Senior AI Research Analyst & Foundation Models Editor
Eva Marchand is a senior technology journalist and AI systems analyst who has reported on machine learning, high-performance compute, and distributed infrastructure for over twelve years. With an academic background in cognitive science and distributed data systems, Eva previously served as an enterprise infrastructure analyst covering hyperscaler compute architectures, GPU cluster economics, and open-weights model development across Europe and North America. At The Indox AI, Eva spearheads technical coverage of frontier foundation models (Claude, GPT, Gemini), inference optimization, and the architectural shifts redefining modern developer platforms.
Automation
A comprehensive blueprint for automating modern business workflows: comparing deterministic vs agentic architectures, low-code orchestrators like n8n, vertical domain automations, and calculating true operational ROI.
Eva Marchand
Automation
Using a massive frontier LLM to make a simple boolean or routing decision is slow, costly, and prone to hallucinations. Here is how TypeSafe AI's new 'System One' decision model Jev aims to rethink agentic pipelines.
Eva Marchand
Automation
A practical guide to identifying workplace tasks truly worth automating. Learn where repetitive work hides, why deleting steps beats automating them, how to separate rules from AI, and how to protect your net ROI.
Eva Marchand
Automation
Doctors spend nearly two hours on paperwork for every hour spent with patients. Here is an operational look at where clinic workflows break down, what can realistically be automated, and where human judgment cannot be replaced.
Eva Marchand
Automation
Meta just introduced Muse, an AI assistant that actually does tasks across your apps and browser instead of just answering questions. Here is how it works, how it keeps you safe, and what it means for your daily tech.
Eva Marchand