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Skill management is a critical component of staffing success. However, challenges like evolving candidate skills, changing client needs, and the complexities surrounding skill definitions can make skill management a daunting task. In this blog, we will explore how candidate intelligence powered by Candidate IQ can help staffing agencies overcome these challenges and optimize their operations.

Staffing agencies often face technology challenges when managing and analyzing skill data effectively. This article will provide practical examples of technology challenges in targeted skill management and how Candidate IQ offers solutions to overcome these obstacles.

As staffing databases continue to evolve, staffing executives must also address the challenges posed by both human and automated behaviors in managing and maintaining these databases. In this follow-up article, we'll explore some of the key challenges and share examples of how to overcome them to optimize your staffing automation processes.

In this article, we'll explore why your current ATS may not be providing the support necessary for candidate schema management and how embracing AI-driven solutions can make a significant difference in your staffing automation efforts.‍

In recent years, staffing agencies have been facing increasing pressure to deliver results faster and more efficiently. One solution that has emerged as a game-changer is automation.

The main technology enabler for Data Innovation that’s needed to deliver Advantage 2.0 is the effective harnessing of AI.

The first pillar for the Data Innovation needed to support Advantage 2.0 is the culture of the Data-Driven Enterprise.

As part of the candidate screening process, some organizations task their recruiters with manual tagging of the resumes they review. The idea here is to increase the usability of talent databases by generating metadata manually.

You've probably read about how AI is being used in data security, financial trading, healthcare, fraud detection, or elsewhere. AI has taken hold in these industries, in part, because there is “big data” associated with each and ready-made AI solutions. But, what about the industries or use cases that don’t involve mountains of numerical data?

Vettd, the leader in deep learning for Human Capital Management, launches new eBook for enterprise HR leaders

Reviewing resumes can be the hardest and most demanding part of the entire hiring process. It’s extremely time consuming and is the first of many steps in a lengthy process. Unfortunately, it’s entirely necessary because job boards aren’t dead yet and resumes remain the primary way that candidates present themselves to companies.