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confidence scoring

5 articles · Page 1 of 1
DataFunTalk
DataFunTalk
Oct 7, 2026 · Artificial Intelligence

360's Data Agent: Dual-Path Semantic Layer & Confidence-Driven Evaluation

360's enterprise Data Agent bridges the NL2SQL production gap with a dual-path routing system—AST compilation for mature semantic layers and RAG fallback for sparse metadata—guided by confidence scores that gate automated reporting versus human review, while evolving skills into an ontology-driven knowledge layer and validating via a three-level evaluation flywheel.

Data AgentDual-Path RoutingNL2SQL
0 likes · 6 min read
360's Data Agent: Dual-Path Semantic Layer & Confidence-Driven Evaluation
AliExpress Tech
AliExpress Tech
Sep 19, 2026 · Artificial Intelligence

Building Trustworthy AI Evaluation: Consistency, Confidence & Pluggable Platform

The article describes an AI evaluation platform that addresses non-determinism, evaluator bias, and dataset chaos by introducing consistency metrics for scenario stability, confidence scores for evaluator reliability, a pluggable architecture supporting four evaluator types, unified dataset management with golden sets, and continuous experiment orchestration across 155 scenarios.

AI EvaluationLLM Evaluationconfidence scoring
0 likes · 48 min read
Building Trustworthy AI Evaluation: Consistency, Confidence & Pluggable Platform
We-Design
We-Design
Jun 25, 2026 · User Experience Design

How to Balance AI Presence Using User Intent

The article examines how to regulate AI's visibility in products by applying a tiered interaction model, defining clear boundaries, and dynamically adjusting response intensity based on user intent and confidence, illustrated with real‑world examples such as Microsoft’s Clippy and data‑dashboard scenarios.

AI interactionJTBDProduct Design
0 likes · 8 min read
How to Balance AI Presence Using User Intent
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 1, 2025 · Artificial Intelligence

How Spotify Uses Multi‑Model Voting to Give GenAI a Trustworthy Confidence Score

Spotify’s finance engineering team tackled the challenge of reliable GenAI outputs for invoice parsing by testing three confidence‑scoring methods, discarding two, and refining a multi‑model voting approach with weighted votes, calibration, and practical implementation details for high‑risk, SOX‑compliant scenarios.

GenAISOX complianceconfidence scoring
0 likes · 9 min read
How Spotify Uses Multi‑Model Voting to Give GenAI a Trustworthy Confidence Score