Optimizing User Support Services by Introducing Machine Learning Technologies
summary
Presentation describes using machine learning to optimize user support services, focusing on technologies like RPA and AI to improve service architecture, design, management, and business-process automation. It explains applying ML-driven automation and process improvements in support workflows and mentions hybrid (onsite and online) conference format for demonstrations and workshops.
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chapters (11)
- 0:00Introduction
- 2:08ML overview
- 8:42Ticket routing in Rosatom
- 11:34ML model architecture
- 13:02Web interface expansion
- 14:49Statistics analysis
- 17:16Ticket classification
- 21:53Confidence threshold tuning
- 24:47User flexibility
- 25:48Other ML projects
- 30:14Q&A
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