Emerging technologies like automation and AI are significantly impacting workforce dynamics, with up to 46% of some white-collar tasks potentially done by generative AI. This prompts organizations to rethink their hiring and employee development approaches, emphasizing specific skills over traditional metrics. However, many companies still rely on inferences about skills rather than direct assessments, which has limitations.
|
|
Verified Skills |
Inferred Skills |
|
Source of data |
Directly obtained and verified through certifications, qualifications or assessments. |
Typically, the skills are based on indirect information from users' activity, behavior, or data available online. |
|
Accuracy |
Generally considered accurate and reliable, as they are verified through standardized methods. |
Can be inaccurate or incomplete due to subjective assumptions or limited data. |
|
Context |
Often provides detailed information about an individual’s proficiency and experience. |
May lack context or depth, focusing on surface-level information. |
|
Validation Process |
Easy to validate through formal evaluation, testing or verification procedures. |
Difficult to fully validate immediately. |
By investing in verifiable digital badges, companies can gain a competitive edge through a more skilled, qualified, and certified employee base.
Verifiable badges provide tamper-proof credentials that clearly communicate an individual's skills, knowledge, and achievements through detailed metadata. This verified information is far more credible than relying on self-reported or inferred skills data. By tapping into this credible, validated skills data, organizations can more effectively identify qualified candidates, match talent to roles, and track workforce development. [To learn more about the advantages of verified skills data over inferred skills, check out our blog post.]
Digital credentials offer tangible, verifiable representations of an individual's skills and competencies, enabling companies to easily identify and work with confirmed qualifications.
Credly's digital badges, for example, adhere to open standards and include detailed metadata specifying the earned skills, criteria met, and comprehensive insights into the credential holder's qualifications. Plus, the use of blockchain technology and expiration dates ensures these digital badges are tamper-proof, providing organizations confidence in the legitimacy of showcased skills.