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:
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.
AI adoption is accelerating, but is your data ready? Tech leaders reveal 3 realities, and only 29% are "very well prepared."
Discover why defining “failure criteria” is essential for successful AI initiatives. Build an AI strategy that prioritizes long-term value.
Discover the growth vs. efficiency lens, how to define ROI, and the simple steps to marry your AI strategy to your core business goals.
Analyze the build vs. buy dilemma in AI with the Zartis AI Maturity Framework. Learn the strategic sequence: buy to validate, hybrid to extend, and build to differentiate.
Explore 5 real-world lessons on strategy, validation, change management, and maintaining momentum to move AI from pilot to production
AI Transformation: In this Zartis leadership guide, learn how trust, transparency & psychological safety — not algorithms — determine success.
Synthetic data generation produces artificial data that mirrors the statistical properties of real datasets to simulate complex scenarios.
Let's discuss how you can unlock the full potential of AI