Enabling Resilient Supply Chains with Trusted Data and AI
Learn why resilient supply chains depend on unified data foundations, standardized governance, and real-time visibility across the enterprise.
Resources
Explore forward-thinking perspectives from our industry experts.
Method-as-Code: The Operating Model for Enterprise Data at Scale
See how Method-as-Code transforms enterprise data delivery by turning methodology into governed assets that accelerate modernization.
The Data Problem Your S/4HANA Migration Didn’t Solve
Explore takeaways from SAP Sapphire, including why Clean Core, governed data foundations, and SAP data readiness are critical for AI success.
Converging the Modern Data Stack: Integrated Cataloging Across SAP S/4HANA, SAP Business Data Cloud, and Snowflake
Explore how integrating catalogs across SAP S/4HANA, SAP BDC, and Snowflake enables trusted metrics and AI-ready data foundations.
The Missing Piece in Your AI Project
Explore how AI inherits data decisions, why missing context leads to unreliable outputs, and why governance is the missing piece in production-ready AI.
Why Customer Trust Will Define AI Success in 2026
Learn why customer trust, transparency, and engagement are becoming the defining drivers of AI product success.
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State of Data Report 2026
The State of Data 2026 gives you a clear, data-backed view of how enterprises are scaling AI and where many are falling behind. Powered by IBM Institute for Business Value research, it helps you understand what’s working, what’s risky, and how to approach agentic AI, governance, and hybrid architecture with confidence this year.
