Agorify

Chairman’s Opening Remarks

8:40 AM

9:00 AM

Henrik Göthberg

Founder/CEO, Dairdux

9:00 AM

9:20 AM

Future Outlook Session

KEYNOTE | The Age of Applied Intelligence: Turning Data & AI Into Enterprise Capability

9:20 AM

9:40 AM

KEYNOTE | The Economics of AI and the Changing Cost, Value and Consumption of Enterprise Intelligence

9:45 AM

10:05 AM

Networking Coffee & Peer-to-Peer Meetings

10:05 AM

10:25 AM

10:30 AM

10:40 AM

[M1] - Machine Learning, Agents & Generative AI Stage

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

How Do You Make Agents Accurate Instead of Confident by Engineering an Enterprise Context Layer?

10:40 AM

11:00 AM

[M1] - Machine Learning, Agents & Generative AI Stage

10:40 AM

11:00 AM

How Do You Move Industrial AI From Successful Pilots to Production Across Multiple Factories and Sites?

How Do You Ship Data Faster Without Losing Trust by Engineering Quality, Testing and Observability Into Every Pipeline?

10:40 AM

11:00 AM

How Do You Re-Architect Your Data Platform for AI Without Rebuilding Everything You Already Have?

10:40 AM

11:00 AM

How Do You Redesign Your Data Strategy When AI Becomes One of the Biggest Consumers of Enterprise Data?

10:40 AM

11:00 AM

How Do You Move From Measuring Business Performance to Actually Improving It by Building Analytics Around Decisions?

10:40 AM

11:00 AM

How Do You Turn an AI Strategy Into an Enterprise Operating Model That Can Actually Deliver at Scale?

10:40 AM

11:00 AM

Where Should Enterprise AI Actually Run - Public Cloud, Private Cloud, On-Prem or Hybrid?

10:40 AM

11:00 AM

How Do YouDecide Whatto Automate, Whatto Augment and What Should StayHuman?

10:40 AM

11:00 AM

How Do You Fix theDataQuality Problems That Keep AI and Agents From Reaching Production?

10:40 AM

11:00 AM

Running coding agents at scale at Spotify: How AI is transforming developer productivity

11:10 AM

11:30 AM

Reza Khanzadi

Engineering Manager , Spotify

[M1] - Machine Learning, Agents & Generative AI Stage

11:10 AM

11:30 AM

How Do You Build an Industrial Data Foundation When Critical Data Is Spread Across Machines, Sensors, Historians, MES, ERP and the Cloud?

Why AI-ready data is a leadership problem, not a technology problem: Lessons from TomTom

11:10 AM

11:30 AM

Tara Farzami

Director of Data Science, TomTom

Is the Semantic Layer Becoming the Most Important Infrastructure Layer for Enterprise AI?

11:10 AM

11:30 AM

From data assets to data products: building trust, usability and value at scale

11:10 AM

11:30 AM

Christoffer Kanstrup

Chief Data Officer , Danske Bank

What Happens to BI When Dashboards Are No Longer the Only Way People Consume Analytics?

11:10 AM

11:30 AM

11:10 AM

11:30 AM

Joel Nygårds

Chief Data Officer and Head of AI, Ericsson

How Do You Build Infrastructure That Can Scale From AI Experiments to Thousands of Production Workloads?

11:10 AM

11:30 AM

Scaling Agentic AI Where Trust is Everything – AI Transformation of Pharmaceutical Development

11:10 AM

11:30 AM

Matti Ahlqvist

Executive Director, AI Transformation, AstraZeneca

11:10 AM

11:30 AM

Geoffrey van IJzendoorn-Joshi

Head of Data Management, Møller Mobility Group

What Is Physical AI and How Is It Changing Robotics, Automation and Industrial Operations?

11:40 AM

12:00 PM

What Happens When Agents Start Building and Repairing Data Pipelines Instead of Just Consuming Them?

11:40 AM

12:00 PM

How Do You Build an Enterprise Context Layer That Gives Humans and AI Agents the Same Understanding of Your Business?

11:40 AM

12:00 PM

How Do You Make Governance Enforceable by Turning Policy Documents Into Automated, Machine-Verifiable Controls?

11:40 AM

12:00 PM

How Do You Build a KPI and Metrics Framework That Gives the Entire EnterpriseOne Trusted Version of Performance?

11:40 AM

12:00 PM

How Do You Prove AI ROI Before the CFO Starts Deferring the Next Round of Investment?

11:40 AM

12:00 PM

How Do You Control the Infrastructure and Inference Cost of Enterprise AI Before Usage Explodes?

11:40 AM

12:00 PM

How Do You Move FromAI-AssistedTasks to End-to-EndIntelligent AutomationWithout AutomatingBrokenProcesses?

11:40 AM

12:00 PM

Do AI Agents Need Their Own Memory Store and What Should Actually Be Remembered, Retrieved or Forgotten?

11:40 AM

12:00 PM

How Do You Expose Enterprise Tools andData to Agents Safely and at Scale by Putting MCP Into Production?

