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There are many claims about AI driving talent intelligence in HR platforms, but only deep-learning AI can do what a modern workforce needs regarding talent intelligence.
True deep-learning AI does the manual, time-consuming part of the hiring and promotion process for talent professionals, sorting through immense amounts of data and surfacing only the best candidates based on their skills and potential — not what they’ve done in the past, four-year degrees, or other aspects that lead to bias.
Read our breakdown of deep-learning AI and how it can help any talent program improve its pipeline with stronger candidates with the skills to get the work done.
Find in this guide:
Approximately 80 to 90 percent of any organization’s data is unstructured, raw information in many formats that isn’t “clean” or ready for analysis, and it’s tough to store and manage in a static database. The digital transformation spurred by the pandemic has only accelerated this transformation, and there’s no going back. That’s where deep-learning AI comes in—to sift through the unstructured datasets and surface the most helpful insights.
A true deep-learning AI talent intelligence platform uses neural networks to identify critical information about the entire talent ecosystem, including the best candidates for the job, learning pathways for employees to upskill, and which contingent workers should be redeployed to new projects. A true AI-driven talent intelligence platform will automate the most time-consuming and tedious aspects of any HR or recruiter job, so the best parts of the job—connecting with and helping people reach their true potential—are left to the talent leaders.
Other benefits:
An advanced AI-powered talent intelligence platform applied to your enterprise system should reveal a comprehensive understanding of your workforce’s capabilities, but also every person’s abilities, skills, and potential to learn for the role.
The overall breadth, scope, and quality of the global dataset captured with a talent intelligence platform matters. Those millions—even billions—of data points are what powers the platform. When you are pulling from larger, more inclusive sources, this helps ensure that the dataset is providing the most accurate recommendations about jobs, candidates, careers, and skills at scale for any type of work anywhere in the world.
Other benefits:
Deep-learning AI for HR illuminates where great candidates might be dropping off in the funnel, encouraging best practices for DEI, and inviting more diverse candidates into the talent pipeline.
This is done by:
There are many claims about AI driving talent intelligence in HR platforms, but only deep-learning AI can do what a modern workforce needs regarding talent intelligence.
True deep-learning AI does the manual, time-consuming part of the hiring and promotion process for talent professionals, sorting through immense amounts of data and surfacing only the best candidates based on their skills and potential — not what they’ve done in the past, four-year degrees, or other aspects that lead to bias.