Skills4Industry organizes the world’s competencies and make it available to individuals and machines to reinforce the application of learned skills at home, school, work, playgrounds, and performances. This is achieved through a combination of technology, integrative competence pedagogy, and the resources that ensures learning is achieved in processes similar to the context in which they will be applied.
Skills4Industry Reinforcement Learning Artificial Intelligence Framework ensures: (1) a skill applied while performing a task in all capabilities context anywhere on the globe is captured and immediately made available to improve learning at the appropriate credential work task levels; (2) all competencies applied under any performance context is captured & stored in individuals LearningLog to reinforce learning; (3) what is learned in one context is easily transferred to another to earn a SkillScore.
At the heart of Skills4Industry integrative competence framework, is a taxonomy of over 3.6 million academic, work, and soft skills concepts that are grouped into over 200,000 (two hundred thousand) industries, sectors, trades, and functional responsibilities titles. Skills4Industry competence concepts uses rules-based Question Classification (QC) and Syntactic Map Natural Language artificial intelligence.
Skills4Industry in-a-box are a range of virtualization devices and cloud computing of varied sizes, starting with palm-sized single user containers with up to 60 Terabytes data capacity. Including others capable of powering the roll-out of National, corporate, municipal digital transformation skills strategy. These virtualization architectures power microservices – virtual machines, containers, and application stacks like Docker, Bitnami, VMWare, and Kubernetes. As well as, Cassandra and SQL Databases for easy deployment of solution applications.
At Skills4Industry, we identify an area of concern, effect a change, and evaluate the outcome daily. If an improvement exists we continue. If none, we consider if the changes were effectively implemented, or try a different approach.
Skills4Industry Purpose: to organize the world’s competencies and make make the data available to individuals and machines to reinforce the application of learned skills at home, school, work, playgrounds, and performances.