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A report from Autorek, a provider of AI solutions to the insurance industry has produced a report that describes operational drag in companies’ internal processes that not only affect overall efficiency but cause an impediment to the effective implementation of AI in insurance concerns. Insurance Op
A practical guide to caching layers across the RAG pipeline, from query embeddings to full query-response reuse The post Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines appeared first on Towards Data Science.
Building products without the coding part The post The Basics of Vibe Engineering appeared first on Towards Data Science.
Mastercard has developed a large tabular model (an LTM as opposed to an LLM) that’s trained on transaction data rather than text or images to help it address security and authenticity issues in digital payments. The company has trained a foundation model on billions of card transactions, with the in
Why agentic RAG systems fail silently in production and how to detect them before your cloud bill does The post Agentic RAG Failure Modes: Retrieval Thrash, Tool Storms, and Context Bloat (and How to Spot Them Early) appeared first on Towards Data Science.
The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put AI agents to work without losing control of our data and our liability? Announced at GTC 2026 in San Jose on March 16, the NVIDIA Agent Toolkit is an open-source software stack designed to help e
While efficiency is an important source of AI value, it is only part of the picture The post How to Measure AI Value appeared first on Towards Data Science.
Handling outliers and missing values in borrower data using Python. The post Building Robust Credit Scoring Models (Part 3) appeared first on Towards Data Science.
Payments rely on a simple model: a person decides to buy something, and a bank or card network processes the transaction. That model is starting to change as Visa tests how AI agents can initiate payments. New work in the banking sector suggests that, in some cases, software agents may soon take on
An 85% accurate AI agent fails 4 out of 5 times on a 10-step task. Learn the compound probability math behind production failures (and the 4-check pre-deployment framework to fix it). The post The Math That’s Killing Your AI Agent appeared first on Towards Data Science.
The company is reducing Copilot entry points on Windows, starting with Photos, Widgets, Notepad, and other apps.
CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that
New AI agents on WordPress.com could lower barriers to publishing while increasing machine-generated content across the web.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. OpenAI is throwing everything into building a fully automated researcher OpenAI has a new grand challenge: building an AI researcher—a fully automated agent-based
OpenAI is refocusing its research efforts and throwing its resources into a new grand challenge. The San Francisco firm has set its sights on building what it calls an AI researcher, a fully automated agent-based system that will be able to go off and tackle large, complex problems by itself. Open
Power has become one of the biggest bottlenecks in rolling out new AI data centers. That's creating an opening for investors.
This week I want to look at where we are with psychedelics, the mind-altering substances that have somehow made the leap from counterculture to major focus of clinical research. Compounds like psilocybin—which is found in magic mushrooms—are being explored for all sorts of health applications, inclu
The Amazon magnate has a new project centered around acquiring industrial firms and revamping them with AI technology.
AI bots may outnumber humans online by 2027, says Cloudflare CEO Matthew Prince, as generative AI agents dramatically increase web traffic and infrastructure demands.
Meta believes these AI systems can detect more violations with greater accuracy, better prevent scams, respond more quickly to real-world events, and reduce over-enforcement.