Gartner Research

Impacts of Artificial Intelligence and Machine Learning on Human Capital Management

Published: 07 August 2017

ID: G00337388

Analyst(s): Helen Poitevin , Ranadip Chandra

Summary

Natural-language processing, conversational agents and decision support are all forms of AI and machine learning that are transforming how HR processes get done. Application leaders should invest in these innovative techniques to drive efficiencies, adoption and improved employee experience.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • NLP performance improvements and investments open up avenues for more effective automation in HCM, especially in job matching and sentiment detection
    • Skill and Knowledge Identification
    • Career Paths
    • Talent Acquisition
    • Engagement and Sentiment
  • Increased availability of virtual HR assistants and chatbots provides opportunities to drive further automation of HR processes and significantly transform user experience
    • HR Service Delivery/HR Business Process Outsourcing (BPO)
    • Employee Self-Service and Manager Self-Service in HCM Suites
    • Candidate Experience
    • Onboarding
    • Coaching
  • AI-driven tools intended to accomplish recommendations, decision support and sentiment detection have matured to the point that adoption is accelerating, and many HCM project teams include these capabilities as requirements for new technology investments
    • Employee Flight Risk Analysis
    • Candidate Evaluation
    • Diversity and Inclusion
    • Learning Content Recommendations
    • Wellness and Employee Monitoring
    • HCM Application Workflow Improvement Recommendations

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