Integrating AI with RPA
summary
Panel claims show practical wins not hype: an LLM reformats Polish addresses 100% accurate for pennies, call‑center tooling that autofills 10–15 minute post‑call summaries and surfaces prior attempts, HR flows that structure CVs into filterable tables, and a deployed system that injects LLMs into RPA using vector databases and multi‑agent routing. Tradeoffs are clear: on‑prem large models need huge GPUs and cost is a showstopper, so the team pushes on-device inference and small specialized models to cut inference bills.
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chapters (11)
- 0:00AI integration for RPA
- 2:11Companies need AI solutions?
- 6:11AI boosts productivity
- 11:51AI adoption pitfalls
- 16:10AI cost and scalability
- 19:15RPA tool limitations
- 24:37AI and RPA in production
- 31:41AI for HR data processing
- 35:14Managing AI assets
- 37:48Industries disrupted by AI
- 42:03AI as human tool
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