How Real-Time Data Transforms AI: From Chatbot Failures to Fraud Prevention (And Why Your Business Needs It Now)
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Million-Dollar Mistake You’re Probably Making 💸 Picture this: A customer just canceled their premium subscription to your service. They’re frustrated, they’ve already received a confirmation email, and now they’re chatting with your fancy AI …
🧭 The End of Pipelines as We Know Them
Author(s): Darji | AgentFlux Originally published on Towards AI. 🧭 The End of Pipelines as We Know Them What Replaces CI/CD After AI/CD By Darji — Founder of AgentFlux The Pipeline Didn’t Break — It Just Aged CI/CD pipelines didn’t fail. They …
Google’s Universal Commerce Protocol: A Comprehensive Guide
Author(s): Nikhil Originally published on Towards AI. What is Google Universal Commerce and how it works, an end to end guide. The Universal Commerce Protocol (UCP) is an open-source standard developed by Google in collaboration with over 20 industry partners that enables …
I. The Modern Web & Why FastAPI Exists in 2026
Author(s): Mahimai Raja J Originally published on Towards AI. FastAPI isn’t just another framework. It’s a response to a decade of Web Development built by a Indie Developer without Phd. Guess who? Every few years, a new Python web framework appears and …
“Google’s Secret Weapon: The AI Architecture That Could Make Transformers Obsolete”
Author(s): MahendraMedapati Originally published on Towards AI. Google dropped a bombshell on New Year’s Eve that could make the past 7 years of AI research obsolete. Then they vanished. While you were planning your New Year’s party, Google’s research team published a …
Top 20 Random Forest Interview Questions & Answers
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 07 Solution A Random Forest is an ensemble learning algorithm that builds a “forest” of multiple Decision Trees to improve accuracy and prevent overfitting. During training, it uses two …
Securing AI Agents Without Slowing Innovation
Author(s): Sandip Patel Originally published on Towards AI. By a Sandip Patel, Sr. Cloud Architect (Microsoft) with 20+ years in IT A few months back, after showing off a workflow powered by AI agents, a finance VP asked me a straightforward question: …
UIUC Built a Routing Library for LLMs That Supports 16+ Strategies (From KNN to Multi-Round RL)
Author(s): Gowtham Boyina Originally published on Towards AI. UIUC Built a Routing Library for LLMs That Supports 16+ Strategies (From KNN to Multi-Round RL) I’ve built applications that call multiple LLM APIs, and there’s this constant optimization problem: simple queries waste money …
Demystifying the QR Decomposition
Author(s): Maxwell’s Demon Originally published on Towards AI. Demystifying the QR Decomposition We are privileged. Today, we can build machine learning models almost effortlessly: import an open-source linear algebra or machine learning toolbox, write a few lines of code using appropriate subroutines …
Why Your Power BI Report is Slow: A 10-Minute Performance Audit
Author(s): Gulab Chand Tejwani Originally published on Towards AI. The diagnostic framework that helped me fix a 43-second dashboard in 30 minutes — and saved my job The email came at 9:47 PM on a Thursday. Why Your Power BI Report is …
TAI #187: OpenAI’s Health Push and the Real State of LLMs in Medicine
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI made its biggest healthcare push this week with two launches: ChatGPT Health for consumers and OpenAI for Healthcare for enterprises. The consumer product …
n8n AI Agent Node Memory: Complete Setup Guide for 2026
Author(s): Aveloria Thessar Originally published on Towards AI. Building AI agents that forget everything after each conversation? You’re not alone. Over 70% of workflow automation users struggle with context retention in their AI implementations, according to industry reports from 2025. The solution …
Inside Latent Space: The Hidden Intelligence of AI Systems
Author(s): Rashmi Originally published on Towards AI. Inside Latent Space: The Hidden Intelligence of AI Systems Latent space is the compressed “meaning space” where AI models transform messy real-world inputs (text, images, audio, sensor signals) into dense vectors (embeddings) that capture patterns, …
Can You Predict a Subway Delay Before Transit Officials Announce It?
Author(s): Charlie Taggart Originally published on Towards AI. How I used MBTA train telemetry and machine learning to call out service breakdowns 30+ minutes early I‘m consider myself a patient person. But nothing tests that patience like standing on a T platform …
The Complete Guide to Guardrails: Building AI Agents That Won’t Go Rogue
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini Note: If you’re implementing guardrails soon, this is essential reading; pair it with LangChain’s official docs for edge cases. Let’s begin Picture this: You’ve built an AI agent to handle customer …
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