AI Summit at a glance
The first Zartis AI Summit held place on November 17th, in Madrid, Spain.
The goal of the event was to explore the various applications of AI within technology companies by bringing together technology leaders and experts in the field.
Interesting Keynotes
Keynote - Overview of AI Regulatory Landscape
Keynote speaker: Dr Florian Ostmann, Head of AI Governance & Regulatory Innovation, The Alan Turing Institute
Keynote - Delivering Business value with AI
Keynote speaker: Federico Castanedo, Academic Director and Professor at IE University
Interactive Panel Discussions
Panel - AI & Regulatory Considerations
Karl Aherne, COO at Fexco
David Boundy, COO at Innowatts
Darren Hayes, VP of Engineering at valid8Me
Phil Thomas, Tech Head of Digital at Zartis
Panel - AI-Driven Operational Efficiency
Jim Carr, Director of Engineering at CarTrawler
Ciaran Bradley, CTO at EclecticIQ
Angel Benito, CTO at Zartis
Tech Showcases
Zartis AI Committee - Lessons Learned
Insights shared by the Zartis AI Committee on AI tools selection, GenAI development, and implementation.
Insights on:
- Setting up an AI strategy
- AI-powered programming tools
- AI-powered QA and testing tools
- AI-powered DevOps tools
AI insights from the summit:
Explore how digital banks scale by mastering the build-vs-buy dilemma, and using AI to drive operational efficiency.
Discover how AI enhances manual software testing by uncovering hidden corner cases, analysing patterns, and improving test coverage.
Discover our empirical research on stopword removal cutting LLM input token costs by 30% while preserving up to 96% quality in RAG.
A practical guide for modern business leaders on how to build, structure, and scale their first AI team with in-house and external resources.
Discover how leading healthcare and regulatory firms responsibly adopt AI by prioritizing safety, human oversight, and verifiable trust in high-stakes industries.
Discover how engineering determinism transforms LLMs from unpredictable generators into reliable, production-ready systems.
How do different neural systems trained on different modalitiesconverge toward similar internal representations? Discover the math behind.
Dive into Padraig Coffey's keynote on navigating an AI-driven software career and discover the vital skills to future-proof your job.
Let's deconstruct the myth of “randomness” in LLMs to get a technically grounded view - demonstrating engineered determinism.
A practical industry report on context engineering—combining retrieval, memory, tools, and prompt design to scale and govern LLM and agent systems.
Let's discuss how you can unlock the full potential of AI