Staffing, There's No... • 5m
IBM Replaces 200 HR Professionals with AI – Is This the Future of Human Resources? In a bold move toward automation, IBM has replaced approximately 200 human resources roles with AI agents. The company’s advanced AskHR AI system now handles 94% of routine HR tasks, including managing employee pay statements and addressing common queries. This transformation reflects a growing trend where companies are leveraging AI to streamline operations, reduce costs, and improve efficiency in traditionally human-centric departments like HR. As AI continues to evolve, what does this mean for the future of HR professionals? Will strategic human insight still hold value in an AI-first workforce? Read the full story: https://www.indianweb2.com/2025/05/ibm-replaces-hundreds-of-hr.html #AIinHR #ArtificialIntelligence #IBM #HRTransformation #FutureOfWork #TechInHR
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Techzipe • 2m
IBM replaced 200 HR staff with Al agents, automating 94% of tasks like payroll, leave requests, and employee queries using its AskHR system, built on Watson and watsonx Orchestrate. This boosts efficiency, allowing IBM to hire more programmers and s
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AI agent developer |... • 5m
AI should not come in these things I have got in startup and I have saw my web agency fail. The one mistake which is glorified in the field is AI automation Yes it is good saves times and boost the overall efficiency of the business operation
See MoreHost : Just Be Live ... • 1m
Thrilled to announce the launch of our latest podcast episode, where we dive deep into the intersection of technology and humanity! 🚀 In this powerful conversation With Vanshmani Jha, we explored: 👓 The Future of AR Glasses for Accessibility: We
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History always repea... • 11m
🇨🇳 Automated factory in China. FULLY automated — even the management of production processes is handled by Huawei's AI 🚀 🚗 With 1,400 robots, 650 autonomous guided vehicles (AGVs), and over 200 automated workstations, the factory assembles Avatr
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Business Enthusiasti... • 2m
Before automation: 200+ tickets flooding in every week Average resolution time = 2 full days Support team constantly burned out, juggling repetitive issues After introducing AI-powered automation: ✅ Tickets are triaged instantly ✅ Common/repetiti
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