• 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.

• 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
  

• Tangible business value, data security, and responsible AI practices at the core of Gen AI strategy and roadmap.
• Discover a holistic approach to AI and accelerate innovation through platform development and leveraging partner ecosystems.
• Lighthouse Use Case Examples of applied AI to solve real-life business problems

• 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

• Tactical vs Strategic goal setting. What business impact are you looking for?
• The democratization of AI - from deep code to low code
• Creating value and the societal impact of your journey

• 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.

• Three critical moves driving Electrolux Group’s data and AI transformation
• Real-world insights on strategy, value creation, and collaboration
• Authentic perspectives on the challenges and successes that shape the future of data and AI

• Potentials, Considerations and CyberSecure Development in MedTech
• Realizing AI’s Business Impact: Measuring and Maximising Value
• AI at the Emergency

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• Defining AI's Long-Term Role in Driving Strategic Value and Innovation
• Key Considerations for Building Scalable, Sustainable AI Solutions
• Integrating Ethical and Responsible AI Practices for Future-Ready Organizations

• What is going on on the supply side of AI?
• Why are enterprises not gaining the value?
• What should enterprises do to shape up?
• How can Swedish enterprises and startups collaborate to create Swedish winners in the AI space

• How will AI will transform all industries?
• Why most AI initiatives do not succeed?
• Control the three fundamental aspects of AI: the cost of AI solutions, the energy demand of AI compute and the behaviour of AI in production

• 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

• 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

• What competencies and skills are needed
• Proving Value
• GenAI limitations

• 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?
• Adjusting business strategies in response to AI-driven market shifts
• AI governance. Who is accountable? The matter of privacy - can a machine answer ethical questions?
• Leadership in the AI Era: The role of executives in fostering innovation, ensuring ethical practices, and preparing organizations for an autonomous future.