SkyHive's Methodology

SkyHive undergoes strict analysis of data sources to ensure data quality and applies best-practice methodologies to standardize, sanitize and anonymize across datasets. Collected data is standardized and corrected for language, context, timeframe, cultural differences, and completeness of dataset.

How does SkyHive ensure data accuracy/validity?

As SkyHive's core skills engine continuously collects, analyzes, and streams millions of labor market data points. It captures real-time shifts and trends within a workforce (internal) or a labor market (external) as they occur.

To accomplish this, SkyHive employs a multifaceted machine learning approach, integrating natural language processing, machine learning, deep learning, and statistical analysis. This amalgamation of technologies results in a dynamic classification system, where all jobs and skills are continuously clustered based on real-time labor market supply and demand conditions.

The engine functions as a precise reflection of the genuine labor market at a quantum skill level, automating the development of the taxonomy/ontology and the profiling of competencies in alignment with it. SkyHive's Knowledge Graph entities are automatically generated through the mining of labor market data sources and human validations, enriching candidate attributes.

These entities are employed to create billions of nodes and edges, encompassing skills, contextual relationships, job titles, companies, geographic locations, and more.

Job Taxonomy:  A documented and orderly set of types, classifications, categorizations, and/or principles that are often achieved through mechanisms including but not limited to naming, defining, and/or the grouping of attributes, and which ultimately help to describe, differentiate, identify, arrange and provide contextual relationships between Job Items, Entities or Types.

Skills Ontology: Skills ontology categorizes skills that build a common language of skills, defining the aspects of a specific job rather than relying on blanket terms and vague descriptions.

SkyHive is a strong public proponent of the ethical use of Artificial Intelligence. It is an inaugural signatory of the Cascadia Commitment to the ethical and transparent use of Al; it is a member of the GPAI (Global Partnership on Artificial Intelligence) and has introduced the world's first “MIDAS" program for Ethical Al policies and controls.

Updated December 05, 2023 19:01