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Why Task-Based Evaluations Matter

Why Task-Based Evaluations Matter

by Dr. Owns | Sep 10, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype to Production: Evaluation Strategies for Agentic Applications. Task-based evaluations, which measure an AI system’s performance in use-case-specific, real-world settings, are...
How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n

How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n

by Dr. Owns | Sep 10, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Email → n8n → LangGraph → FastAPI: turning budget requests into optimised CAPEX portfolios that maximise ROI for decision-makers. The post How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n appeared first on Towards...
LangChain for EDA: Build a CSV Sanity-Check Agent in Python

LangChain for EDA: Build a CSV Sanity-Check Agent in Python

by Dr. Owns | Sep 9, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

A practical LangChain tutorial for data scientists to inspect CSVs The post LangChain for EDA: Build a CSV Sanity-Check Agent in Python appeared first on Towards Data Science. ​A practical LangChain tutorial for data scientists to inspect CSVs The post LangChain for...
How to Build Effective AI Agents to Process Millions of Requests

How to Build Effective AI Agents to Process Millions of Requests

by Dr. Owns | Sep 9, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Learn how to build production ready systems using AI agents The post How to Build Effective AI Agents to Process Millions of Requests appeared first on Towards Data Science. ​Learn how to build production ready systems using AI agents The post How to Build Effective...
The Hungarian Algorithm and Its Applications in Computer Vision

The Hungarian Algorithm and Its Applications in Computer Vision

by Dr. Owns | Sep 9, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Introduction Multi-object tracking (MOT) is a task in which an algorithm must detect and track multiple objects in a video. Most known algorithms are based on using simple detectors (e.g. YOLO) designed for processing individual images. The overall method involves...
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