Enterprise Context
Enterprise Context on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on enterprise context in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around enterprise context, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Forward-deployed engineering is how enterprise AI learns
Forward-deployed engineering (FDE) is rapidly reshaping enterprise AI, but its true value isn't always clear. Zeta’s Neej Gore unpacks the nuances, distinguishing between FDE that builds lasting product advantage and that which simply accumulates delivery labor. The test? Does each subsequent deployment leverage more product and fewer unknowns? This piece explores how to evaluate FDE, track its impact, and ensure it fuels a system of intelligence – ultimately, a product that gets better at understanding.
Orchestration is the new challenge for CX in the age of AI agents
The rise of AI agents presents a new challenge for customer experience: orchestration. As enterprises rapidly deploy AI across channels, many are struggling to integrate these tools with legacy systems, creating fragmented customer journeys and overburdened human agents. Tata Communications’ Gaurav Anand explains that the shift is moving away from simple automation toward intelligent orchestration—connecting tasks and delivering end-to-end outcomes with a shared understanding of the customer. Discover how this approach, underpinned by a common enterprise ontology, can transform CX.
Why SAP says enterprise AI agents need knowledge graphs and governance
At VB Transform 2026, SAP’s Max McPhee highlighted a critical distinction: truly autonomous enterprise AI agents require more than general knowledge; they demand grounding in a company’s specific context. This stems from the need for agents to understand internal processes and terminology, achievable through knowledge graphs and robust governance. SAP’s decades of experience in process control, combined with recent acquisitions like LeanIX, are strategically positioning the company to empower organizations navigating this transformative shift—a shift underscored by insights into Google’s rapidly evolving AI search.