Implementing Amazon Q Business for Enterprise AI Assistants
summary
Demonstrates Amazon Q Business deployed end-to-end: more than 40 prebuilt connectors (SharePoint, Salesforce, Confluence, GitHub, Google Docs) ingest enterprise data into a permission‑aware index, queryable via browser plugin or Q apps; it triggers actions in Jira and exports analytics to QuickSight. A previewed workflow automation builder turns SOPs into automations. Customer pilots report concrete gains—45% faster new‑hire onboarding and ~50% faster recruiting tasks—and Zurich runs ~80 models across three clouds.
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chapters (13)
- 0:00Introduction and speakers
- 1:09Customer AI journey at Zurich
- 2:54Productivity gains with AI
- 8:15AWS AI stack overview
- 10:21Amazon Q Business features
- 13:14Demo setup and time to value
- 17:51Q Apps and structured data
- 19:18AI powered workflows
- 23:53Measuring AI investment value
- 25:19Zurich Insurance case study
- 31:04AI impact at Zurich
- 32:52Zurich’s AI platform layers
- 36:05Session summary and takeaways
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