The New Foundation for Enterprise AI
Connecting SAP with Your Entire Data Estate
Summary
- With unified, trusted data, enterprises can accelerate decisions, compete with speed, and stay ahead.
- By eliminating silos, organizations can scale securely, cut costs, and realize value faster.
- By integrating SAP with enterprise data, SAP and Databricks are unlocking new opportunities for advanced analytics, AI, and agent systems at scale.
Enterprise AI is no longer an experimental initiative; it's a competitive imperative. But for many global organizations, siloed systems, diverse data sources, and fragmented data architectures continue to stand in the way. Without a unified approach, even the most promising AI strategies struggle to move beyond proof of concept.
The Hidden Bottleneck: Connecting SAP to the Rest of the Enterprise
One of the most valuable and often underutilized data sources for enterprise AI is SAP. SAP customers generate 84% of total global commerce. This ubiquity makes SAP the backbone for many large enterprises.
But for many organizations, SAP data is siloed, making it difficult to gain holistic visibility and trusted data across operations for analytics, forecasting, and immediate business decisions. When SAP data is trapped and not integrated across systems, the consequences go beyond slow insights. An IDC report found that enterprises can lose up to 30% of annual revenue due to data silos.
Why Databricks + SAP Changes the Game
Databricks and SAP have partnered to eliminate these barriers to unified data, enabling integration of SAP data with the rest of enterprise data on a single, trusted platform. This unified foundation allows organizations to:
- Break down operational silos across lines of business
- Enable advanced analytics, AI, and agent-based systems
- Scale securely and efficiently with built-in governance
- Reduce infrastructure costs and time to value
For executives, the payoff is clear: faster decisions, reduced risk, and the ability to move from AI experimentation to enterprise-wide impact.
The Time to Act is Now
The cost of waiting is real: stalled pilots, duplicated effort, and missed opportunities that competitors will seize. Forward-looking enterprises are already integrating SAP with their enterprise data to accelerate AI impact, reduce costs, and outpace disruption.
The World Bank is a great example of an enterprise that understands the need to move beyond fragmented proofs of concept in order to modernize data estates, scale agentic AI, and empower teams to deliver faster, more personalized solutions.
Hear directly from executives at Databricks, SAP, and The World Bank as they share how they are dismantling data silos, preparing for where AI is headed next, and unlocking new use cases through unified data.
Register for the Live webinar on September 16: Smashing Silos: Driving Data Intelligence for Enterprise AI:
