Starting 8AM CET - Stockholm, Oslo, Copenhagen Time

Starting 9AM EEST - Helsinki Time

​

​

8.30 (EEST)

WE OPEN THE DOORS & WELCOME

​

9.00 

OPENING REMARKS BY OUR MODERATOR

Jesse Kamras

​​

​

9.05 

KEYNOTE

FROM HYPE TO HIGH-IMPACT

Dr. Humera Noor, AI Visionary & Industry Trailblazer & CTO, Digital Munich (DE)

​​​

• What sets real AI success apart from the noise?

• Is your AI investment translating into real impact—or just impressive presentations?

• ​The Human Element: How leadership, culture, and capability-building define whether AI thrives or fails

• What have we learned from 5 years of AI acceleration—and what’s coming next?

​

​

9.40

STRATEGIC AI APPLICATIONS DRIVING INDUSTRY REINVENVENTION TODAY​

​​

• How are emerging AI tools transforming business models across different sectors?

• How are generative AI and industry-specific models being embedded into core business offerings?

​

​​

10.00 

PREDICT, PIVOT, PERFORM - Using AI to Anticipate Market Shifts Before Your Competitors​
 

• How can AI-powered forecasting help your business adapt to market volatility, customer trends, and supply chain disruptions?

• Is your data infrastructure ready for AI-driven agility?

• How top-performing companies are embedding predictive AI into the core of business planning

​​

​​

​

10.20 

NETWORKING BREAK

​​

​

10.50

LLM OPS 101 - What business leaders need to know about keeping GenAI models in check

​​​​​​

• Hallucinations, drift, and rogue prompts: What risks are hiding inside your GenAI use cases — and how do you stay in control?

• What guardrails and governance frameworks do smart companies use to build trust in generative AI systems?

​​​​

​

11.10

APPLIED AI AGENTS: From Hype to Hands-On Productivity​

Seppo Kuula, CEO, Norrin​​

Jouni Heikniemi, Chief Service Officer, Norrin

​​

​

​​

​​​​

11.30

LEAD THE AI TRANSFORMATION WITH BETTER BUSINESS PROCESSES AND DATA

Joona Soratie, VP of Process Analytics & AI, Vuono Group (FI)

​​​

• How do we move beyond pilot projects and truly embed AI into our core business processes? Concrete demos.

• What are the first concrete steps we can take to get there?

• What does data-driven process transformation look like in practice?

• What skills and competencies are needed when building AI-powered process intelligence within the organisation?

​​
 

11.50

LUNCH & NETWORKING BREAK

​

​
 

12.50

KEYNOTE

FROM SCALING AI TO SCALING INTELLIGENCE             

​​​​

As organizations move beyond pilots and automation, the next frontier isn’t just deploying more AI — it’s embedding intelligence into the very fabric of how the business runs.

​

• Building the “intelligence layer” across the enterprise

• Balancing automation, augmentation, and human-in-the-loop thinking

​

​

13.20

CASE

REDUCING THE LOAD: Using AI to Cut Through Tickets and Manual Work

Jaakko Jutila, VP of Customer Support , Basware (FI)​​​

​

• Why Basware chose to target ticketing and repetitive tasks as an AI opportunity

• How the implementation was designed

• What results were achieved — and how success was measured internally

• Key lessons for organizations looking to reduce manual workload through scalable AI

​​​

 

 

13.40​

HOW AI IS POWERING THE SUSTAINABLE ENTERPRISE

​​

• Where is AI delivering the biggest sustainability wins across industries?

• What are the data, tech, and org requirements to build a “sustainable by design” enterprise?

​

 

14.00

NETWORKING BREAK

​

​​​

14.30

KEYNOTE

THE ETHICAL EDGE - Building AI Systems Your Future Stakeholders Will Trust

​

• Trust isn’t built through algorithms — it’s built through accountability

• Will your AI stand the test of time

 

​​​​

​​​

15.00

KEYNOTE

AI IN 2040 - What the Next Generation Will Thank (or Blame) Us For 

 Suvianna Grecu, Founder & Ethical AI Strategist , AI for Change Foundation (FI)

​

• What will the world look like when today’s AI experiments become tomorrow’s foundations? As we scale AI into every corner of business and society, leaders are not just shaping quarterly results — they’re shaping the systems, ethics, and opportunities future generations will inherit.

• What will they say about us — the generation that gave machines their minds?

​

​​

​

15.30 - 15.35

END REMARKS BY OUR MODERATOR

Jesse Kamras