Tag:AI Agents
Articles tagged "AI Agents", page 4.
- 31 MIN READ•Jul 28, 2026
Surviving Commit Conflicts When Dozens of Writers Hit the Same Iceberg Table
Why Iceberg commits fail on stale metadata as writer counts grow, how isolation levels and retry settings change the outcome, and how to budget for contention.
Apache IcebergConcurrencyData Engineering - 31 MIN READ•Jul 28, 2026
Wiring an AI Agent to Apache Polaris with the Model Context Protocol
How to connect an AI agent to Apache Polaris with its official MCP server: authentication, adding a read path, tool descriptions, and credential vending.
Apache IcebergMCPAI Agents - 31 MIN READ•Jul 25, 2026
Governing What Agents Cost You
Agents break the four assumptions analytics platforms were built on. A practical guide to identity, budgets, semantic layers, caching, and instrumentation.
AI agentscost governancedata platform - 20 MIN READ•Jul 13, 2026
Active Analytics Loops for AI Action Agents
The seven steps of an active analytics loop where agents watch signals, validate causes, and act with approval, plus tool design, guardrails, and case studies.
AI AgentsAnalyticsData Engineering - 18 MIN READ•Jul 13, 2026
The Chase-Catch Gap in Enterprise AI Agents
Why enterprise AI agent pilots stall between demo and production, and how a knowledge layer, readiness metrics, and lakehouse architecture help close that gap.
AI AgentsEnterpriseAgentic AI - 18 MIN READ•Jul 13, 2026
Data Lakehouse Open Standards for AI Agents
Why AI agents expose data silos, and how Iceberg tables, REST catalogs, and federated query across object stores give agents one governed path to company data.
LakehouseOpen StandardsAI Agents - 18 MIN READ•Jul 13, 2026
Five-Layer Agentic Lakehouse Architecture
A five-layer pattern for trusted agentic analytics (data, knowledge, agents, tools, policy), how one request moves through it, and a checklist for your stack.
Lakehouse ArchitectureAI AgentsEnterprise - 18 MIN READ•Jul 13, 2026
GSA MCP Servers for Open Data AI Agents
Why federal open data needs agent-ready interfaces, what MCP adds over legacy APIs, the GSA hackathon as a signal, and a blueprint for a read-only SQL MCP tool.
MCPGovernmentAI Agents - 18 MIN READ•Jul 13, 2026
Iceberg Concurrency for AI Agent Writes
How Iceberg optimistic concurrency behaves when fleets of agents commit, and how partition isolation, commit queues, and ingestion gateways prevent conflicts.
Apache IcebergConcurrencyAI Agents - 17 MIN READ•Jul 13, 2026
MCP Stateless Gateways for Data Agents
Why stateful MCP servers fail to scale under agent load, and how stateless gateways handle credential delegation, context isolation, and database guardrails.
MCPData GatewaysAI Agents - 17 MIN READ•Jul 13, 2026
Semantic View Autopilot for AI Governance
Where AI-drafted metric definitions and semantic views help, where they go wrong, and how lineage, programmatic review, and accuracy checks keep them honest.
Semantic LayerGovernanceAI Agents - 15 MIN READ•Jul 6, 2026
Building Closed-Loop Decision Agents: Moving from Passive BI Dashboards to Active Goal-Directed Workflows
How to build decision agents that observe signals, validate evidence, and act within approved limits, using metric contracts, risk tiers, and human approval.
ai agentsdecision agentsworkflows