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Seven Critical AI Questions SAP Must Answer at Sapphire Conference

May 17, 2025•Jon Reed•Original Link•2 minutes
AI
SAP
EnterpriseSoftware

As SAP Sapphire approaches, the spotlight is on how SAP will address key AI concerns. Here are seven pressing questions about AI that SAP needs to answer, along with insights from major SAP user groups.

As SAP Sapphire 2025 nears, all eyes are on how SAP will address the evolving AI landscape. With major announcements like the Business Data Cloud (BDC) launch and expanded Databricks partnership, SAP has positioned itself at the forefront of enterprise AI. However, customers and analysts have burning questions that need answers.

Top 7 AI Questions for SAP

  1. Core AI Agent Platform: Can SAP establish itself as a hub for AI agent orchestration? Recent moves like joining Google's A2A protocol and early involvement with Anthropic's MCP show promise, but customers need clarity on interoperability.

  2. Relevance of Cloud Software: With debates about the "Death of SaaS," SAP must articulate why cloud solutions like S/4HANA remain vital in an AI-driven world.

  3. Messaging Gap: SAP risks outpacing customer readiness. The focus should shift from futuristic "autonomous agents" to practical, results-driven AI applications today.

  4. Diverse Customer Views: With 50% of users believing AI is overhyped and 35% expecting industry revolution, SAP must balance hype with tangible, near-term benefits.

  5. Data Quality & BDC Impact: Will Business Data Cloud deliver on its promise to simplify data integration for AI? Licensing models and real-world use cases will be critical.

  6. Knowledge Graphs & Foundation Models: SAP's investment in knowledge graphs for structured data processing could be a game-changer. More details are needed at Sapphire.

  7. Innovation Access: Customers want quick wins and sandbox environments, even without committing to RISE or GROW. Will SAP expand these opportunities?

User Group Insights

  • DSAG: Emphasizes education and risk management, demanding AI access for on-premise customers.
  • UKISUG: Warns against applying AI to broken processes, stressing data governance.
  • ASUG: Urges SAP to use AI tools to streamline cloud migrations, reducing cost and time.

Walter Sun, Global Head of AI, SAP

For deeper analysis, check the full interview with SAP's Irfan Khan and the ASUG Talks podcast.

"Every time you customize your ERP system, you should have compelling reasons," says ASUG CEO Geoff Scott, highlighting the need for agility in AI adoption. With Sapphire just days away, SAP has a chance to bridge the gap between AI potential and practical execution.

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Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

Expertise

Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
Publications
120+
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