This course presents a birds-eye view of the IoT universe for business stakeholders and decision makers in any industry vertical. Topics have been handpicked and tailored to make it enterprise centric and relevant for a non-technical audience. The details are presented on a “need to know” basis which provides a foundation to explore further if needed.

Course Topics

Chapter 1 – Introduction to Internet of Things

  • Holistic understanding IoT – Difference between Machine 2 Machine (M2M) and IoT
  • Separating Industrial IoT and Consumer IoT
  • Is IoT relevant for my business? Identifying fitment in the context of Digital Transformation
  • How IoT can transform your customer experience – with use case examples
  • How IoT can transform your operational excellence – with use case examples
  • Understanding market adoption of IoT in the enterprise – Industry analysts view
  • Sifting through Hype and unlocking true value of IoT for your enterprise

Chapter 2 – Understanding the Pieces of the IoT Puzzle

  • Hardware Manufacturer Landscape
  • Understanding different categories of Hardware components in an IoT solution
  • Basic Electronics Primer for dummies – Sensors, Actuators, Drives, etc
  • Industrial IoT – Overview of SCADA (Supervisory Control and Data Acquisition)
  • Top 10 examples of commonly used IoT hardware in industrial context
  • Top 10 communication protocols at an overview level

Chapter 3 – Communication Network as a key enabler of IoT

  • Communication networks for IoT
  • Role of 5G in IoT
  • Short-range and Long-range communication networks depending on the use case
  • Understanding use cases in IoT made possible only because of 5G.

Chapter 4 – Understanding Edge Computing

  • What is Edge computing? Understanding the high relevance to IoT
  • Role of an Edge Server
  • Combining Edge Computing with Cloud
  • Securing access and data

Chapter 5 - Anatomy of an Enterprise IoT Application

  • Different moving parts of an IoT Software / Framework
  • Managing the massive data generated by IoT – Role of Big Data and Analytics
  • Role of APIs and Integration in a robust IoT solution
  • Machine Intelligence – Applying AI and Machine Learning. Use case examples.
  • Integrating IoT with Business Applications – CRM, Billing, etc

Chapter 6 – IoT Software Vendor Landscape

  • Overview of the top 5 IoT Software Vendor Landscape (ThingWorx, MindSphere, Azure IoT, Amazon AWS, etc)
  • Components of an IoT Software Stack
  • Choosing an IoT software vendor

Chapter 7 – Creating an IoT oriented Business Model

  • Identifying monetizable IoT-driven business offering directly in your vertical or an adjacent industry vertical
  • Enhance your existing offerings with IoT to differentiate from competition
  • Enhancing your organizational capability to offer IoT-centric business models

Chapter 8 – Platform Business Models for Maximizing IoT value

  • Understanding the difference between a Pipeline and a Platform business model
  • Using Platform Business models as a means to enable revenue from adjacent industry verticals
  • Role of an IoT Digital Marketplace
  • Building an ecosystem of device manufacturers, electronic integrators, technicians
  • Making the shift from a Passive platform to an Active platform – The role of system integration

Chapter 9 – Common Challenges and Pitfalls

  • Common challenges in building IoT solutions
  • The risk of over-engineering and under-engineering. What it takes to strike the right balance
  • Security risks and mitigations
  • Best practice recommendations

Chapter 10 – Products, Tools and Solution Accelerators

  • Products, Tools and Solution Accelerators built from our experience – IoT Glue
  • Importance of building an IoT test bed
  • Overview of Simulation and field testing