– How has your organisation used AI or analytics to unlock new understanding of customer behaviour across different digital touchpoints?
– How do you approach personalisation in your organisation, ensuring compliance and customer trust as cookies are becoming obsolete?
– Can you share a practical example where predictive analytics or generative AI made a measurable impact on conversion or retention in your business?

– What limitations of dashboards and sample-based analysis are insight agents designed to overcome when working with customer and employee feedback?
– How independent are today’s insight agents in practice, and which feedback analysis tasks most clearly expose their current limits?
– What ecosystem of data, tools, and human oversight is required for insight agents to operate effectively and responsibly at scale?

– What does it take to reveal bad data and hidden process inefficiencies?
– Are you ready to see how your data tells the real story of your processes?
– What can a best‑practice dashboard show about the true performance of your processes and data?

– What are the implications of generative AI on privacy and compliance? How do we balance speed and security?
– How can we navigate a more complex geopolitical climate when considering our vendor options?

– Transform data from cost centre to competitive advantage
– Vattenfall case study: Building data empowerment at scale
– The proof: CX insights that delivered conversion lift

– How can AI and MLOps platforms enable real-time customer insights and power effective next-best-action strategies?
– How do you ensure consumer data protection and decision transparency in your AI projects?
– Which challenges and pitfalls do you experience in your day-to-day work while trying to operationalise AI responsibly in cross team contexts?

– Examine how organisations implement federated data governance while maintaining data quality and integrity.
– Align governance frameworks with agile analytics, CRM, and BI teams.
– Build a culture encouraging ownership, accountability, and process improvement across domains.

– Reimagine web analytics and social data collection without third-party cookies.
– Integrate first-party CRM data, consent-based identifiers, and zero-party data to drive effective targeting.
– Explore how social media customer service and interaction data can enrich customer profiles and improve satisfaction.

– Reframe data monetisation beyond external data sales, focusing on internal value creation.
– Explore data as an internal product.
– Define what a customer data ecosystem really is including a maturity framework for self-assessment.
– How privacy-first, regulation-led environments can become a competitive advantage.

– How can organisations embed customer-centric thinking into everyday decisions beyond dashboards and reports?
– What leadership practices and operating models best align teams around shared customer outcomes?
– How do companies balance data-driven efficiency with empathy and human judgment in customer strategy?

– How can leadership genuinely champion data-driven decision-making, especially across functions like marketing, product, and customer experience?
– What does it take to build real data literacy across an organisation, beyond dashboards and training sessions?
– How do you design KPIs and incentives so teams optimise for customer outcomes?