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Linkedin recommendation examples for human resources
Linkedin recommendation examples for human resources













linkedin recommendation examples for human resources

In another vein, AI offers packages of personalized social benefits based on employee profiles. For pay, AI systems can be used to issue and check the accuracy and consistency of all declarations. Users are 75% satisfied with it" (Project manager).ĪI can help find the correct legal documentation or the right expert, AI can check the accuracy of all declarations, AI can personalize social benefits based on employee profiles.ĪI isn’t just employed for handling absences and leave or processing expense reports and training but also for the administrative and legal aspects of payroll and salary policy. In the beginning, the chatbot included 200 items of legal knowledge, and then 800. The chatbot is responsible for the regulatory aspects of HR management: staff absences, leave, payroll and the wage policy: " We had the idea of devising a legal chatbot to stop having to answer the same legal and recurring questions, allowing lawyers to refocus on cases with greater added value. EDF, for example, has elected to create a legal chatbot to improve its performance with users. AI refers questioners to the correct legal documentation or the right expert. Many administrative and legal help desks are turning to AI (via virtual assistants and chatbots) to respond automatically to questions asked by employees – "Where is my training application?" or "How many days off am I entitled to?" – in real time and regardless of where staff are based. For start-ups (and there are 600 of them innovating in HR and digital technology, including around 100 in HR and AI), the HR function is "a promising market".Īdministrative and legal support: helping save timeĪI relieves HR of its repetitive, time-consuming tasks, meaning that HR staff, as well as other teams and managers, can focus on more complex assignments. AI in practiceįor HR managers, AI paves the way to time and productivity savings alongside an " enhanced employee experience" (HR managers). It’s more about how they can help and deputize for human beings" (Project manager). We don’t yet have AI systems that are incredibly intelligent and that have left humans behind. " With AI as it is at the moment, I don’t think there’s much intelligence, and not much about it is artificial. There’s also a distinction to be made between weak AI (non-sensitive intelligence) and strong AI (a machine endowed with consciousness, sensitivity and intellect), also called "general artificial intelligence" (a machine that can apply intelligence to any problem rather than to a specific problem). Hidden behind AI’s vocabulary – from algorithms, conversational AI and decisional AI to machine learning, deep learning, natural language processing, chatbots, voicebots and semantic analysis – is a wide selection of techniques, and the number of practical examples is also rising fast.

linkedin recommendation examples for human resources

The term artificial intelligence is polysemous, just as AI itself is polymorphic.















Linkedin recommendation examples for human resources