Defining The Problem

The Internet of Things (IoT), Internet of Services (IoS) and Internet of Experiences (IoE) represent a world in which devices, equipment, machines, automobiles, and things communicate, perceive, reason and intuitively take actions. Industry 4.0 want to ensure this world operates based on a set of protocols establishing a standard way of doing things between these connected devices.

Building a causal inference map for work tasks and competencies require answers to the following questions:

First, we must capture tasks performance data from organizations in an industry (large), sectors (mid-size), trades (small), and communities support service providers. The data must help define what they think an individual must be able to do to perform each work tasks to a set of expectations.

Secondly, we must capture data from academic curriculum subject matter, job requirements, relational skills and contextual governing rules, laws, weather, climate, and the like that is specific to each work domain.

Thirdly, with these expectations (employee profiles) and requirements (competency) data we must be able to establish the total amount of work tools required to accomplish each task.

Fourth, we must be able to determine the number of times each work tool occurred in each task during job task performance.

Premises: These steps are founded on the belief that:

  1. Some advantages will accrue to individuals’ productivity and earning potentials if we determine the exact expectations of connected devices, employers and communities
  2. Quantifiable benefits will accrue to individuals, businesses, and communities if we determine requirements to accomplish different tasks
  3. Specific benefits will accrue to businesses and individuals and hence communities if we can determine human abilities
  4. Capturing connected devices, employers and communities expectations into an integrative competencies curricula real-time for learning will result in increased abilities
  5. Specific, quantifiable benefits will accrue to the global society if we can close the abilities-to-potentials gaps
  6. Enormous benefits will accrue to all individuals and society from global standards that are updated as soon as a change in expectations and requirements occur
  7. Knowledge of optimal levels of productivity and experiences will result in better use of data from all connected devices for decision making