22 Apr 2026
Hotel Mandarin Oriental Ritz, Madrid
AI & Data Summit
Unlocking the Power of Data and AI
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Building Intelligence that Creates Real Value
The IDC AI and Data Summit is the premier event for senior technology and business executives shapingartificial intelligence and data strategies across Spain. Designed for CDOs, Heads of Data, and AI andinnovation leaders, this full-day event delivers strategic insights and practical frameworks aligned with Spain’spriorities: digital sovereignty, ethical and human-centric AI, sustainable innovation, and data governanceexcellence.
Spain is emerging as one of Europe’s most dynamic AI markets, combining strong government leadershipunder the National Artificial Intelligence Strategy (ENIA) with a vibrant ecosystem of startups, enterprises, andresearch institutions. As organizations accelerate AI adoption, they face growing challenges, ensuringcompliance with the EU AI Act, modernizing legacy data infrastructures, and bridging data silos across publicand private sectors.
IDC research shows that 29% of European enterprises cite data quality and availability as their top barrier torealizing AI’s value, while over 90% share data externally but only 30% do so strategically. In Spain, theseinsights underscore the urgency of building trusted data spaces, interoperable systems, and governanceframeworks that enable collaboration while safeguarding ethics, transparency, and national sovereignty.
Through keynotes, executive panels, and peer discussions, participants will gain the insights and tools neededto transform AI and data into pillars of Spain’s next wave of innovation, resilience, and digital competitiveness.
2026 Prediction
By 2027, organizations that adopt tools and processes for AI evaluation and monitoring will have the confidence to deploy AI applications twice as fast as those that don’t.
Main Themes
Data Value Reinvention in the Age of AI
Organizations are shifting from thinking about “using AI” to “leveraging data for AI value,” integrating data maturity practices like cataloging, lineage, and observability to fuel model performance and business impact.
Scaling AI: From Pilot to Enterprise Deployment
Moving beyond experimentation, leaders create robust MLOps pipelines, governance frameworks, and change strategies to embed AI into core operations at scale with sustainability and reliability.
Trust, Transparency and Responsible AI
Embedding fairness, bias mitigation, auditability, and explainability across the AI lifecycle helps build user confidence, regulatory alignment, and long-term trust in intelligent systems.
Data Sovereignty, Governance and Interoperability
Balancing data residency, regulatory constraints, and cross-border flow requires hybrid cloud strategies, shared governance models, and interoperable architectures that meet business needs.
Generative and Agentic AI: The Next Frontie
As generative and agentic models go beyond assistance, leaders focus on guardrails, cost/risk trade-offs, hybrid model design, and alignment with existing AI systems.
People, Culture and AI Readiness
spaiSuccess requires preparing teams with AI literacy, reskilling, cross-functional collaboration, and leadership that navigates resistance and embeds data-driven habits into daily workflows.
2026 Prediction
By 2028, there will be at least 100 companies built predominantly using AI, with fewer than a dozen people and generating $1+ billion.
Venue
Hotel Mandarín Oriental Ritz Madrid
Plaza de la Lealtad, 5, 28014, Madrid
Luxury Belle Époque palace in the city’s famed Golden Triangle of Art. With over a century of history, it epitomises style and elegance.
Speakers
Daniel-Zoe Jimenez
Vice President, Software, SMBs/DNBs and Sustainability, Asia/Pacific
IDC
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Daniel-Zoe Jimenez
Daniel-Zoe Jimenez is Associate Vice President for IDC’s Asia/Pacific region, based in Singapore. He leads the regional Digital Transformation (DX), Future Enterprise and SMB research practices.
Daniel provides strategic advisory services to the C-Suite (CIOs, CDOs, CMOs, CHROs and CFOs) on how to develop and leverage new business, technology (e.g. AI and Analytics, Cloud, Mobility, IoT) and operating models to become more competitive. He delivers workshops and strategic engagements for customers across Asia/Pacific such as assessing maturity, identifying gaps, crafting strategies and technology roadmaps, determining ecosystem readiness, metrics (KPIs), and skills required to drive growth and profitability.
Daniel leads a team of analysts across Asia/Pacific who provide thought leadership research and insights to technology buyers, suppliers and government institutions on the impact that the evolving market changes, and the new and established technologies have on their businesses.
Earlier in IDC, Daniel was the co-lead for the Big Data/Analytics research practice. Today, he also has a leading role in the Asia/Pacific customer experience (CX), marketing, commerce and broader enterprise applications (e.g. ERP, HCM and CRM) research.
