Improve deployment success with AI tech for recruitment and talent management
Insights on the most common challenges experienced when AI tech projects are implemented, and how to mitigate for a successful deployment.
In this Report:
Insights on improving candidate conversion while mitigating major challenges like data protection.
Key tips for maximizing efficiency without compromising accuracy in your hiring process.
Critical considerations for effectively searching and matching candidates in existing talent pools and networks.
The task of matching the right candidates to suitable roles can be laborious, expensive, and time-consuming.
And with the supply and demand imbalance of certain talent functions and skills that have been extenuated of late, this time and monetary cost have only worsened for those that have yet to transform and adapt their acquisition and talent management strategies.
This downloadable piece from Textkernel provides insights on some of the most important considerations required for the successful implementation of AI solutions that can support, automate and improve the HR processes.
Download now to discover:
- How you can improve candidate conversion and automate screening and mitigate common challenges whilst doing so, such as those surrounding data protection requirements.
- How to maximize efficiency without compromising accuracy with high-volume document processing and CV parsing.
- What you need to consider in order to effectively search and match candidates within existing pools and talent networks.
- How to improve internal mobility within your organization – reducing cost-to-hire and time-to-hire in the process.
