The glossary includes terms and naming conventions used on the Faethm platform. The purpose of the glossary is to help you gain an accurate understanding of the modelling, calculates, data and features on the Faethm platform.
The capacity of emerging technologies to necessitate the addition of existing jobs or entirely new jobs that may be required to enable the organisation to implement, govern, run and maintain emerging technologies.
Advanced Robotics leverage multiple technologies, including Artificial Intelligence, Machine Learning and sensors, to allow robots to interact with the physical world.
Application Technologies (typically AI and Robotics technologies) have a direct impact on work by impacting one or more of eight human work attributes, either by automating or augmenting tasks.
Robots using reinforced learning and sensors to physically interact with humans in a mobile way - e.g. aged care robots that connect and evoke feeling.
Augmentation represents the additional capacity gain available derived from augmenting technologies. It’s the capacity of emerging technologies to partially supplement jobs or job tasks and, in doing so, making workers more efficient at completing tasks and giving them capacity to do other work.
Automation represents the impact from automating technologies and the correlated number of aggregated FTEs and % of the workforce. The capacity of emerging technologies to entirely replace a job, large portions of a job or job tasks.
A type of AI that includes Conversation Exchange, Sensory Perception, Decision Generation and Dexterous Robotics. Broad AI, or Artificial General Intelligence (AGI), is AI that exhibits human intelligence and can work, think, and react like a human. It can successfully perform any intellectual task that a human being can, such as reasoning broadly across tasks, thinking critically, problem-solving and integrating information from multiple places.
BUSINESS INTELLIGENCE TECHNOLOGY
Business Intelligence applies historical data, big data, data mining, statistics, modelling, Machine Learning and Artificial Intelligence to allow organisations to make data-driven decisions.
BUSINESS RESILIENCE MODEL
Faethm's Business Resilience Model assists clients to inform on-going business continuity and workforce planning to enable productive remote work opportunities during the COVID-19 pandemic. It helps clients plan for the future during times of crisis and uncertainty.
The model includes scenario planning for different pandemic lockdown and release circumstances by location (from country to more granular locations); evaluates workforce impact by geography, organisational unit, age, gender, or other client-defined metrics; identifies the potential for productivity loss throughout the business; provides insights on the key technologies that may alleviate potential productivity loss in the future; and more.
Capability is the specification of skills, knowledge, attributes and personal experience that can be applied to a standard expected in professional practice at a given level of proficiency. It's concerned with the holistic view of an individual’s ability to perform in a range of context and their potential to improve.
Capacity gain is the newly available time that’s generated when an augmenting technology partially supplements a task or tasks.
This benefits a worker by giving them capacity to take on other work that they previously didn’t have time to do; it’s usually higher-value work, because often it’s the lower-value (repetitive and manual) tasks that are augmented.
Robots using reinforced learning and sensors to co-contribute to work and generating shared meaning - e.g. aiding object quality control inspections.
CONVERSATION EXCHANGE TECHNOLOGY
Systems that use machine learning and sensors to interpret and engage in conversation - e.g. robots conversing in dialogue beyond prompted responses.
Creative AI is technology capable of creating something novel and useful.
CREATIVE ORIGINATION TECHNOLOGY
Agents using reinforced learning and sensors to invent original concepts beyond known data - e.g. systems that generate non-existent product designs.
DECISION GENERATION TECHNOLOGY
Systems that use machine learning to evaluate input data to determine the best course of action - e.g. smart stock option review and selection systems.
Robots with flexible functions capable of adapting dynamically using sensors and machine learning - e.g. highly precise robot assisted surgery.
ENABLING INFRASTRUCTURE / INFRASTRUCTURE-ENABLING TECHNOLOGY
Technologies that enable, or speed up, industry disrupting and application technologies.
Employee Type is one of the core filters on the enterprise platform. It refers to the type of employment contract: Permanent, Part time, Contract and Casual.
Fixed robots that robotically handle/ manipulate objects in a pre-defined way - e.g. stationary production line robots in manufacturing facilities.
FTE (general use)
Full time Equivalent: A measure of the amount of time worked in a 40 hour full-time week, where 1 full-time workload (40 hours) is equivalent to 1 FTE.
- 1 FTE can be made up of more than 1 role or worker.
FTE (Market Data License ONLY)
FTE has the general use meaning for all Faethm customers EXCEPT those on Market Data Licences. For Market Data License customers FTE is defined as follows.
Full Time Employed: A measure of the number of people in employment.
People in employment means people of working age, who, during a short reference period, were engaged for one hour or more in any activity to produce goods or provide services for pay or profit.
