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:
Why do RAG demos fail in production? Learn about these 5 critical failure modes and build an enterprise-grade RAG system.
Move beyond the hype. Discover why technical due diligence for AI acquisitions must focus on data provenance, model reproducibility, and MLOps maturity rather than just code. Learn how to identify "red flags" that impact valuation and post-close integration.
Reliable AI agents aren't built by preventing failure — they're built by designing for it. Explore the guardrails and architecture patterns that make agentic AI production-ready.
"Mostly works" isn't good enough when AI errors affect lives. Explore the risks of bias, automation, and weak governance in care AI systems.
Ensure regulatory compliance and operational safety by building AI in banking audit trails as a core architecture, not an afterthought. Learn how to integrate data lineage, model versioning, and explainability to mitigate risk and meet evolving financial standards.
Discover why 95% of AI initiatives fail and how to succeed. Learn why AI demands business transformation, not just technology adoption, with frameworks for strategic integration, operating models, and measurable outcomes.
Fund administrators rushing to adopt AI face a critical bottleneck: fragmented systems and manual processes. Digital transformation must come first.
Asset servicers in Ireland and Luxembourg face rising costs and fee compression. Discover how GenAI and intelligent automation can reduce operating expenses by 25-50%, streamline AML/KYC, and eliminate manual NAV calculation bottlenecks.
Moving RAG from demo to production? Discover why retrieval-augmented generation fails, and how to engineer reliable AI systems.
Most AI initiatives fail to scale because companies lack a clear AI Operating Model. Learn what it is, and why AI adoption fails without it.
Let's discuss how you can unlock the full potential of AI