SAP aligns commerce data for AI personalisation

AI is getting most of the attention in enterprise technology. Governance, ownership, and data quality do most of the heavy lifting behind the scenes. And yet, as organizations move from AI experiments to production deployments, trusted context is becoming a key factor in determining whether agents create business value — or operational risk. That shift is reshaping how Salesforce, Microsoft, Snowflake, Databricks, SAP, Oracle, and others are positioning their data, governance, metadata, and integration services. The conversation is no longer just about models. It’s about whether AI systems can operate against trusted, governed, and business-relevant information. Trusted context has become the new currency, and Salesforce has made a strategic commitment to it. Agentic AI is exposing the problems master data management was designed to solve Master data management (MDM) spent much of the last decade as an important but often overlooked infrastructure. AI is changing that. Agentic systems

Adobe will now issue security patches for its products twice as often to deal with the increasing pace of software vulnerability discovery and exploitation. This follows Oracle’s decision to increase its quarterly patch program to a monthly one. Adobe issues patches on the second Tuesday of each month, as do Microsoft and SAP. Starting in July, it will also issue them on the fourth Tuesday of each month, it said in a blog post. As an early indicator of the need for the faster rhythm, it issued two security advisories dealing with a number of critical vulnerabilities on June 30 — the fifth Tuesday of that month: APSB 26-28 and APSB26-29. It is not alone in issuing out-of-sequence patches for urgent fixes: In April, Microsoft also released one to react to a particular threat. Adobe said in a blog post that it is responding to the increased level of threats: “Twice-monthly bulletins will enable us to keep pace with the era of frontier AI. More vulnerabilities found means more fixes to dep

The German software giant SAP says it is betting that employees can reinvent jobs instead of eliminating them. Experts are divided on whether it will work.

Backed by Mayfield and Aramco Ventures, Vishal Sikka’s new venture brings together veterans from SAP, Infosys, and VianAI.

SAP and Google Cloud are deploying agentic commerce architecture to automate multi-agent marketing and retail operations at enterprise scale. SAP research indicates 78 percent of businesses consider AI essential for retaining customers in 2026. However, the same data reveals fewer than two in five companies share customer data across customer experience (37%) or CRM (39%) […] The post SAP and Google Cloud deploy agentic commerce architecture appeared first on AI News.

Financial institutions have spent years building AI: fraud models, credit models, recommendation engines and risk systems. While this sprawl of task-specific models has been effective, it’s also constrained by siloed systems.  Siloed systems prevent institutions from developing a unified understanding of consumers’ financial behavior. As enterprise datasets keep growing, so does the gap between what […]

All 25 announcements from Orlando, what's actually shipping vs. what's marketing — and what it means for the document and data foundation of the autonomous enterprise. SAP's Sapphire 2026 in Orlando was the most AI-dense keynote in the company's history. Christian Klein

I spent years at Google as a software engineer and tech lead building the systems that decide which ad you see, when you see it, and whether you clicked. Recommendation engines. Tracking pipelines. Conversion funnels. The whole architecture of the attention economy, wired together. Then, somewhere around 2024, I started noticing something. When a user […]