SAP and Google Cloud Expand Partnership to Deploy Multi-Agent AI - iTWire

· Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Marketing, Branding & Advertising · Depth: Intermediate, short

Summary

SAP and Google Cloud have expanded their partnership to enable the deployment of multi-agent AI, specifically targeting marketing campaigns. This collaboration integrates SAP Engagement Cloud, SAP Customer Experience (SAP CX), and Joule solutions with Gemini Enterprise, allowing customers to use AI agents to access unified data across both ecosystems. Gemini Enterprise will serve as a central hub for data integration and multi-agent coordination, facilitating actions across SAP and Google Cloud platforms. The SAP Business Data Cloud (BDC) Connect solution for Google and BigQuery supports bidirectional, zero-copy data access with enterprise-grade security. These integrations, available in H2 2026, aim to automate and optimize marketing strategies, moving from planning to activation without manual intervention, and are designed to support broader high-value use cases across the SAP CX portfolio.

Key takeaway

For marketing executives seeking to enhance campaign efficiency and ROI, this partnership offers a path to move beyond simple automation. By leveraging unified data and multi-agent AI, your teams can automate end-to-end campaign processes, from content personalization to conversational engagement, freeing up strategic time. Consider piloting these integrations in H2 2026 to achieve faster speed-to-market and continuous optimization.

Key insights

SAP and Google Cloud enable multi-agent AI for marketing, unifying data and orchestrating actions across platforms.

Principles

Method

Integrate SAP CX and Joule with Gemini Enterprise via BDC Connect for Google and BigQuery. Use agent gateway APIs for secure context exchange and action triggering, enabling multi-agent orchestration for marketing objectives.

In practice

Topics

Best for: Executive, Investor, CTO, Director of AI/ML, VP of Engineering/Data, Marketing Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.