The power of data — guided by facts, never by feelings.
Transform your most valuable asset—data—into meaningful business growth.
Transform your most valuable asset—data—into meaningful business growth.
The CxO Data gathering brings together forward-thinking leaders and innovators across industries to explore how data can be refined, governed, and elevated into a true driver of competitive advantage. From unlocking its full potential to shaping strategies powered by data and AI, the focus remains on clarity, precision, and impact.
Step beyond intuition. Embrace the certainty of facts. Seize the opportunity to stay ahead—and rise to the forefront of global competition.
The next chapter of data
Before AI-Native, You Need Data-Native
Building the organisational, cultural, and technical foundations that make AI scalable—ensuring data is trusted, governed, accessible, and ready for enterprise-wide intelligence.
Executive Accountability Begins with Data
Making data a boardroom and leadership priority—clarifying ownership, governance, ethics, and decision-making responsibilities in an AI-driven business environment.
Data Infrastructure Is Competitive Power
Transforming data architecture, platforms, and integrations into strategic advantage—enabling speed, resilience, innovation, and smarter value creation across the business.
Puhujat 2026
Elin Hauge
Data & AI Strategist, Business Advisor, Board Chair & Member (NO)
Tarun Sharma
Partner & COO Nokia Ventures
Paul Dongha
Head of Responsible AI and AI Strategy
Janne Sipilä
Business Development Director, twoday
Jesse Kamras FI
toimittaja, uutisankkuri, MTV
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Day 1
We open the doors – Welcome!
Opening Remarks by Our Moderator
Jesse Kamras toimittaja, uutisankkuri, MTVadd_2 closeKeynoteFuture of leadership: the power of Data & AI
Elin Hauge Data & AI Strategist, Business Advisor, Board Chair & Member (NO)- Technology is reshaping how organisations compete, innovate, and make decisions. In this keynote, Elin explores how leaders can embed data and AI into corporate strategy and operations while safeguarding human judgment, culture, and long-term value creation.
- Cutting through the hype, the session clarifies how to align data and AI investments with real business priorities and measurable impact. As adoption accelerates, trust, accountability, and governance become decisive. Elin shows how leadership must evolve to balance innovation with responsibility and build transparent, ethical, and resilient organisations.
add_2 closeKeynoteData Accountability Is Now a Named Executive Responsibility
- Why “shared responsibility” no longer protects anyone and who ultimately carries the risk when AI makes consequential decisions?
- Who signs off when algorithms influence revenue, risk exposure or customer outcomes and is that mandate formally defined?
- What operational accountability looks like when AI is embedded into workflows
add_2 closeNetworking Break
- Why “shared responsibility” no longer protects anyone and who ultimately carries the risk when AI makes consequential decisions?
- Who signs off when algorithms influence revenue, risk exposure or customer outcomes and is that mandate formally defined?
- What operational accountability looks like when AI is embedded into workflows
add_2 closeKeynoteAI Is Moving Fast — But Data Maturity Sets the Limit
- Why AI pilots succeed even when structural data maturity is low
- What breaks when scaling AI without coherent data foundations
- How data quality, ownership and architecture determine AI reliability
- Where AI ambition exceeds structural readiness
add_2 closeKeynoteAutonomous AI Systems Expose Structural Weakness
- Why agents magnify inconsistencies in your domain models
- How unclear data ownership becomes operational instability
- What structural discipline is required before autonomy can scale
- Why AI reliability is a data architecture question
Lunch Break & Networking
add_2 closeKeynoteMost Enterprises Don’t Need More Data — They Need Less
- Why more data does not automatically mean better AI
- How data sprawl increases model instability and operational risk
- What disciplined data rationalisation enables in AI performance
- Who decides what data is strategically essential
add_2 closeKeynoteFrom Project Funding to Structural Data Infrastructure
- Why AI programmes fail when underlying data capabilities remain project-based
- How shared data infrastructure enables repeatable AI deployment
- What long-term capability looks like beyond isolated AI use cases
- How to fund the foundation rather than the experiment
Networking Break
add_2 closeKeynoteThe Three Data Decisions That Will Define Your AI Future
- What must be structurally aligned before AI investment accelerates
- Where accountability for AI-enabling data truly sits
- What foundational capabilities require commitment before scaling further
add_2 closeKeynoteWhen Machines Make Decisions Who Holds The Power And Who Holds The Risk
Paul Dongha Head of Responsible AI and AI Strategy- In an era where agents execute transactions, models influence credit decisions, and algorithms shape strategic outcomes, power inside the enterprise is being redefined. Accountability, governance and economic control must evolve at the same pace as automation.
- How autonomous systems reshape decision rights and enterprise power structures
- Why responsible AI is no longer a compliance layer but a strategic discipline
- The economic consequences of unmanaged AI risk
- What boards and executives must rethink before 2027
Closing Remarks by Our Moderator
A Shared experience, elevated.
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