Empowering Innovation through DevOps & AI Integration
summary
Shows an end-to-end pipeline that actually ties Microsoft Fabric + Databricks + ADF to Copilot Studio and the Power Platform, ingesting on‑prem SQL, cleaning with PySpark, training predictive ML notebooks and exposing generative and conversational agents via API-backed chatbots. Demonstrations include P&L forecasting, automated vacation‑request apps, and predictive monitoring across infra and network. Claimed outcomes: ~40% faster releases, ~30% cost reduction, ~20% developer productivity gain and 1% lower downtime, with hands‑on demos and live integration proved working.
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chapters (11)
- 0:00Introduction and setup
- 1:48DevOps challenges beyond coding
- 3:30AI integration in DevOps solutions
- 8:50Generative AI and predictive monitoring
- 10:15Copilot Studio and Fabric demo
- 18:54Data flow and ingestion process
- 21:24Testing and development pipelines
- 22:50Multi-layer architecture design
- 23:53Industry use cases and business impact
- 24:59Quantified benefits and ROI
- 25:45Q&A session
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