DoT Blog

Logo courtesy of Salesforce For decades, enterprise software has revolved around applications; employees log into CRM systems, ERP platforms, HR suites, and countless specialized tools to perform their work. Initially, AI entered this world as another feature, a chatbot here, a copilot there, and an assistant embedded inside the application. But what if the application itself stopped being the center of attention? That is the intriguing question raised by Headless 360 , Salesforce's latest architectural initiative. The announcement appears to be another AI enhancement to the Salesforce ecosystem. However, if we look a little deeper, it becomes something more interesting: an attempt to redefine how enterprise systems expose business capabilities to AI agents . Moreover, if Salesforce succeeds, Headless 360 may represent a much larger shift than the company itself is emphasizing. So, What Exactly Is Headless 360? The easiest way to understand Headless 360 is to forget a...

In October of 2014, Salesforce announced the launch of Salesforce Wave , the cloud-based company’s analytics cloud platform. By that time, Salesforce had already realized that to be able to compete with the powerful incumbents in the business software arena—the Oracles, SAPs and IBMs of the world—arriving to the cloud at full swing would require it to expand its offerings to the business intelligence (BI) and analytics market and to the enterprise mobile app market. Safesforce has realized this goal with Wave Analytics and Salesforce’s analytics app for Sales Cloud customers Wave App . Since then, there have been many developments in the analytics field and especially in the areas of advanced analytics, where most major software vendors have expanded their analytics offerings to the cloud. These events signal Salesforce’s entry into the never-ending race for the ultimate intelligence solution—or not? From Salesforce’s Perspective Cloud-based analytics solution provider Be...