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Industrial Internet of Things (IIoT) – Exploring Career and Business Opportunities in the Digital Economy

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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

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Industrial Internet of Things (IIoT) – Exploring Career and Business Opportunities in the Digital Economy

  1. 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. 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. 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. 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. 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. 6. Internet of Things (IoT) 6 Internet of Things
  7. 7. Industrial Internet Consortium - Reference Architecture for IIoT
  8. 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. 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. 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. 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. 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. 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. 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. 15. Jem Pagán - LinkedIn jem@blusky.me
  16. 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

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