Combing RPA with cognitive technologies
summary
Data from a bank show 245 bots in production but maintenance drags results down: ~1 incident per bot per month and ownership runs about $5,000 per bot annually, yielding roughly 40% cost savings realized versus vendor promises of 80–90%. Teams build RPA plus ML integrations but models remain early research, hampered by legacy systems, unoptimized processes, poor data quality, regulatory explainability and impatient sponsors. Recommended path is curate single data sources, treat intelligent automation as strategy not tactic, and start small with measurable SLA goals.
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chapters (7)
- 0:00Introduction and background
- 3:02RPA business benefits in banking
- 11:12AI commoditization in banking
- 13:42Blockers for RPA and cognitive tech
- 20:23Intelligent automation components
- 22:55Path forward for intelligent automation
- 24:12Q&A session
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