Daniel is a frequent speaker at IDC and client events, as well as in seminars in the region; and is often quoted in business and IT publications.
Daniel has more than 20 years of international experience with large organizations worldwide, from consulting to ICT and market research. Prior to joining IDC, Daniel worked for four years with Fujitsu Services handling presales and marketing roles. He also held a global role with Accenture for almost four years in the marketing and presales groups within the Financial Services Group. At Datamonitor’s London office, Daniel held the positions of research manager and business analyst, covering the internet, telco and mobility markets.
Daniel holds a Bachelor in Philosophy degree with focused on Science, Mind, and Language — courses in Psychology and Anthropology from the Autonomous University of Barcelona, Spain.
Event Sessions
Wednesday, April 22 2026 9:45 am | Location:
IDC Keynote Presentation
Ignacio Martínez De Lizarrondo
Data & Analytics Manager
IDC
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Ignacio Martínez De Lizarrondo
Event Sessions
Wednesday, April 22 2026 12:10 pm | Location:
Panel: Scaling AI with Trust: Governance, Compliance, and ROI
Scaling AI beyond pilots requires trust, control, and strong business alignment. This panel brings together CDOs and technology providers to explore how to embed governance, regulatory compliance, and responsibility across the AI lifecycle—without slowing innovation.
Key topics include enterprise-grade MLOps, responsible AI, compliance-by-design (EU AI Act, GDPR, NIS2), risk management, data sovereignty, and translating AI initiatives into measurable ROI and competitive advantage.
Wednesday, April 22 2026 10:35 am | Location:
Panel: Reinventing Data Value to Scale AI
Organizations are moving beyond AI experimentation to reengineering how data creates real value for AI and the business. In this panel, CDOs from large enterprises and technology providers will discuss how to build mature, governed data foundations that enable AI at scale—from cataloging, quality, and lineage to observability, interoperability, and readiness for generative and agentic models.
The discussion will focus on linking these capabilities to business impact, operational sustainability, and enterprise-wide decision-making.
Raquel Moreno Moya
Chief Data Officer
REDEIA
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Raquel Moreno Moya
Event Sessions
Wednesday, April 22 2026 10:35 am | Location:
Panel: Reinventing Data Value to Scale AI
Organizations are moving beyond AI experimentation to reengineering how data creates real value for AI and the business. In this panel, CDOs from large enterprises and technology providers will discuss how to build mature, governed data foundations that enable AI at scale—from cataloging, quality, and lineage to observability, interoperability, and readiness for generative and agentic models.
The discussion will focus on linking these capabilities to business impact, operational sustainability, and enterprise-wide decision-making.
Gustavo De Francisco Sanz
CDAO – Director de Data & Analytics
Mahou San Miguel
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Gustavo De Francisco Sanz
Event Sessions
Wednesday, April 22 2026 10:35 am | Location:
Panel: Reinventing Data Value to Scale AI
Organizations are moving beyond AI experimentation to reengineering how data creates real value for AI and the business. In this panel, CDOs from large enterprises and technology providers will discuss how to build mature, governed data foundations that enable AI at scale—from cataloging, quality, and lineage to observability, interoperability, and readiness for generative and agentic models.
The discussion will focus on linking these capabilities to business impact, operational sustainability, and enterprise-wide decision-making.
Francisco Borja Escalona Arquero
Chief Data Officer (Director de Datos e Inteligencia Artificial)
Carrefour España
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Francisco Borja Escalona Arquero
Knowledge Hub
5 Key Highlights on the European Observability Market in 2025
Observability is rapidly evolving as organizations across Europe embrace digital transformation, cloud adoption, and AI. As IT environments become more complex, traditional monitoring approaches are no longer sufficient.
The Agentic Business Future: Driving Resilience, Sovereignty, and Innovation in EMEA
As organizations navigate an era defined by economic uncertainty, geopolitical shifts, and relentless technological change, one truth stands out: the future belongs to those who can harness AI, automation, and sovereignty to build resilience, drive innovation, and unlock growth.
Shadow AI: How stealth productivity is strangling enterprise AI adoption. And creating a security nightmare…
Remember the good old days when “Shadow IT” was just about rogue Excel spreadsheets and unauthorized Dropbox accounts? But the times they are a-changing! Now we’re dealing with something far more insidious: Shadow AI.
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