AI Use Cases to Transform Your Oracle Workloads in Azure

AI Use Cases to Transform Your Oracle Workloads in Azure

Microsoft Ignite via YouTube Direct link

0:00 - Dual cloud challenges: latency, complexity, compliance, and data silos

1 of 9

1 of 9

0:00 - Dual cloud challenges: latency, complexity, compliance, and data silos

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AI Use Cases to Transform Your Oracle Workloads in Azure

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  1. 1 0:00 - Dual cloud challenges: latency, complexity, compliance, and data silos
  2. 2 00:13:02 - Challenges in Financial Product Design and Data Analysis
  3. 3 00:13:58 - Two-Pronged Solution: Data Unification and AI-Infused Analytics
  4. 4 00:15:57 - Exploring Database Mirroring and Open Mirroring with Oracle
  5. 5 00:22:10 - Discussion on replicating vehicle data into Microsoft Fabric
  6. 6 00:26:44 - Two options for leveraging Oracle data: direct access or Fabric unification
  7. 7 00:30:05 - Demonstration of Maya creating AI agents using GitHub Copilot, Fabric, and Oracle databases
  8. 8 00:34:50 - Maya builds custom Copilot combining structured and unstructured data using Azure AI Search
  9. 9 00:39:45 - Ensuring data security and governance with Microsoft Purview and role-based access

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