The end of “black box” AI
Our AI is bias-free, and our commitments are to fairness, accountability and transparency, so you’re never left in the dark.
Data and models must be non-discriminatory.
We use data that is representative of real-world scenarios to train models. Our models deliver unbiased outcomes.
Al must allow for audits throughout the process. We have robust monitoring processes in place for easy reviews, feedback collection, and improvements.
Al must be explainable in everyday language. You should be able to understand why a model performed the way it did from the context of its use.
Achieve your DEI targets, with bias-free AI
See all the talent in your network—candidates, applicants, and employees—and understand them based on the skills they have, and the ones they can develop. Use skills to find more diverse talent in your funnel, and support progression and career pathing more fairly.
Smarter candidate recommendations
AI recommends candidates to your recruiters based on their skills and potential, as well as their similarity to high performers in the same role at your company.
The Beamery Talent Graph™
The Beamery Talent Graph™ leverages more than 17 billion data points and connects and contextualizes global talent data.
For the first time, organizations can understand skill density across their workforce, and identify the existing, adjacent and potential skills of every potential hire and employee. It provides the foundation for the next generation of talent acquisition and talent management.
This edition of the Beamery Talent Index explores what is driving the great resignation as the reality of the return to the office bites, and suggests remote working hinders progression and culture.
Explore what AI actually means for recruiting and talent management, the impact it can have on talent activities, and some of the risks that come with it.