Conference Description
Key Takeaways
- Executive summit addressing the gap between AI ambition and organisational data readiness
- Workshop-driven format for approximately 40 senior data, AI and cloud leaders
- Core themes include data governance, agentic AI, cloud strategy and AI governance frameworks
- Held in cooperation with DAMA Deutschland, led by Alexandra Wander from ZEISS
- Designed for CxOs, directors and VPs responsible for enterprise data transformation
Introduction
The Data, AI & Cloud Summit 2026 (DAC2026) convenes senior enterprise leaders to examine one of the most pressing challenges in digital transformation: ensuring organisations possess the data foundations necessary to deliver on artificial intelligence investments. As enterprises move beyond AI experimentation toward production-scale deployment, the summit addresses the strategic and operational barriers that prevent data and AI initiatives from generating measurable business value.
Held in cooperation with DAMA Deutschland and led by Alexandra Wander, Program Manager for Responsible AI at ZEISS, the event brings together approximately 40 decision-makers from data, AI and cloud functions. The intimate format prioritises collaborative problem-solving over passive content consumption, positioning the summit as a working forum rather than a traditional conference.
A Workshop-Driven Executive Forum
DAC2026 distinguishes itself through its emphasis on practical, hands-on engagement. The programme encourages participants to bring challenges from their own organisations, working through real scenarios alongside peers facing similar obstacles. This approach reflects growing recognition that enterprise data and AI transformation requires cross-functional collaboration and shared learning rather than isolated technology deployments.
The format combines keynote presentations and panel discussions with structured workshop sessions. Participants engage directly with topics such as governance leadership, the industrialisation of AI agents, and building technological foundations that support both current operations and future capabilities. Social activities complement the formal programme, facilitating the relationship-building that often proves essential for cross-organisational knowledge exchange.
Bridging AI Ambition and Data Readiness
The summit’s central theme examines the tension between AI expectations and organisational preparedness. Many enterprises have invested significantly in AI capabilities only to discover that fragmented data architectures, inconsistent governance practices and organisational silos limit their ability to scale beyond initial pilots. DAC2026 addresses this reality by treating data readiness as both a technological and organisational challenge.
Workshop sessions explore how data governance can function as an enabler rather than a bureaucratic constraint. This reframing is particularly relevant as regulatory requirements around AI governance intensify and organisations seek frameworks that satisfy compliance obligations while maintaining operational agility. The programme also examines agentic AI, exploring how AI agents are evolving from experimental tools into enterprise products and platforms that require robust data infrastructure and governance oversight.
Balancing Automation and Human Oversight
A recurring theme throughout DAC2026 concerns the interplay between automation and humanisation in enterprise data and AI initiatives. As organisations deploy increasingly autonomous systems, questions around accountability, transparency and human oversight become more pressing. The summit provides a forum for leaders to examine how governance frameworks can accommodate automated decision-making while preserving appropriate human involvement.
This balance carries particular significance for organisations operating in regulated industries or handling sensitive data. The participation of sponsors and partners including ZEISS, DEHN, RWE, CeramTec, Bosch Home Comfort Group and others from manufacturing, energy and technology sectors reflects the cross-industry relevance of these challenges.
Who Should Attend
DAC2026 targets senior executives responsible for data, AI and cloud strategy within large enterprises and public sector organisations. The programme is designed for CxOs, heads of data and AI functions, directors, senior vice presidents and vice presidents who influence technology investment decisions and organisational transformation initiatives. Attendees typically come from IT, data management, digital transformation and business strategy functions, bringing perspectives that span technical implementation and strategic planning.
The summit also welcomes solution providers, offering opportunities for partnership development and engagement with enterprise buyers navigating complex transformation programmes.
Conclusion
For organisations seeking to translate AI investments into sustainable business value, DAC2026 offers a structured environment to examine the governance, technology and leadership dimensions of data-driven transformation. The collaborative format and senior participant profile create conditions for substantive exchange on challenges that rarely yield to isolated solutions.