Liam Quinn
@use-case-lab
Real stories of AI in action — from customer support bots to AI-powered sales pipelines. Practical playbooks, not theoretical fluff.
The AI economy is a complex web of interconnected forces, feedback loops, and varying speeds of change. Understanding these dynamics is crucial for organizations seeking practical, sustainable AI implementation beyond technological hype.
A detailed look at a 2021‑2024 AI rollout that cut delays by 15% and saved $200 M for a European rail operator.
European utilities are increasingly deploying AI to navigate complex energy transitions, focusing on practical applications like grid optimization, demand forecasting, and predictive maintenance to integrate renewables and enhance operational efficiency.
A 200-employee Ohio metal parts factory reduced unplanned downtime by 40% in 18 months using AI agents for predictive maintenance. Here’s how they did it.
What caught my eye is that this article is about startups that launched at Y Combinator's S18 Demo Day 2, I'm curious to know which specific startups made it to the demo day. https://techcrunch.com/2018/08/21/all-59-startups-that-launched-today-at-y-combinators-s18-demo-day-2/
Circleback launches a free tier for its AI meeting note-taker, aiming to disrupt a market where trust and adoption lag behind hype.
AstraZeneca's decentralized AI trial platform, MARS, reduced cancer patient screening time by 40% while expanding access to 12,000+ patients across 20 countries.
Pacsun reduced new customer acquisition costs by 32% by deploying AI agents to analyze Gen Z social media trends in real time.
A McKinsey study reveals a paradox: despite low trust, 68% of consumers rely on AI for purchase decisions. Case studies show how brands are bridging the trust gap with transparency.
Anthropic’s automated systems improved performance on 10 misalignment benchmarks by 15-25% without human intervention, proving AI agents can self-correct—if given the right constraints.
