See how SAP Business Data Cloud helps preserve business context so AI can deliver smarter, faster decisions.

As AI becomes more central to how every industry operates, data strategies need to evolve. For years, organizations have focused on extracting data into centralized applications and dashboards. But when data loses its business meaning, AI can move fast without the context needed to support good judgment.

SAP Business Data Cloud provides a business data fabric that unifies and governs SAP and third-party data while preserving semantics, business processes, and policies by design. This helps make trusted business context available across the enterprise — not only for analytics, but also for AI agents and intelligent applications.

In this video, learn how SAP Business Data Cloud supports a new approach to data and AI. Instead of spending weeks extracting and transforming data, teams can access governed data products with semantics intact, helping line-of-business leaders analyze profitability, understand performance, and act with greater confidence.

With SAP Business Data Cloud, data and AI become a shared business capability. The result is a foundation that helps organizations preserve business meaning, scale AI responsibly, and drive more impactful decisions.

Chapters:
00:00 – A new era for data and AI
00:16 – Why data context matters
00:51 – The business data fabric
01:03 – Introducing SAP Business Data Cloud
01:19 – Why culture matters for AI at scale
01:35 – Trusted data products in action
01:53 – Preserving business meaning
02:04 – Beyond the data warehouse
02:23 – Data and AI as a shared capability
02:37 – Driving smarter business decisions

Learn more about SAP Business Data Cloud:
https://sap.to/6050B870Kw

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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6055B870K5

#SAP #BusinessAI #DataCloud

See how agentic AI can help planning teams move from static cycles to continuous, connected decision-making.

Market signals don’t wait for the next planning cycle. New demand shifts, cost changes, liquidity pressures, and strategic updates can affect business outcomes in real time. To keep up, planning needs to become more adaptive, more connected, and more responsive to change.

In this video, see how SAP solutions for financial planning and analysis use AI agents to support dynamic planning workflows. These agents help sense what’s influencing key KPIs, reason through scenarios with business context, and turn approved plans into action across connected business systems, with human guidance, transparency, and governance built in.

Instead of rebuilding models or reconciling spreadsheet versions, teams can work from one connected plan with trusted data behind every number. The result is faster planning, more confident forecasting, and more time spent driving strategic decisions with the business.

Accelerate confident decision cycles with Financial planning and analysis (FP&A) solutions from SAP: https://www.sap.com/products/financial-management/financial-planning-analysis-fpa.html

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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html

#SAP #BusinessAI #Finance

Two of the most consequential integration decisions in an SAP project are made before a single flow is configured: which pattern to use, and whether that pattern is even available in the target environment. The second question is the one most often skipped.