Tag:AI Agents

Articles tagged "AI Agents".

• 32 MIN READ•Oct 5, 2026

  How to Build a Golden-Question Benchmark for Your Data Agents

  Build a golden-question benchmark for data agents: frozen Iceberg tags, execution-based scoring with Arrow, and CI gates.

  evaluationAI agentsApache Iceberg
• 31 MIN READ•Oct 5, 2026

  When a Data Agent Gives a Wrong Number: Incident Response for Agentic Analytics

  A plan for when a data agent gives a wrong number: severity levels, containment, Iceberg time travel reproduction, and blast radius queries.

  incident responseAI agentsApache Iceberg
• 31 MIN READ•Oct 5, 2026

  Multi-Tenant Data Agents: Serving Many Customers From One Lakehouse

  Serve many customers from one lakehouse without leaking between them: isolation models, Polaris grants, and tenant-scoped agent state.

  multi-tenantApache PolarisAI agents
• 31 MIN READ•Oct 5, 2026

  Release Management for Data Agents: Shipping Prompts, Tools, Models, and Metrics Without Breaking Answers

  Ship prompts, tools, models, and metric changes without breaking answers: agent manifests, shadow mode, canaries, and rollback.

  release managementAI agentsevaluation
• 31 MIN READ•Oct 5, 2026

  Semantic Caching for Data Agents Without Serving Stale or Leaked Numbers

  Cache data agent results safely with canonical query keys, Iceberg snapshot freshness checks, and permission-aware cache keys.

  cachingAI agentsApache Iceberg
• 31 MIN READ•Oct 5, 2026

  Small Language Models for Data Agents: Where They Win and Where They Fail

  Where small language models win inside a data agent and where they fail, plus a routing architecture that escalates only when needed.

  small language modelsAI agentssemantic layer
• 31 MIN READ•Sep 28, 2026

  Turning an Analytics Question Into a Verified Agentic Graph

  A complete AGS 1.0 graph for governed metric questions, with verification gates, deterministic check scripts, and reconciliation against a semantic layer.

  AI AgentsAgentic Graph SpecificationMulti-Agent
• 31 MIN READ•Sep 28, 2026

  Twelve Queries That Pass Every Schema Check and Still Return the Wrong Number

  Twelve query patterns that pass schema validation and still return wrong numbers, with detectors, required metadata, and tested code for each.

  AI AgentsSemantic LayerData Quality
• 31 MIN READ•Sep 21, 2026

  How Apache Ossie Is Deciding What Agents and BI Tools Can Ask a Semantic Layer

  How Apache Ossie's layered query design gives AI agents both a constrained dimensional interface and a grain-safe SQL interface for semantic layers.

  Semantic LayerApache OssieAI Agents
• 31 MIN READ•Aug 25, 2026

  Securing the Agentic Lakehouse Gateway: Preventing Prompt Injection and Data Exfiltration

  Agentic lakehouse gateways face prompt injection and exfiltration through query results. A threat model and defenses for the layer in front of data.

  AI agentssecurityMCP
• 31 MIN READ•Aug 25, 2026

  Metric Contracts in Code: Testing, Versioning, and Serving Business Logic to Multi-Agent Systems

  Metric contracts in code let teams test, version, and serve business logic to multi-agent systems without each agent inventing its own SQL.

  metricsAI agentssemantic layer
• 31 MIN READ•Aug 25, 2026

  Query Routing at Machine Scale: Dynamic Workload Distribution Across Lakehouse Engines

  Route each lakehouse query by shape, not by sender. Signals, rules, and how to keep dashboards, batch jobs, and agents from sharing one engine.

  query engineslakehouserouting