OceanBase·1d agoOntology-Driven Enterprise Data Agents: From Retrieving Numbers to Explaining WhyEvery enterprise wants an AI that can answer questions about its data: ask a question in plain language, retrieve business performance…
Ariftly·2d agoThe Enterprise Context Gap: What AI Agents NeedWhat context does an enterprise AI agent need beyond RAG?
Design Partner Index·Oct 28Best Design Agency for a Startup Building Enterprise Software (2026)A startup building enterprise software has a design problem that neither a typical consumer-app studio nor a large consulting firm is set…
Jiteshkumawatjpr·Oct 26Shadow IT: the Spreadsheet Secretly Running the CompanyWe found it during the migration audit — the one I’ve written about, the weekend that became a quarter, the census of everything secretly…
CuriousTechie·Oct 25Enterprise Resilience: A Strategic Framework for Azure Migration and High-Availability Design1. The Imperative of High Availability in Cloud Transformation
InDesign Systems CollectivebyShadi Abd·Oct 23Your Design System Isn’t AI-Ready YetArchitecture or Folklore? A practical roadmap for making enterprise design systems machine-readableA response icon1A response icon1
Adithya Bandara·Oct 22Same Tools, Opposite ResultsAnthropic says AI agents are transforming its work. Half the industry is quietly pulling back. Here’s why I think both stories are true…
Ariftly·Oct 20Why 20% vs 18% Is Not a US–EU AI Adoption RankingOfficial AI adoption statistics can be authoritative and still be the wrong inputs for a country ranking. Eurostat’s 20.0% and the U.S…
OceanBase·Oct 20Building on the Semantic Layer: OceanBase DataPilot’s Approach to OntologyA Data Agent that can tell you “What did we spend this month?” isn’t necessarily one that can help you manage costs. When costs go up…
