SAPinsider Las Vegas 2027

March 15–18, 2027 · Bellagio Hotel & Casino

Data & Analytics

For data, analytics, and platform leaders deciding how to make SAP data AI-ready and where Business Data Cloud fits their existing architecture. Evaluate SAP Business Data Cloud as a semantic data fabric, define your hybrid data strategy, and close the data quality gaps that limit AI agent accuracy.

Who this track is for

  • Enterprise Data Management Executives (CDO, CDAO)
  • Data Architect, Data Engineer, Data Scientist
  • Master Data Management Specialist
  • Data Governance Manager
  • Database Administrator
  • AI and Machine Learning Data Engineer

Hot Topics

  • SAP Business Data Cloud as semantic data fabric
  • SAP Knowledge Graph & enterprise data context
  • Dremio acquisition & Apache Iceberg integration
  • Microsoft Fabric & Google Cloud BDC Connect
  • Hybrid architecture with Databricks & Snowflake
  • Master data quality for AI agent accuracy
  • Data sovereignty & regional compliance
  • Decommissioning & selective data migration
  • Operating data pipelines for autonomous processes
  • Analytics modernization & SAP BW
  • Non-SAP data connectivity
  • How clean does data need to be for AI?
  • BDC Connect
  • Data storytelling & visualization

Questions This Track Answers

  • Is SAP Business Data Cloud the answer to our data problems — or just another platform to manage?
  • We already have Databricks and Microsoft Fabric in production. Do we replace, integrate, or run them in parallel?
  • How much does data quality actually matter for AI agents — and where do we start fixing it?
  • What does the SAP Knowledge Graph unlock that we can't do today?
  • How do we manage and monitor the data pipelines feeding our autonomous processes — and what happens operationally when they fail?
  • We have legacy SAP data estate to manage. What's the right framework for deciding what to migrate, archive, or retire?
  • Our data crosses borders. Where does it live, which of it can move, and how do we configure SAP BDC to satisfy our regional compliance requirements?

Practical learning objectives

  • Evaluate SAP Business Data Cloud as a semantic data fabric, define your hybrid data strategy, and close the data quality gaps that limit AI agent accuracy.

Sample Sessions

Proposed sessions only — not confirmed; titles and formats are subject to change.

  • SAP Business Data Cloud: Roadmap and What's New

    Breakout Session

  • The SAP Knowledge Graph: What It Is and Why Agents Need It

    Workshop / Lab

  • Building a Winning Data Strategy for the AI-Ready Enterprise

    Breakout Session

  • Hybrid Data Architectures: SAP BDC with Microsoft Fabric, Databricks, Snowflake, and BigQuery

    Panel

  • Master Data Management in the Age of AI Agents

    Breakout Session

  • Customer Panel: SAP BDC in Production

    Panel

  • Bringing BDC into the Business AI Platform

    Workshop

  • Data Sovereignty by Design: Architecting for Compliance Without Blocking AI

    Breakout Session

  • Operating Data Pipelines for Agentic Processes: Monitoring, SLAs, and Failure Handling

    Workshop

  • Decommission with Confidence: Selective Data Migration and Legacy ECC Archiving

    Breakout Session

  • SAP BDC Connect: Native Connectivity in Practice

    Breakout Session

  • Modernizing SAP BW and Legacy Reporting for the AI Era

    Breakout Session

  • Data Storytelling That Drives Action: Dashboard Design and Visualization Best Practices

    Breakout Session

  • Master Data Ownership: Governance, Accountability, and Keeping It Clean

    Breakout Session

  • How Clean Does Your Data Really Need to Be to Start on AI?

    Panel

  • Connecting SAP and Non-SAP Data: Integration Patterns for a Heterogeneous Landscape

    Breakout Session

Browse Sample Sessions
Registration & Pricing

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