AI - Page 2
Applied AI for real businesses, not demos - chatbots, retrieval-augmented generation, choosing the right LLM, agents, and governance. Written to help you ship features that earn their keep instead of chasing hype.
44 articles · written by senior engineers
Insurance Underwriting Automation: What to Automate and How
Underwriting automation can cut quote times from days to seconds - but only where it is applied with judgement. Here is what P&C insurers can automate, what needs a human, and how to start.
AI In Education: Adaptive Learning That Works
A practical look at how AI is used in education today - adaptive paths, tutoring assistants, automated feedback, at-risk analytics - and the real trade-offs.
AI In Automotive: From ADAS To Fleet Intelligence
AI is already shipping in cars, factories and fleets. Here is what actually works across ADAS, maintenance, telematics and routing - and what still bites.
Chatbots vs LLMs vs AI Agents: What Does Your Business Need?
Chatbot, LLM and AI agent get used interchangeably, but they are three different things. Here is what each one is, how they relate and which you need.
AI in Fintech: Credit, Lending and Investing
A practical look at how AI is used across fintech - credit, lending, fraud, investing and compliance - and the honest challenges behind it.
AI in Healthcare: A Practical Guide to Where It Actually Works (and Where It Doesn't)
Clinical decision support, imaging, predictive analytics, patient chatbots - here's where AI earns its place in a regulated clinical setting, and where it doesn't.
AI in Banking & Financial Services: A Practical Guide to Real Use Cases in 2026
Cut through the hype: here's where AI genuinely earns its place in banking and financial services, how to pick your first use case, and the governance you can't skip.
Build vs Buy AI: An Honest Decision Guide for Business and Tech Leaders
The answer to build vs buy AI is rarely one or the other, and never decided once. Here's an honest framework you can apply per use case.
RAG vs Fine-tuning for Enterprise GenAI: An Honest Comparison
RAG and fine-tuning solve different problems, and the best systems often use both. Here's what each actually does, and how to decide which your feature needs.
MLOps for Enterprise AI: Getting Models to Production and Keeping Them There
Training a good model is the easy part. MLOps is the discipline that gets it into production, keeps it honest, and stops it quietly rotting over time.
RegTech and Compliance Automation: How to Build and Adopt It Without Losing Control
Compliance work is repetitive, high-stakes and growing. RegTech automates the mechanical parts so your team can focus on judgement. Here is how to build or adopt it without losing control.
AI in Real Estate: Practical Uses for Property and Proptech Teams in 2026
AI is quietly reshaping how property firms value assets, qualify leads and manage buildings. Here is where it earns its place, and where the realities of data and bias bite.