It will transform how
businesses operate and thedigital/physical divide.

Figure 6-2 Artificial Intelligence (AI)2017年12月6日
Figure 6-8 Deep learning workflow

51

Example of Multi-Typed Data Processing in Big Data Analytic Systems

Analytics Methods and Modelling – Model Building
What is it? Survey of methods, models, algorithms and frameworks used for industrial analytics applications.

Figure 7-4 The model building process

Figure 7-5 Splitting data for cross validation

Figure 7-6 Confusion matrix showing types of classification errors for a binary classification problem

Relationship with other IIC documents

Figure 1-1 IIC Technical Publication Organization2017年12月6日

53Key takeaways• As a fledgling discipline combining advances in mathematics, computer scienceand engineering in the context of Information Technologies (IT) and Operational
Technologies (OT) convergence, industrial analytics plays a crucial rule in the
success of any IIoT system• The IIAF is the first blueprint that decision makers, such as IIoT system architects
and business leaders, can use to deploy industrial analytics systems• The IIAF provides a common understanding and encourages interoperability
across the IIoT ecosystem• Takes into account industrial requirements, goals and cross-cutting concerns
2017年12月6日

54

AgendaOverview of IIC
Industrial Analytics Task Group: Overview and Motivation

Industrial Analytics Framework (IIAF)
Looking Ahead: What’s on the Horizon for Industrial Analytics
Concluding Remarks
2017年12月6日

55

Industrial Analytics Task Group
What is on the Horizon for Industrial Analytics
It is a very exciting time to be working on analytics, please join us!
• Tremendous reception to the IIC White Paper and IIAF
• Emerging technologies such as Big Data and AI fueling the analytics evolution• Increasing recognition of the its importance and real world deployment
Evangelize the work of IIC on Analytics• Continue with the rollout of IIAF and related publications (e.g. JOI)
• Translation of IA TG deliverables• Extension of deliverables for specific geographies and verticals• Engage with liaisons, develop new liaisons, expert speakers and planning panels
Launch work on the next release of the framework – IIAF 2.0• Brainstorming on next gen work including depth, breadth, cross-cutting, verticals etc.
• Formalizing the ideas into a plan and starting the work on the document
Within IIC, develop crosscutting areas further and deeper collaboration with Testbeds and BSSL

Goal is build upon the successful IIAF and continue to expand the IA blueprint 56

AgendaOverview of IIC
Industrial Analytics Task Group: Overview and Motivation

Industrial Analytics Framework (IIAF)
Looking Ahead: What’s on the Horizon for Industrial Analytics
Concluding Remarks
2017年12月6日

57

Concluding Remarks: It Takes An Ecosystem!
Big Data, Analytics and IoT are 3 sides of the same coin!
• IoT is focused on sensor networks that source the data
• Big Data is focused on compute architectures that process the data
• Analytics is focused on the consumption of the data to create value
Successfully deploying industrial analytics is key to realizing the full IIoT business potential• Requires consideration of the technology, industrial requirements, verticalapplications driving the business and a look at the entire platform
IIAF is a first-of-its-kind blueprint for decision makers that addresses the entire ecosystem

IIC, its Technology WG and IA TG are working with a coalition of partners. For instance*• IIAF that defines the overall framework, business drivers and reference requirements• ISO/IEC JTC 1/WG 9 (Big Data) is looking at the compute BDRA• ECC is working on edge technologies• CAICT/AII is looking at the entire ecosystem and providing a China perspective* Above not a comprehensive list but for example

Concluding Remarks:
IIC Analytics White Paper and Framework Useful Links
IIAF (Published 1017)
https://www.iiconsortium.org/pdf/IIC_Industrial_Analytics_Framework_Oct_2017.pdf

White Paper (Published 0317)
https://www.iiconsortium.org/pdf/Industrial_Analyticsthe_engine_driving_IIoT_revolution_20170321_FINAL.pdf

Press release on IIAF
http://www.businesswire.com/news/home/20171024005049/en/Industrial-InternetConsortium-Publishes-Industrial-IoT-Analytics

Video Discussing IIC’s Industrial Analytics
https://youtu.be/g0rs5YlMqtA
2017年12月6日

59Community. Collaboration. Convergence.

Things are coming together.
www.iiconsortium.org

November 2017