Data Analytics

Ask a chatbot "which promotion should we run more of," and it answers in one breath. It picks a number, states it with confidence, and stops. It picks the promotion with the best-looking number and states its choice confidently. But it may never check how much data that number is based on. A promotion that…

Most production AI agents still send every LLM call to the same expensive frontier model. Classification steps, simple tool calls, progress checks, and hard reasoning all hit the same endpoint. The result is unnecessary cost and latency. NVIDIA NeMo Switchyard solves this. It is an open-source routing layer (proxy + library) that sits between your…

Introduction Running a small language model locally is straightforward. Running one productively — inside a real development workflow, with proper context, tool access, and iteration speed — is a different problem entirely. The gap between "I got a model responding in my terminal" and "I have a local AI setup that actually improves how I…

Sponsored Content       Enterprise AI is moving into a very different phase. The conversation is shifting from what AI can do to much harder questions: How do we scale it? How do we govern it? What should we automate? Is our data foundation ready? And who is accountable when AI starts making…

  #  Introduction   Over three years of mentoring data science students across more than a thousand sessions, one question comes up before anyone writes a line of code: where do I start with AI? Students arrive motivated but without a map. They read about machine learning engineers, research scientists, and data scientists, and assume…

  Web scraping is the process of collecting information from websites automatically. A normal scraper usually extracts raw text, HTML elements, or the full page content. But when you are building AI agents or large language model (LLM) applications, sending the entire webpage to the model is not always the best approach. A better…

  "Agent" might be the most overloaded word in AI right now. To one person it means a chatbot with a system prompt. To another, a script that calls an API twice. To a vendor's slide deck, it means a fully autonomous system that books your travel and negotiates your invoices. That gap between the…

  #  Introducing GitHub's Agentic Workflows   It's 9 AM on a Monday, and forty-three new issues are sitting in the backlog. Some are real bugs. Some are duplicate feature requests. A couple are just someone venting about a typo. Whoever is on triage duty this week is going to spend the first two hours…

  #  Introduction   Most people picture building a voice agent as stitching three things together: speech-to-text (STT), a large language model (LLM), and text-to-speech (TTS). Wire them up, and you're done. That picture is correct as far as it goes, and it describes the simplest architecture, where each stage waits for the previous one…

★ Editor's Pick — Most Read Article This Week 🖥️ Top 5 MCP Servers for High Performance Agentic Development Nahla Davies  ·  Programming  ·  July 20, 2026 The Model Context Protocol standardizes agent tooling, enabling interoperability across platforms for tasks ranging from code execution to web interaction. High-performance agent development requires integrating specialized…