retrain.ai
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About
retrain.ai is a Talent Intelligence Platform, powered by responsible AI, that helps organizations hire and retain the right people. It uses skills-based AI to identify skills and gaps in the workforce, source, screen, and rank candidates, and provide personalized career pathing for employees. It integrates with existing HR systems to provide a unified system of intelligence.
Platform
Features
• talent acquisition
• talent management
• skills architecture
• frictionless integration
• one central skills-focused nerve center
• data-driven, game-changing algorithms
• skills-driven, unbiased intelligence
FAQs
What is Artificial Intelligence (AI)?
In its simplest form, AI is a technology that’s able to recognize patterns in data. To do that, machine learning systems simulate human intelligence processes using AI applications like natural language processing.
What is Talent Intelligence?
Talent Intelligence is AI-driven technology that unifies, organizes and interprets internal and external data so HR leaders can make better workforce planning decisions.
How does retrain.ai compare to new technologies like ChatGPT?
ChatGPT is a consumer-focused generative AI tool that uses machine learning to index retrievable content and mimic writing styles. As leaders in the AI space, we see ChatGPT as an example of a set of tools with the potential to transform business processes.
What does Responsible AI mean?
When an HR solution uses Responsible AI, it ensures that automated processes aren’t adversely or disproportionately impacting diversity in the hiring process.
Are there regulations around the use of Responsible AI?
Yes, and they are increasing. For example, a new law enacted in New York City will require organizations using AI in hiring processes to submit to independent AI audits to ensure compliance.
How does Responsible AI support DEI efforts?
Responsible AI mitigates bias risk by evaluating candidates on skills only, avoiding information such as a candidate’s age, education, names, demographics, and the like.
What does “Black box” or “White box” technology mean?
These terms refer to whether an AI solution is fully explainable. With a “white box” solution, AI developers can easily demonstrate how the AI arrived at a particular outcome.
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