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CxO Data 2026

The power of data — guided by facts, never by feelings.

Product

CxO Data 2026

Time

6.10.2027

hybrid

HYPE Areena, Espoo

Product

CxO Data 2026

Time

6.10.2027

hybrid

HYPE Areena, Espoo

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.

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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.

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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.

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Puhujat 2026

Elin Hauge

Elin Hauge

Data & AI Strategist, Business Advisor, Board Chair & Member (NO)

Tarun Sharma

Tarun Sharma

Partner & COO Nokia Ventures

Paul Dongha

Paul Dongha

Head of Responsible AI & AI Strategy, NatWest Group, Ex Co-Chair of Ethics Board, C-suite advisor, Harvard Business School (UK)

Miika Murremäki; Professio

Miika Murremäki

VP, Smart Solutions, ANDRITZ

Matti Aksela, Professio

Matti Aksela

VP – AI and Enterprise Intelligence Platforms, Outokumpu

Kristian Luoma, Professio

Kristian Luoma

Co-founder, In Parallel

Mikko Koho, Professio

Mikko Koho

Principal Data Scientist, PhD in Ontologies & Semantics, Vuono Group

Mikko Kutvonen

Mikko Kutvonen

Business Unit Director, Data and Analytics, Innofactor

Lasse Lautsuo, Professio

Lasse Lautsuo

Chief Marketing Officer, leads the MarComms, Sales Development & Partnerships team, Innofactor

Janne Sipilä, Professio

Janne Sipilä

Business Development Director, twoday

Jesse Kamras, Professio

Jesse Kamras

Journalist, News Anchor, MTV

    • Day 1

      We open the doors – Welcome!

      Opening Remarks by Our Moderator

      Jesse Kamras
      Jesse Kamras Journalist, News Anchor, MTV
      Janne Sipilä
      Janne Sipilä Business Development Director, twoday
      Keynote

      Future of leadership: the power of Data & AI

      Elin Hauge
      Elin Hauge Data & AI Strategist, Business Advisor, Board Chair & Member (NO)
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      • 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.
      Keynote

      AI: Not Just a Technology, but a Venture Creation & Growth Engine

      Tarun Sharma
      Tarun Sharma Partner & COO Nokia Ventures
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      • AI is rapidly changing not only how companies operate, but how new businesses can be discovered and built. The combination of AI, data, startups and venture building is creating a new playbook for corporate growth — enabling companies to identify opportunities at scale, discover and collaborate with startups, rapidly prototype and validate ideas, and turn promising opportunities into investible ventures.
      • In this keynote, Tarun Sharma explores how companies can move beyond using AI for efficiency and productivity, and use it as an engine for innovation and growth. Drawing on his experience across venture building, startup collaboration and corporate innovation, he shares practical approaches for using AI to accelerate the journey.

      Networking Break

      The Semantic Layer Decides If Agentic AI Scales

      Mikko  Koho
      Mikko Koho Principal Data Scientist, PhD in Ontologies & Semantics, Vuono Group
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      • Why agents fail on inconsistent definitions, not on model quality
      • How undocumented organisational knowledge becomes machine-readable, traceable and reusable
      • What changes when your business rules live in your data layer instead of inside every agent
      • Where the cost lands today: churn missed, compliance reconciled by hand

      Closing the Value Gap: Turning Data into Operational Impact with Microsoft Fabric Agents

      Mikko Kutvonen
      Mikko Kutvonen Data-analytiikan liiketoiminnan johtaja, Innofactor
      Lasse Lautsuo
      Lasse Lautsuo Chief Marketing Officer, leads the MarComms, Sales Development & Partnerships team, Innofactor
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      • Why the value of data and AI investments does not always translate into daily decision-making and operational impact
      • How governed enterprise data can support faster insights and better-informed decisions
      • Practical examples of Microsoft Fabric Agents in operational, sales, and marketing scenarios
      • How existing data, security and governance structures can enable more cost-efficient AI adoption and reduce duplicated solutions

      Lunch Break & Networking

      Making More of Your AI Transformation: The Case for Shared Context

      Kristian  Luoma
      Kristian Luoma Co-founder, In Parallel
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      • Why most AI initiatives underdeliver — the bottleneck is rarely the models, it’s fragmented organizational context
      • The coordination tax: what siloed information costs in decision speed, resilience, and quality
      • What “shared context” means in practice — goals, decisions, and plans that both people and AI can act on
      • A practical playbook: turning AI pilots into compounding advantage across the organization
      Keynote

      From Millions of Data Points to the Autonomous Mill: How Data, Automation, and AI Are Reshaping Industrial Operations

      Miika Murremäki
      Miika Murremäki VP, Smart Solutions, ANDRITZ
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      • The mill as a living data ecosystem
      • The scale of industrial data
      • Why collect all this data?
      • The evolution of mill operations
      • Closing the remaining automation gaps
      • AI as the accelerator

      Networking Break

      Keynote

      When Perfect Data Can Wait: a Case Study in Distributed Enterprise Intelligence

      Matti Aksela
      Matti Aksela VP – AI and Enterprise Intelligence Platforms, Outokumpu
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      • Applying rigor where it matters, without treating it as one-size-fits-all
      • Unlocking value from existing data before full harmonization
      • Connecting intelligent data assets instead of centralizing everything
      Closing Keynote at AI Business Strategy Stage

      When Machines Make Decisions Who Holds The Power And Who Holds The Risk

      Paul Dongha
      Paul Dongha Head of Responsible AI & AI Strategy, NatWest Group, Ex Co-Chair of Ethics Board, C-suite advisor, Harvard Business School (UK)
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      • 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.
        • What is Responsible AI & Why do we need it?
        • In a world of AI Agents, Responsible AI is no longer a compliance function but a strategic discipline
        • How to Implement Responsible AI in your Organization
        • AI Strategy: What Boards and executives must rethink before 2027

      Closing Remarks by Our Moderator

      Music & Mingle

      Event Ends

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