12:10 PM

12:30 PM

[M1] - Machine Learning, Agents & Generative AI Stage

12:10 PM

12:30 PM

How Do You Use AI to Optimize Production in Real Time Without Disrupting the Processes Already Running the Factory?

How Do You Make Documents, Images, Audio and Other Unstructured Data Production-Ready for Enterprise AI?

12:10 PM

12:30 PM

What Should Your Data Platform Look Like When AI Agents Become First-Class Consumers and Actors Across Enterprise Data?

12:10 PM

12:30 PM

How Do You Control What Agents Can See and Do by Designing Data Access, Purpose Limitation and Audit for Autonomous Systems?

12:10 PM

12:30 PM

How Do You Make Self-Service Analytics Actually Self-Service Without Creating Thousands of Conflicting Answers?

12:10 PM

12:30 PM

When Should You Use a Frontier Model, Smaller Model or Multiple Models by Routing Every Workload to the Right Cost and Performance Tier?

12:10 PM

12:30 PM

What Changes in Your Infrastructure When AI Agents Run Continuously Instead of Waiting for Human Prompts?

12:10 PM

12:30 PM

How Do YouUse Process Intelligence to Identify What Should Be Automated, Redesigned or Eliminated?

12:10 PM

12:30 PM

Vector,Graph orHybrid Search:How Do You Choose the Right Retrieval Architecture for Enterprise AI?

12:10 PM

12:30 PM

KEYNOTE | The Agentic Enterprise and How AI That Can Reason, Decide and Act Is Changing the Way We Build and Run Business

12:35 PM

12:55 PM

Evaluating and Maintaining Large AI-Coded Systems

12:50 PM

1:40 PM

Networking Lunch

1:40 PM

2:00 PM

Dmitry Buykin

Principal AI Engineer, A.P. Moller - Maersk

[M1] - Machine Learning, Agents & Generative AI Stage

1:40 PM

2:00 PM

How Do You Deploy Industrial AI at the Edge When Latency, Connectivity, Cost or Sovereignty Make Cloud-Only AI Impractical?

How Do You Stop Upstream Changes Breaking Everything Downstream by Making Data Contracts Work at Enterprise Scale?

1:40 PM

2:00 PM

Sprinkle It with AI and It Will Fail: Building Shared Meaning Before Scaling AI

1:40 PM

2:00 PM

Søren Meincke Persson

Director, Data Platform & Governance, Norlys

Who Owns the Data? Turning Accountability From a Governance Diagram Into Something That Actually Works Across the Enterprise

1:40 PM

2:00 PM

Karin Engman

Head of Group Information Management, Saab AB

Implication Intelligence: From Insight Overload to Decision Clarity

1:40 PM

2:00 PM

Einar Hafberg

Head of Data Integrations, Gjensidige

From AI Use Cases to Enterprise Capability: What It Takes to Scale AI in an Industrial Company

1:40 PM

2:00 PM

Anni Rasinen

Director, Business AI, Metsä Group

Lessons from Running RL Post-Training Infrastructure

1:40 PM

2:00 PM

Aleksandr Timashov

Research Engineer, Mistral

Innovation at the speed of AI

1:40 PM

2:00 PM

Daniel Sandberg

Head of Innovation Lab, Securitas

1:40 PM

2:00 PM

Katsimanis Thodoris

Technology Manager – Operational & Distributed Database Systems, KaizenGaming

When Do You Beat Frontier Models on Cost, Latency and Accuracy by Fine-Tuning Small,Domain-Specific Models Instead of Prompting?

2:10 PM

2:30 PM

[M1] - Machine Learning, Agents & Generative AI Stage

2:10 PM

2:30 PM

How Do You Run Physical AI in Real Time by Bringing Perception, Reasoning and Decision-Making to the Edge?

Can Data Quality Gates in CI/CD Stop Bad Data Before It Ever Reaches Production?

2:10 PM

2:30 PM

Which Data Architecture Will Still Matter in Five Years and Which Decisions Are You About to Regret?

2:10 PM

2:30 PM

Who Owns the Data? Turning Accountability From a Governance Diagram Into Something That Actually Works Across the Enterprise

2:10 PM

2:30 PM

How Do You Forecast Demand, Revenue and Risk When Historical Patterns Keep Breaking?

2:10 PM

2:30 PM

How Much Autonomy Should You Give an AI Agent by Matching Governance to the Risk of What It Can Actually Do?

2:10 PM

2:30 PM

How Do You Get More From Expensive GPUs by Increasing Utilization Across Training, Fine-Tuning and Inference Workloads?

2:10 PM

2:30 PM

How Do You Build Agentic Workflows That Coordinate Across Applications, Data and Business Processes?

2:10 PM

2:30 PM

Is Postgres Becoming the Default Database for AI Applications—or Are We Asking It to Do Too Much?

2:10 PM

2:30 PM

How Do You Scale Agentic Coding Without Slowing Engineering Down by Governing AI Coding Agents Properly?

2:40 PM

3:00 PM

[M1] - Machine Learning, Agents & Generative AI Stage

2:40 PM

3:00 PM

How Do You Turn Industrial Data Into Real-Time Decisions by Combining AI With Sensor, Machine and Operational Data?