The primary job or occupation held by employed people is the one reported in the week prior to census night.
- 1 FTE (Market Data License ONLY) can only be made up of 1 role or worker.
Future capabilities focus on human attributes no robot could replicate with any value, and literacies that will be needed as work becomes more digital and data-driven. Future Capabilities are classified in five major groups:
- Human Attributes
- Core Future: Capabilities required for future employability.
- Outcome: Individual capabilities translated into workforce outcomes.
- Leadership: Capabilities that enable leading others in a constantly changing workforce.
- Digital Literacy: Capabilities that enable interaction with others in a digitally driven workplace.
- Data Literacy: Capabilities that enable individuals to utilise and action insights from data.
GENERATIVE DESIGN TECHNOLOGY
Agents using reinforced learning and sensors to interpret creative data and reproduce concepts - e.g. machine music composition based on input data.
HUMAN INTERACTION / HUMAN INTERACTIVITY
Human interaction is a calculation of the percentage of total tasks within a job that require direct contact with another person. This is a calculation in the platform's Job Resilience chart. Tasks are classified as human interactive if the task requires any level of human interaction. This interaction may be face-to-face, over the phone, or even just collaborating with a colleague. It also includes people working in the public domain whose work environment means they are in close contact with the public.
Immersive Technology extends reality or creates a new reality.
Interaction Risk is an identifier for jobs and tasks that are completed within close proximity to others. It’s useful for businesses to understand which areas of their workforce haver a higher contagion risk, in order to implement efforts to keep them safe. This is a calculation in the platform's Job Resilience chart.
A grouping of related jobs which involve similar tasks and require similar skills.
A measure of how viable moving from one job to another may be based on the two job attribute sets and other key factors. A higher number represents a likely easier pivot to the Target Job.
Job Level is used as a filter on the enterprise platform, with three levels: Individual Contributor, Manager and Executive. It provides a high level view of job hierarchy groups in a client’s workforce, showing insights by level type. Clients may also provide a custom filter with their own job level classification.
The percentage of total tasks within a job that can be completed remotely by using enabling technologies. This is a calculation in the platform's Job Resilience chart.
The Maturity Level ranks the maturity of every future capability by Novice, Advanced Novice, Competent, Proficient and Expert.
Mobile robots programmed to move between points in a controlled environment - e.g. aircraft assembly and engineering robots manipulating parts.
A type of AI that includes Predictive Analysis, Suggestion Provision and Recognition Vision. Narrow AI is good at performing a single task, or a limited range of tasks.
NATURAL LANGUAGE PROCESSING (NLP)
A branch of artificial intelligence that helps computers understand, interpret and manipulate human language.
NATURAL LANGUAGE UNDERSTANDING (NLU)
A branch of natural language processing, which involves transforming human language into a machine-readable format.
Robots using reinforced learning and sensors to navigate autonomously in unstructured environments - e.g. driverless trucks on contained mine sites.
The divisions, or departments, within an organisation.
Tools that reactively use machine learning to conduct narrow analysis and make related predictions - e.g. business intelligence systems extracting insight.
Process Automation automates repetitive and rule-based tasks and workflows, enabling more efficient and effective business processes. Code programmed to complete pre-defined, logical and rule based processing tasks - e.g. RPA processing payroll and other finance functions.
A type of AI that includes Process Automation, Fixed Robotics and Mobile Robotics.
Tools that reactively use machine learning and sensors to recognise and classify data meaningfully - e.g. biometric recognition software for security.
A type of AI that includes Solution Discovery, Assistive Robotics, Collaborative Robotics, Navigation Robotics, Creative Origination and Generative Design. Reinforced AI is a Machine Learning method that uses goal-oriented algorithms to learn how to attain a complex objective (goal) or how to maximize along a particular dimension over many steps.
Systems that use machine learning and sensors to detect and extract meaning from external stimuli - e.g. predictive safety sensors and analysis on oil rigs.
Social AI leverages how humans use social information.
Agents using reinforced learning and sensors to digest and solve unstructured, complex problems - e.g. rapid drug discovery systems for cure invention.
Tools that reactively use machine learning to prioritise data to identify multiple relevant recommendations - e.g. job candidate review and suggestion systems.
An exact piece of work undertaken in a job. Different groupings of tasks make up each job in the Faethm Occupation Ontology.
A task group is a set of similar tasks. There are 37 task groups.
The time spent to complete a task. All of or a portion of task time may be at risk of automation or benefit from augmentation.
This information is useful for identifying where, in an organisation, to prioritise adoption and implementation of augmenting technologies to free up capacity per job.