『RPI Tech Connect』のカバーアート

RPI Tech Connect

RPI Tech Connect

著者： WRKdefined Podcast Network
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RPI Tech Connect brings you real conversations with the people implementing ERP and workforce technology every day. Host Chris Arey talks cloud migrations, change management, and what's working across HR, finance, and supply chain. Every episode leaves you with something you can act on to get more out of your back office.All rights reserved by WRKdefined マネジメント マネジメント・リーダーシップ 経済学
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  • Strategic Workforce Planning in the Age of AI Agents

    Strategic Workforce Planning in the Age of AI Agents
    2026/07/28
    AI agents promise big savings but bolting them onto messy processes is a fast way to burn money. In this episode of RPI Tech Connect, Marcus Mossberger of LYTIQS and Melissa Olson, Director of Infor Solutions at RPI Consultants, break down why strategic workforce planning is now urgent for any organization weighing agentic AI. They explain why standardized processes have to come before automation, how to balance the real cost of tokens against full-time talent, and why modeling multiple futures beats trying to predict one. As Marcus puts it, you can't be right anymore. You have to be ready. If strategic workforce planning is on your radar, or your finance team is already counting the savings from AI agents, this episode is the place to start. *Chapters:* 00:00 Welcome to RPI Tech Connect 1:10 How Does Agentic AI Impact Finance & IT? 5:23 Why Standardization Must Preclude Automation 8:53 What is Strategic Workforce Planning, Anyway? 11:35 Talent vs. Tokens 12:58 Losing Leverage to LLMs 18: 33 AI Exposure Rates & Their Impact on Headcount Planning 22:20 The Deskless Workforce is Building AI Infrastructure 25:25 Why HR Needs to Take On Workforce Ownership 34:06 Final Thoughts & Takeaways
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    39 分
  • Inside University of Maryland Medical System's Infor WFM Implementation

    Inside University of Maryland Medical System's Infor WFM Implementation
    2026/08/11
    Migrating to a cloud WFM platform is good from a software perspective. But as UMMS discovered, it’s also a great opportunity to optimize the processes that support it. In this episode of RPI Tech Connect, Dave Curtis, Director of HRIS at the University of Maryland Medical System (UMMS), talks about their recent Infor WFM implementation—including their move from a previous time & attendance system to a real-time, cloud-based environment, with RPI supporting the build from design through go-live. Dave explains how the new system's real-time capabilities pushed his team to rethink long-standing termination and workflow processes that only worked because of the old system's built-in delay. He also shares how partnering closely with RPI helped his teamwork through the technical unknowns and reshape those processes to match what the new, more capable system could do. If you're evaluating new WFM systems and want to hear how one team turned a technical transition into a chance to modernize, this episode is for you. *Chapters:* (00:00) Welcome to RPI Tech Connect (3:54) The Scope of WFM: More Than Time &Attendance (6:23) Why Absence Management Was a Must (8:16) On UKG Kronos, Some Changes Didn’t Show Up For Days (11:06) BODS & Going Real-Time (12:38) Why Testing Don’t Always Hold Up in Real Life (22:27) Redesigning the Termination Process (26:11) The Implementation as an Opportunity to Review Business Processes (28:07) Final Thoughts & Takeaways
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    30 分
  • How AI Helps Neurologists Care for Patients

    How AI Helps Neurologists Care for Patients
    2026/07/27
    Learn how artificial intelligence is being used by a practicing neurologist to improve patient care, reduce documentation time, interpret EEG data more efficiently, and help address growing healthcare workforce shortages. This conversation explains where AI provides meaningful support, why physicians still make every clinical decision, and how these tools can create more face-to-face time between providers and patients while reducing administrative burden. Key Takeaways AI-assisted dictation helps physicians spend more time looking at patients instead of typing into electronic medical records. EEG analysis tools help neurologists review large amounts of brain activity data much faster. Artificial intelligence highlights potential seizure activity but does not replace physician interpretation. Doctors still review, edit, and validate every AI-generated recommendation before making clinical decisions. AI can improve efficiency while maintaining the human relationship between providers and patients. Healthcare staffing shortages are increasing the need for technology that helps clinicians work more effectively. AI tools can reduce physician burnout by handling repetitive administrative work. Clinical messaging tools may help providers respond to patient questions more efficiently. Future AI systems may expand access to specialty care in underserved communities. The goal of healthcare AI is to support better patient care, not replace medical professionals. Timestamps 00:04 – How AI supports neurologists during patient care 02:10 – AI-powered clinical documentation and visit summaries 05:14 – Understanding EEG data and brainwave monitoring 07:04 – How AI detects seizure patterns faster 12:28 – Why physicians still validate every AI finding 16:42 – Healthcare staffing shortages and growing patient demand 21:59 – AI documentation tools and electronic medical records 25:54 – Why AI assists instead of replacing doctors 28:14 – Reducing physician burnout through automation 29:30 – Creating more meaningful patient interactions Keywords AI in healthcare, neurology, EEG interpretation, clinical documentation, physician burnout, electronic medical records, healthcare staffing shortages, seizure detection, medical AI tools, patient care technology
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    33 分
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