Enterprise architecture
Enterprise architecture on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on enterprise architecture 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 architecture, 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.

Why Capital One built its multi-agent AI platform around open-weight models
At VB Transform 2026, Capital One’s Kel Vanee detailed the bank’s strategic shift toward building AI, not just using it. Capital One constructed a scalable, multi-agent AI platform centered around deeply customized open-weight models, leveraging proprietary data for enhanced accuracy and extensibility. This approach, underpinned by prior investments in data transformation and cloud adoption, enables the bank to optimize workflows, from fraud detection to customer service, and even automate internal infrastructure tuning.

Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer
Scaling enterprise AI agentic platforms demands a pragmatic approach to the messy realities of organizational data and workflows. Arun Joseph’s presentation, "Architecting AI Systems for the Messy Reality of Enterprises," reveals crucial insights gleaned from Deutsche Telekom’s LMOS platform. He outlines how to bridge organizational silos, consolidate tool sprawl, and evolve beyond basic chatbots toward operational intelligence—all through ephemeral agents and a standardized Agent Definition Language (ADL). For deeper understanding of the underlying data infrastructure, explore our "LanceDB Vector Database Guide."