SAP Solidifies Enterprise AI Leadership with Strategic Acquisitions of Dremio and Prior Labs
Most enterprise AI today is underutilised. But instead of lacking “intelligence” or compute power, it’s actually a data problem. Companies are sitting on mountains of customer information that AI simply can’t read or access efficiently.
SAP’s acquisition of Dremio and Prior Labs is a billion-euro signal that agentic AI adoption will be placed at the center of every successful enterprise. For the first time, the data that runs your business – such as your tables or transaction logs – will be natively ready for the next generation of autonomous AI agents like the ones powering agentic commerce.
Unifying Your Data Landscape with Dremio
For years, the dream of a 360-degree customer view has been challenged by the speed of data movement. You have great first-party data in SAP, and you have equally important data sitting elsewhere (web analytics, legacy systems, third-party apps). Usually, getting them to talk to each other involves expensive, slow pipelines that strip away the very context that makes the data valuable.
By acquiring Dremio, SAP is effectively tearing down these walls. Dremio is a data lakehouse platform that allows SAP and non-SAP data to coexist without the need for constant, clunky migrations. For a Chief Marketing Officer or a Head of Sales, this means your AI agents (like Joule) can finally see the whole picture in real-time, enabling faster, more governed decisions.
Prior Labs and Real-Time Intelligence
While Dremio fixes the access to data, Prior Labs is here to fix the intelligence we pull from it.
Most famous generative AI models are great with words but surprisingly mediocre with the structured, tabular data that runs your business – think spreadsheets, transaction histories, and customer behavior logs. Prior Labs specializes in Tabular Foundation Models (TFMs). They are built specifically to handle the “numbers and tables” of the business world.
For our customers in the SAP Customer Experience space, this is transformative. This shift enables high-precision forecasting, allowing businesses to anticipate needs and act proactively:
- Predictive Churn Management: Identify at-risk customers before they churn by spotting subtle behavioral shifts in real-time.
- Intelligent Cross-Sell and Upsell: Leverage complex behavioral patterns to offer the right product at the exact moment a customer is most likely to buy.
- Dynamic Supply and Demand Alignment: Optimize your inventory and supply chain in direct response to commerce trends, reducing waste and boosting agility.
The New Architecture of Autonomy
These two acquisitions signal a total architectural shift toward Agentic AI. Historically, business tools haven’t been smart enough to understand business data on their own; leaders had to manually export spreadsheets, build their own charts, and then explain the results to their teams just to make a simple decision. SAP’s move to unify the data lakehouse with specialized tabular models aims to remove that manual effort entirely.
While the quality and governance of your data remain essential, these tools shift the strategic question: it’s no longer just about whether your data is clean enough for AI, but whether your business model is agile enough to act on the insights AI can now deliver in seconds.
