Your retained customers and your churned customers are telling the same story.

by Mihaela Blanaru — Most organisations run two separate research programmes.

Medium·38m ago

FastAPI Isn’t Just Growing It’s Becoming the Default Shape of Python Backends in the AI Era

by Neurobyte — Why teams building AI products, internal tools, APIs, and model-powered services keep converging on FastAPI for speed, structure, and…

Medium·44m ago

Most Businesses Don’t Have a Data Problem. They Have a Visibility Problem.

by KLynn Brevix AI — Your fraud models are only as good as what they can see — and right now, most of them are flying half-blind.

Medium·57m ago

Implement Graph RAG from Scratch with NetworkX and Claude

by Armin Norouzi, Ph.D — Flat vector search has a blind spot. Ask it “what connects OpenAI, Anthropic, and DeepMind?” and it returns the three most similar chunks…

Towards AI·1h ago

Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer

What laws does superintelligence demand?

Import AI·2h ago

AI automates HR compliance, except for the area tech companies need

Artificial intelligence is transforming how companies handle compliance. Background checks run in real-time. Payroll monitoring flags discrepancies automatically. Predictive analytics anticipate...

AI News·41m ago

AI in Cyber Attacks Explained: How Hackers Use Artificial Intelligence to Launch Smarter Attacks

by Manula Udyoga — Understanding the dark side of AI in modern cybersecurity

Medium·44m ago

K-Nearest Neighbors: Learning by Looking Around

by Mohammed Maaz Shaik — Understanding KNN Through Intuition, Similarity, Distance, and Human Behavior

Medium·1h ago

CNN Architecture Evolution: ResNet → EfficientNet → ConvNeXt — What Actually Changed?

by Vishesh S. — A practitioner’s deep dive into whether CNN progress came from better architecture or better scaling and training.1. The Wrong Question We Keep AskingHere’s something I kept running into when...

Towards AI·2h ago

I Took a 397MB Model and Turned It Into a Customer Service Chatbot That Actually Works

by Montasir Mahmud — Part 2 of my “tiny models, big surprises” series. This time I stopped just running them and started shaping them.A few weeks ago I wrote about running TinyLlama on my MacBook Air and being quietly...

Towards AI·2h ago

The 5 Concepts Every Developer Should Understand Before Building AI Features

by Ramya Ravi — Build AI features that hold up in production.These days, adding an AI feature to your application is easier than ever — a few API calls, a model endpoint, some glue code, and you have semantic...

Towards AI·3h ago

Using AI for Debugging and Incident Analysis in Real Systems

by Rivani Patware — From analyzing logs to identifying patterns, AI can assist debugging — but it still requires engineering judgment.

Medium·44m ago

AI vs ML vs Deep Learning Fundamentals Understanding

by Srikanth Josyula — Beyond the “If-Then”: A Guide to AI, Machine Learning, and Deep Learning

Medium·49m ago

Augustus gets conditional OCC approval for AI and stablecoin bank

TradingView·1h ago

Implementing advanced AI technologies in finance

In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while...

MIT Tech Review·2h ago

PySpark for Beginners: Mastering the Basics

by Thomas Reid — A step-by-step guide to understanding distributed data, lazy logic, and your first DataFrame. The post PySpark for Beginners: Mastering the Basics appeared first on Towards Data Science.

Towards Data Science·3h ago