Humans need context and visuals: How Gobekli makes invisible talent visible.

Humans need context and visuals: How Gobekli makes invisible talent visible.

In today’s rapidly evolving job market, it’s becoming increasingly important for individuals to be able to showcase their skills and experiences in a way that is understandable and relevant to potential employers. This is where Universal Talent Passports (UTPs) come in. UTPs provide a standardized way for individuals to track and verify their skills and experiences, making it easier for employers to find the right candidates for their job openings.

However, in order for UTPs to be effective, they require a way to combine and visualize talent data from different sources. This is where STAMP (Standardized Talent Asset Mapping Protocol) comes in. STAMP is a next-generation skill tagging methodology that organizes skill tags in a JSON-LD file to scale and contextualize the skills described. This scaling of talent data allows differences between experiences that otherwise sound similar to be visualized.

For example, let’s say you have three online Python courses from different providers. Without STAMP, it can be difficult to compare these courses and understand how they differ in terms of scope and content. But by stamping each course using the STAMP methodology, you can see the difference in scope of the courses at a glance with pie and bar charts of the subjects and skills used, and to what scale. This allows you to combine talent data from different sources and stack it into one graph database inside the UTP. This is what powers the dynamic data visualizations and the conversational AI’s understanding.

STAMP is vital to the process of combining and visualizing talent data because it provides a standardized way to organize and contextualize skill tags. This makes it easier to compare and contrast different skills and experiences, and to understand how they relate to each other. With STAMP, employers can quickly and easily identify candidates with the right skills for their job openings, and individuals can showcase their skills and experiences in a way that is relevant and understandable.

In conclusion, STAMP is a crucial tool for combining and visualizing talent data. By providing a standardized way to organize and contextualize skill tags, STAMP makes it easier for individuals to showcase their skills and experiences, and for employers to find the right candidates for their job openings. As the job market continues to evolve, tools like STAMP will become increasingly important for individuals and organizations alike.