The Robot as Consumer and Source of ML Data
summary
Discussion of using software robots both as consumers and generators of machine-learning data within RPA solutions, focusing on integrating robotic process automation with ML workflows. Covers technologies for feeding robots with ML outputs and collecting labeled data from robot interactions to improve models, and approaches to embed ML into business process automation.
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chapters (19)
- 0:00Introduction
- 1:48RPA vs traditional automation
- 3:13Simple to hyperautomation
- 8:12Four ML data workflow stages
- 12:16Data collection sources
- 15:04ML model selection
- 17:33Applying ML in business
- 19:52ML and RPA for payments
- 22:30Real-time review analysis
- 23:45Automating requests
- 25:11Product catalogs
- 27:39Price forecasting
- 29:09Monitoring open data
- 31:01Pix RPA training
- 32:28Q&A: Payment accuracy
- 34:03Q&A: Office tech use
- 35:52Q&A: Software resources
- 38:53Q&A: Model training
- 41:07Summary
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