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The news On June 23, 2025, Salesforce announced Agentforce 3 , the third iteration of its Agentforce platform. Agentforce 3 is a major upgrade to Salesforce’s digital labor platform. It gives customers the visibility and control that is needed to scale AI agents that already have proven useful at many companies. The release covers several additional capabilities. Salesforce has introduced the Agentforce Command Center, an observability console designed for managing AI agents. This tool allows businesses to track and scale AI agent activities. It is built into Agentforce Studio and includes features for monitoring performance metrics such as latency and error rates through live analytics. The update also brings native support for the Model Context Protocol (MCP), which enables Agentforce to connect with any MCP-compliant server without requiring custom coding. The platform's Atlas architecture has been enhanced to improve latency, accuracy, and resiliency. Support for additional Lar...

In the past few years, I have written about CDPs, what they are and what their value is – or rather can be. My definition of a CDP that I laid out in one of my column articles on CustomerThink is:  A Customer Data Platform is a software that creates persistent, unified customer records that enable business processes that have the customers’ interests and objectives in mind. It is a good thing that CDPs evolved from its origins of being a packaged software owned by marketers, serving marketers. Having looked at CDP’s as a band aid that fixes the proliferation of data silos that emerged for a number of reasons, I have ultimately come to the conclusion and am here to say that the customer data platform as an entity is increasingly becoming irrelevant – or in the typical marketing hyperbole – dead.  Why is that? There are mainly four reasons for it.  For one, many an application has its own CDP variant already embedded as part of enabling its core functionality. Any engageme...

The past weeks certainly brought a lot of news, with SAP Sapphire and Salesforce's surely strategically timed announcement of acquiring Informatica , ranging at the top. I have covered both in recent articles. The enterprise software landscape is crackling with energy, and Artificial Intelligence (AI) is certainly the star of the show. It isn't anymore about AI as a mere feature; it's about AI as the strategic core of enterprise software. Two recent announcements underscored this shift: SAP's ambitious AI-centric vision that was unveiled at its Sapphire 2025 conference, and, arriving hot on its heels, Salesforce's agreement to acquire data management titan Informatica for $8 billion. Both signal an intensified battle for AI supremacy, where trusted, enterprise-wide data is the undisputed new monarch. Of course, SAP and Salesforce are not the only ones duking this one out. SAP's Sapphire Vision: An AI-Powered, Integrated Enterprise At its Sapphire 2025 event in ...

The news On May 27, 2025, Salesforce announced that it has reached a definitive agreement to acquire Informatica for about $8bn. According to the press release, “ bringing together Informatica’s cloud-native capabilities — including its extensive data catalog, data integration, governance, quality and privacy, metadata management, and MDM — with the Salesforce platform will unlock new capabilities for Salesforce’s enterprise data stack, delivering a complete solution to the challenges of AI at scale ”. The acquisition is planned to enhance Salesforce’ data foundation which is critical for deploying agentic AI. “ The combination of Informatica’s rich data catalog, data integration, governance, quality and privacy, metadata management, and Master Data Management (MDM) services with the Salesforce platform will establish a unified architecture for agentic AI — enabling AI agents to operate safely, responsibly, and at scale across the modern enterprise ”. The bigger picture For agentic AI...

The news SAP just held its annual Sapphire event in Orlando, FL. It is totally under the theme of uncertainty and how technology, in particular SAP’s technology, can help businesses steer through poorly charted waters, to use a nautical metaphor. Uncertainty is caused by evolving regulatory situations, tariffs and shipping delays with their impact on the supply chain, waning consumer confidence in the light of all of this, and of course, the big gorilla in the room: AI. SAP’s response to this is the “SAP Flywheel”, which consists of three components Applications, of which SAP commands the broadest portfolio amongst all business applications vendors Data, which all these applications create, which in turn gives SAP extensive access to semantically rich business data AI, which analyses all this data, makes it actionable and, in turn feeds it back to the applications, closing the loop to establish the flywheel. SAP demonstrated how this works in a scenario that showed how a C-suite consi...