Turning AI Strategy into Business Impact at Scale

02/12/2025

10:00-16:30

Sergel Hub Stockholm

December 2nd - Hybrid Event

Agenda

Theme

AI-Driven Reinvention: Strategies for Business Impact

10.00

Opening Remarks

DEMONSTRATING THE VALUE OF AI. QUANTIFYING AI CONTRIBUTIONS

Understanding AI value proposition - introduction to frameworks for defining the value AI brings to various business processes
Techniques for measuring AI's impact, both qualitatively and quantitatively
Tools and software for monitoring and reporting AI's contributions to business success

10.25

WHAT MAKES A GOOD AI STRATEGY?

The blueprint for AI success, balancing business priorities, innovation and technology
Assessing potential returns that AI could deliver for your business
Key components and actionable steps for attaining measurable success and results in a AI driven business

10.45

MASTERING THE GLOBAL AI REGULATORY LANDSCAPE. STRIKING A BALANCE BETWEEN REGULATION, INNOVATION AND GOVERNANCE

Analysis of recent regulatory developments and their implications for businesses worldwide, both globally and regionally
Can regulation like the EU AI Act stifle innovation? Explore the intricate balance between fostering responsible AI development and reaping its economic and social benefits
Strategies for navigating diverse regulatory landscapes while minimizing societal risks

11.00

DATA DIVERSITY AND OTHER MEANS TO MITIGATE AI HALLUCINATION AND BIAS

Eliminating data silos and unlock unstructured data to increase access to internal data
Expanding external data sources through collaboration and acquisition
Ensuring appropriate data governance to unlock even the most sensitive data

11.20

AI STRATEGIES FOR DELIVERING TRANSFORMATIVE BUSINESS IMPACT

Actionable strategies for leveraging AI to maintain a competitive advantage in an evolving landscape
Frameworks and techniques for defining, measuring, and reporting AI’s contributions to business processes
Insights on prioritizing generative AI initiatives and future-proofing AI strategies

11.40

GENERATIVE AI IS NOT YOUR AVERAGE TECHNOLOGY REVOLUTION

The monumental shift GenAI brings along has the potential to impact materially every aspect of a company
By connecting GenAI to other technology you can drive growth and productivity in a way that resets performance frontiers
Accelerate reinvention today and lead tomorrow! You have the power to shape the outcomes of a more innovative future

12.00-13.00

Lunch

Theme

Unlocking Value: The Transformative Power of AI

13.00

NAVIGATING THE NEW FRONTIERS. FUTURE PROOFING YOUR AI INITIATIVES.

Strategies to maintain a competitive edge in the rapidly evolving AI domain
Future proofing your AI initiatives. Predicting and adapting to the AI evolution
When should we favor Gen AI initiatives?

13.20

DO THE OPPORTUNITIES OUTWEIGH THE RISKS? HARNESSING THE POWER OF TECHNOLOGY; AUTOMATION AND AI.

Empowering Machine Learning (ML) and Robotic Process Automation (RPA) to enhance and expedite business decision-making
Beyond efficiency: Leveraging AI for predicting future trends and innovative outcomes
AI's role in reducing errors, enhancing personalization, and driving innovation

13.40

REALIZING AI’s BUSINESS IMPACT: MEASURING AND MAXIMIZING VALUE

Exploring frameworks to identify and define the impact of AI across core business functions
Approaches for assessing AI performance through qualitative and quantitative metrics
Leveraging tools and platforms to track, analyze, and showcase AI's role in achieving strategic goals

13.55

IS YOUR CURRENT BUSINESS MODEL FIT FOR THE PURPOSE? STRATEGIC ADAPTABILITY. MODIFYING STRATEGIC DIRECTION CONSIDERING MARKET SHIFTS AND DISRUPTIONS

Adjusting business strategies in response to AI-driven market shifts
The role of executives in fostering ethical AI and innovation
The role of AI in creating new revenue streams and business models

14.10

ETHICAL AI - A STRATEGIC FRAMEWORK

AI governance. Who is accountable? The matter of privacy - can a machine answer ethical questions?
Core ethical design principles to guide responsible LLM development
Leadership in the AI Era: The role of executives in emphasizing responsibility, trustworthiness, and safety in AI applications

14.30-15.00

Networking Break

Theme

From Pilot to Scale: The Road to AI Maturity and Competitive Edge

15.00

CASE:
CULTURE MEETS CODE: MERGING CUSTOMER CENTRICITY WTH DATA-DRIVEN INTELLIGENCE

How AI is reshaping organizational culture—and how to grow human capital in an increasingly automated environment
Striking the balance between deep customer understanding and AI-powered decision-making
What happens with customer experience when humans are not responsible for decisions?

15.20

HUMAN - AI COLLABORATION: A successful AI model is only half the journey

How can we overcome employee fears and misconceptions about AI and foster trust and a culture of acceptance?
AI-powered customer service and preparing the workforce for an AI-augmented future - the role of AI and human agents in service centers
Use data and AI to understand and predict customer demand and behavior, to identify new market segments and new revenue streams

15.40

AI SCALABILITY: From pilot to enterprise-wide implementation

Setting KPIs and benchmarks based on pilot initiatives
Building scalable foundations. Overcoming scale-up challenges
Engaging people and processes to align with new AI-powered workflows and cultural shifts

15.55

SECURING THE FOUNDATION: AI Infrastructure, Resilience & Risk Management

How to design scalable and secure infrastructure to support enterprise-wide AI deployment
Managing cybersecurity risks and data privacy in AI pipelines, especially with large-scale, cloud-based models
Ensuring infrastructure agility to handle model drift, data sensitivity, and evolving regulatory demands

16.10

WHAT’S KEEPING YOU UP AT NIGHT? BUILDING STRATEGIC VALUE OF AI IN A COMPETITIVE LANDSCAPE

Defining the Problem: Are you solving the right challenges with AI in a fast-paced and disruptive business landscape
Prepare for an autonomous future. But to what degree can you leave your business on autopilot?
What does it take to make your organization AI-ready? How do you make nuanced AI-driven decisions and keep processes optimized

16.30

End of Day

17.00

Afterwork - Sergel Hub