Search results for Ai Experimentation

Let the AI Do the Experimenting

Using autoresearch to optimise marketing campaigns under budget constraints The post Let the AI Do the Experimenting appeared first on Towards Data Science.

AI Triage – From Experimentation to Enterprise Scale

Intro <p class="wp-block-paragraph">For almost every company, the AI wave hit without warning, sweeping over them like a tsunami. Playbooks from previous</p>

How we test AI at ZDNET

AI is the hottest topic in tech with new models and products launching daily. Here's how we test the latest AI developments at ZDNET.

Thoughtful AI Implementation for UXR Leaders

Thoughtful AI implementation for UXR leadersSetting a vision will guide you and team to the right tools, in the right context.Source: Aurora-Alley on DeviantArtI’m an AI skeptic.Th...

A Guide to Creating an AI Toolkit

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to...

How to Move from AI Experimentation to AI Transformation

What companies like Lowe’s are doing differently.

AI in Gaming: A Reality Check Beneath the Hype

Artificial intelligence continues to dominate conversation across the games industry. From automated testing tools to AI-assisted art and narrative generation, it’s often framed as...

Monitoring LLM behavior: Drift, retries, and refusal patterns

The stochastic challengeTraditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other...

Building a Production-Ready AI Agent in 2026: Beyond the Hello World Demo

The Demo Problem: The "Vibe" vs. The "System" In 2026, the novelty of an AI agent answering a question has evaporated. Every developer can string together a "Hello World" demo usi...

At-scale testing for LLM implementations and guardrails (Reader Forum)

As AI becomes the public face of business, organizations must validate performance, security, and cost efficiency at scale. Comprehensive testing under realistic workloads is essen...

The Only AI Test That Still Humbles Every Machine on Earth

Imagine a video game with no instructions. No tutorial. No hint of what winning even looks like. You get dropped in, and you figure it out. Most people do this in under a minute.

ARC: The Architecture for Reasoning Control

Three Lessons from an AI Makeathon I recently participated in a makeathon focused on building AI-powered applications. Over 2–3 intense days, I watched teams go from idea to demo —...

Shipping Production-Grade AI Agents

Building an AI agent prototype is one thing; running it safely and reliably in production is another. This Refcard walks engineers and technical leaders through the architecture, g...

How to Build and Optimize AI Models for Real-World Applications

Unlike other years, building an artificial intelligence model is now simple for developers using well-defined architectures, pre-trained AI models, and a wealth of training resourc...

AI reality check: Here's what three companies learned building wallets, homes, and games

Executives from Citi, Home Depot, and Capcom describe early work with AI agents While AI agents have moved from experimental tools to customer-facing workers in a matter of months,...

Why AI that works in the lab often fails in production — and what actually fixes it

Presented by Capital One Enterprises aren’t struggling to experiment with AI; they’re struggling to make it work in the real world. Moving from promising prototypes to reliable, pr...

Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance

AI-infused apps are different from traditional software. Apps that embed large language models, agents, retrieval-augmented generation (RAG), or tool-calling workflows bring their...

Intentmaking, Sensemaking, and AI Boundary Objects: How Advanced AI Helps Users Discover What They Want

Advanced AI work is not a simple prompt-response loop. Users discover their goals through experimentation, interpret machine output through boundary objects, and refine intent over...

Gemini for Science: AI experiments and tools for a new era of discovery

Gemini for Science is a new collection of science tools and experiments to expand the scale and precision of scientific exploration.

Check out real-life AI prototypes from the Futures Lab.

University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.

The invisible system: How AI is redefining game testing and balancing

There is a moment every player recognises, even if they cannot fully articulate it. The game feels balanced. Progression is smooth. Challenges are engaging without being overwhelmi...

AI in Capital Markets Handbook 2026: From Experimentation to Governed Execution

Capital markets firms are under pressure to convert AI experimentation into sustainable business value. The challenge is not simply finding use cases but demonstrating that AI can...

Building Production-Grade GenAI on GCP with Vertex AI Agent Builder

Evidence of the ideas behind generative AI is not challenging to build, but the barrier between experimentation and production presents another group of concerns: repeatability, wo...