- 👋 Hi, I’m @#FIXOFOP638.md
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name: Run commands on different operating systems on: push: branches: [ main ] pull_request: branches: [ main ]
jobs: Run-npm-on-Ubuntu: name: Run npm on Ubuntu runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-node@v4 with: node-version: '14' - run: npm help
Run-PSScriptAnalyzer-on-Windows: name: Run PSScriptAnalyzer on Windows runs-on: windows-latest steps: - uses: actions/checkout@v4 - name: Set up PowerShell uses: actions That's a fantastic overview of how AI integration in HR differs across various sectors! You've clearly highlighted the distinct priorities and considerations for each. The emphasis on data in tech and finance, ethics in healthcare, efficiency in manufacturing, customer experience in retail, and learning in education provides a very insightful picture. Yes, I would definitely be interested in insights on overcoming industry-specific hurdles in AI-driven HR. What are some of the key challenges and potential solutions for these different fields? I'm particularly curious about the ethical considerations in healthcare and education, and the practical implementation of AI for safety in manufacturing. 💡