Artificial Intelligence
How to validate a business idea with AI without falling in love with the solution
A method for using AI in discovery, hypothesis building and experiments without confusing plausible answers with real demand.
Beatriz Asensio
With more than 20 years of experience in the IT sector, Beatriz leads teams and projects combining technical vision, strategic management and a specialisation in Artificial Intelligence. The aim is to turn ideas into real, innovative technology solutions, aligned with each client's business objectives.
Articles by Beatriz Asensio at Impulsa3
Artificial Intelligence
RAG explained: what Retrieval-Augmented Generation is and why your company needs it
Generic LLMs do not know your business. RAG (Retrieval-Augmented Generation) is the technique that allows generative AI to answer with information from your own documents, products and processes, reducing hallucinations and producing reliable, verifiable answers.
Artificial Intelligence
How to monitor an AI system in production: quality, drift, costs and risks
An operational dashboard for detecting when an AI system loses quality, increases costs or starts behaving unexpectedly.
Artificial Intelligence
Data quality: the bottleneck holding your AI project back
80% of an AI project is spent preparing data. If your data is incomplete, inconsistent or out of date, no machine learning model will produce reliable results. We explain the six quality criteria, how to diagnose your situation and how to build a data quality programme that works.
Artificial Intelligence
From digital transformation to AI Transformation: the three phases your company must go through to avoid falling behind
Digitalisation, Digital Transformation and AI Transformation: understand which phase you are in, what
Artificial Intelligence
DMA, DSA and NIS2: the other European regulations affecting your digital business that you may not know about
The AI Act is not the only European regulation that affects your digital