How Do You Stop Data Engineers From Firefighting by Detecting Pipeline Failures Before Users and Agents Find Them?

2:40 PM

3:00 PM

Can Transactional and Analytical Systems Finally Converge to Give AI Real-Time Access Without Endless Data Copies?

2:40 PM

3:00 PM

How Do You Make Federated Governance Work by Giving Domains Autonomy Without Losing Enterprise Consistency?

2:40 PM

3:00 PM

Scaling semantic intelligence using Google DeepMind’s OCTO

2:40 PM

3:00 PM

Evalyne Muiruri

Staff Data Scientist , Google DeepMind

What Comes After Human-in-the-Loop When Thousands of Agent Decisions Make Manual Approval Impossible?

2:40 PM

3:00 PM

When Should You Buy AI Compute, Rent It in the Cloud or Consume It as a Service?

2:40 PM

3:00 PM

How Do You Orchestrate Humans, AI Agents and Traditional Automation Across One End-to-End Process?

2:40 PM

3:00 PM

How Do You Make Unstructured Enterprise Data Ready for Retrieval, Reasoning and Agentic AI?

2:40 PM

3:00 PM

Networking Coffee & Peer-to-Peer Meetings

3:10 PM

3:40 PM

3:40 PM

4:05 PM

Technology in practice | Round 1

4:10 PM

4:30 PM

Title: Agentic RL That Scales: Lessons from Reward Shaping and Environment Design

Alborz Geramifard

Distinguished Scientist , LinkedIn

[M1] - Machine Learning, Agents & Generative AI Stage

4:10 PM

4:30 PM

What Happens When AI Agents Move Beyond Software and Start Interacting With Machines, Robots and Industrial Control Systems?

When Does Real-Time Data Actually Create Business Value—and When Is Batch Still the Better Engineering Decision?

4:10 PM

4:30 PM

From Fragmented Data Estate to AI-Ready Lakehouse: Lessons from a Global Manufacturer

4:10 PM

4:30 PM

Adriano Di Toppa

Enterprise Data Manager, Kemin Industries

From Available to Actionable: Data Modeling in the AI Era

4:10 PM

4:30 PM

Rebecca Wiborg Seyfarth

Head of Data & Insights , Vipps

Finally, Data that Talks Back

4:10 PM

4:30 PM

Marion løken

VP Data and Insights , Strawberry

4:10 PM

4:30 PM

Susanne Blanke

Vice President of AI Strategy & Transformation, Husqvarna Group

How Do You Build an Inference Infrastructure Strategy When Serving Models Becomes a Bigger Workload Than Training Them?

4:10 PM

4:30 PM

Raising AI: Culture, Maturity, Systems

4:10 PM

4:30 PM

Anastasiia Stefanska

Snowflake Data Superhero, Co-founder of Women on Snowflake, Analytics Engineer, Mentimeter, Ex-TUI

Alina Vishniakova

Head of Technology Analytics, TUI Group

Why IsData Modelling Back—and What Changes When Both Humans and AI Need to Understand the Model?

4:10 PM

4:30 PM

How Do You Stop Wrong Answers Reaching Stakeholders by Verifying and Grounding AI-Generated Responses?

4:40 PM

5:00 PM

[M1] - Machine Learning, Agents & Generative AI Stage

4:40 PM

5:00 PM

From Predictive to Prescriptive Maintenance: How Do You Move From Predicting Failure to Deciding What Action to Take?

How Do You Scale From a Few Data Products to Hundreds Without Creating an Ownership, Dependency and Orchestration Nightmare?

4:40 PM

5:00 PM

How Do You Escape Platform Lock-In Without Giving Up the Productivity of an Integrated Data and AI Stack?

4:40 PM

5:00 PM

Semantic Layer? Bin It. Let the LLM Write SQL

4:40 PM

5:00 PM

Camilla Westad Kolsrud

Nordic Head of Data & Insight , SATS

Linn Jordet Nygaard

Nordic Data Scinetist , SATS

When Does Real-Time Analytics Improve a Decision Enough to Justify the Cost and Complexity?

4:40 PM

5:00 PM

4:40 PM

5:00 PM

Rawan Hassunah

Director of Data Science and AI , BRP

How Do You Scale Storage for AI When Structured Data, Documents, Images, Video and Model Data All Compete forPerformance?

4:40 PM

5:00 PM

Beyond Hours Saved: How to Measure the Real Impact of AI

4:40 PM

5:00 PM

Aly Metwaly

AI Transformation Manager , Nokia

How Do You Reinvent Master Data Management When AI Agents Need a Trusted View of Customers, Products and Suppliers?

4:40 PM

5:00 PM

KEYNOTE | The AI-Enabled Enterprise and the Redesign of Work, Processes and Operating Models Around Human and Machine Intelligence

5:10 PM

5:30 PM

Chairman’s Closing Remarks in the Plenum Area

5:35 PM

5:55 PM

Henrik Göthberg

Founder/CEO, Dairdux