Seminar Participants Will Learn: 1. How to develop digital strategies for IIoT projects 2. How to advance my STEM career in the global digital economy 3. How to identify key requirements in IIoT for business leadership 4. What career opportunities are available in IIoT 5. How to measure the success and value of IIoT adoption and practices

1. Click to edit Master title style
Industrial Internet of Things (IIoT)
Exploring Career and Business Opportunities
in the Digital Economy
for STEM Professionals
Seminar 1408
Rm 251 C – Level 2
Jem Pagán
President
BluSky

2. (Seminar 1408)
Industrial Internet of Things (IIoT)
Exploring Career and Business Opportunities
in the Digital Economy
Seminar 1408
Rm 251 C – Level 2

3. Seminar participants will explore…
• digital strategies for IIoT projects
• STEM careers in the global digital economy
• career opportunities in IIoT
• how to measure the success and value of IIoT adoption and practices

4. IIoT STEM Professionals - FAQ
• What professional skills are required to explore career advancements in IIoT?
• Where and how to begin?
• Why is business process analysis so important in IIoT adoption?
• Which markets are adopting IIoT today and in the next 2-3 years?
• What is the value proposition for IIoT adoption?

5. Market Outlook for Industrial IoT
IDC’s Worldwide Semiannual Internet of Things Spending Guide
• Predicts global spending in IoT will grow from $800 billion in 2017 to $1.4 trillion
by 2021.
• This increase is attributed to continued investments made by organizations in the
hardware, software, services, and connectivity that enables IoT.
• The goal of these IoT investments? To drive operational efficiency and drive
revenue growth.

6. Internet of Things (IoT)
6
Internet of
Things

7. Industrial Internet Consortium - Reference Architecture for IIoT

8. IoT monitoring provides visibility into connected device applications for real-time performance diagnostics and usage
analytics, to quickly understand and resolve performance issues and correlate business performance with IoT
application performance
Ref: AppDynamics IoT monitoring architecture

9. KPI visualization to the user. An architectural view diagram of the approach is presented in Figure 2,
Principally, the diagram depicts the components and their interconnections. The five components are:
The Knowledge based System Service, the Manufacturing Plant, the Orchestration Engine, the KPI
Implementation and the User Interface, which is the component that provides the users with the
visualization of selected KPIs. The implementation of the latter component was the task left as
further work in [15], i.e., the principal contribution of this article. Besides the implementation of each
component, the results shown in Section 5 illustrate the different graphs that are included in the user
interface, which provides the visualization of KPIs.
Manufacturing Plant
User Interface
Orchestrator Engine
Knowledge Based
System Service
KB
KPI Implementation
A + B = C
D – E = F
Measuring and Managing IIoT Business Performance

10. Industrial Use Cases for IIoT
the transportation
industry is using sensors
to improve fuel usage in
planes and trucks,
the industrial sector is
using IoT to reduce gas
leaks.
Environmental sensors
for humidity, CO2, and
electricity sensors also
help reduce energy costs
for buildings.

11. What is Driving IIoT Adoption?
• IIoT is the bridge between our physical world and digitized world (Digital Twin Theory)
• IIoT unlocks access to data that has not been available through legacy technologies
• IIoT is business strategy and technology become tightly coupled
• The need in industrial automation to reduce risk, improve productivity and grow revenues
• The future ’Single Source of Truth”

12. Embrace Disruption – It’s the Pathway to Professional Development
• Challenge yourself to add a cross-disciplinary strategy to your career development
• Analyze your work place, learning experiences and culture for insights into how IIoT can be
leveraged to your organization’s advantage
• Be apart of the innovation eco system. Join advanced organizations an participate in technology
adoption standards
• Embrace Life Long Learning as a personal philosophy– continuously asking how can data
provide insight?

13. Future Careers In IoT
 Life Science R&D
 Biomedical Engineering
 Chemical Engineering
 Computer Science
 Computer Engineering
 Environmental Engineering
 Materials Science
 Industrial Engineering
 Cyber Security Just like in the smartphone industry, the amount of devices shipped is the
outcome, not the driving force of the market. Just like in mobile, the value
will come from an army of Internet of Things entrepreneurs addressing
thousands of user needs. If developers and entrepreneurs adopt IoT
technology as swiftly as they did Android and iOS, there will be well over 4
million IoT innovators at work by the end of this decade. Think about how

14. IIoT Needs STEM Professionals
• IIoT will draw from every existing STEM discipline to drive digital innovation and
commercialization
• Automation will be a disruptive factor to global workforce
• Machine learning will amplify this disruption
• Siloed organizational roles will become more cross functional by practice and then
eventually by definition

15. Jem Pagán - LinkedIn
jem@blusky.me

16. Citations
• https://www.accenture.com/us-en/insight-outlook-iiot-jobs
• https://iot-analytics.com/top-5-new-industrial-iot-jobs/
• http://www.machinedesign.com/industrial-automation/metrics-iot-enabled-products
• https://kpidashboards.com/tour/
• https://www.smartindustry.com/blog/smart-industry-connect/ttv-the-iiots-most-compelling-kpi-2/
• https://www.rockwellautomation.com/en_NA/products/analytics/overview.page