The systemization of occupations and competency concepts result in data for several applications. The parse through Syntactic Map makes artificial intelligence algorithms explainable, while the algorithms continued interaction with humans result in increased natural and general intelligence.

Data captured from instruments through reading at intervals from equipment sensors is different from continuous data flow from devices connected to the Internet. Most businesses realize too late that the in-house expertise required to analyze and make sense of data from disparate sources require a different set of skills. While freeing up experts to work with data scientist and engineers to assist in business problem definition critical to data acquisition, analytics and integration, mean temporary shutdown of essential projects.

Data solutions move businesses from decision making through historical analysis to proactive preparedness for the future using artificial intelligence. The success of AI projects in delivering the tools for dynamic response to production and markets depends on how well the problems algorithms are designed to solve are defined. The skills to translate business problems accurately for data projects are those required to link a task to the goals of a job role. How a job role is linked to the purposes of a functional area; how a functional area, ad-hoc team, project or program is linked to the goals of a department and; how a department is linked to the executive or board. This represents a big picture knowledge typically reserved for the executives of an organization.

Skills4Industry make this knowledge available to project experts interfacing with data scientists and engineers available instantly, to ensure the success of your data and AI projects.

Secondly, data solutions through artificial intelligence help businesses improve customer engagement. Customers are in the driving seat of technology application to critical time-based decisions, given the several options available to their limited time.

Skills4Industry captures business workflow existing data into a Questions Classification (QC) to establish customized Syntactic Map of concepts for an organization. The organization's continuous data from the daily work tasks performed by employees and connected things are used to improve the business concepts daily real-time.

Skills4Industry courseware templates attached to the Syntactic Map help employees learn what they need to know to accomplish the task at hand or prepare for the next mission.

Skills4Industry courseware are fully mapped to core academic curricula and pedagogy from 5th grade to Ph.D. Skills4Industry is essential to the introduction of work concepts into core academic subject-matter to ensure from community learning at home or in schools, individuals can achieve the highest level education.

Skills4Industry enable real-time workflow audits essential to helping businesses decide what tasks, job roles, and functional areas to automate.

Skills4Industry align business workflow tasks across job roles, teams, projects, programs, departments, and divisions to corporate goals.

Skills4Industry systemized work concepts provide businesses real-time maps to determine efficiencies and improve productivity by eliminating minor tasks taking time away from core tasks through automation.

SKills4Industry business concepts map help businesses improve productivity using tasks performance time-stamped input and output dashboard.

Skills4Industry captures communities socioeconomic and customers data to improve engagement. The systemization of occupations and competency data allows Skills4Industry to deliver unprecedented insights into individuals and community needs. A key component independent variable within Skills4Industry taxonomy is academic data, whose mapping to work tasks and tools offer more robust whole family and community knowledge.

Skills4Industry provides two products that are designed to deliver several levels of services - (1) pathways dashboards for learning and competency development with core technologies like Learning Forecast™, Neighbor-Neighbor™, EnsemblePathways™, and Knowledge Visualizer™ for work-based learning, lifelong learning and transition skills; and (2) Intelligent business assistants embedded with core technologies like CareEngage™, LinearCAPX™, RootNodes™, RandomLabels™, BarrierEraser™ and LinearISTD™ for a host of business applications.