Driving Cost Efficiency Through Strategic Procurement and Systematic Spend Management
VENUE
Nobis Hotell
•
LOCATION
Stockholm
,
Sweden
•
AUDIENCECFO
DATE:
28. April 2026
TIME:
08:00 - 15:15
VENUE:
Nobis Hotel
LOCATION:
Norrmalmstorg 2-4, 111 46 Stockholm
For many organizations, the biggest challenge with AI is not the models themselves, but the data foundation that supports them. Building scalable AI capabilities requires more than collecting large amounts of data — it requires structured data architectures, strong governance, and secure access to information across the enterprise. In this session, we explore how organizations are building the data platforms needed to support modern AI workloads while maintaining visibility, security, and control. As AI adoption accelerates, CIOs must ensure that data pipelines remain protected, compliant, and resilient, particularly as data moves across cloud environments, applications, and users. The discussion will highlight how data governance, secure data access, and platform architecture come together to enable AI innovation without increasing organizational risk. It offers practical insights into how enterprises can build a data foundation that not only powers AI initiatives, but also strengthens security posture, supports compliance requirements, and ensures trusted data can be used safely across the business.
Explore the sessions designed to spark meaningful conversations and connections.
Building a Data Foundation for AI Workloads
Structuring Data for AI at Scale
Security, Governance & Risk in AI Data Pipelines
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