As artificial intelligence moves from speculative pilot projects to core business operations, organizations face a dual challenge: identifying high-impact operational use cases while building the scalable data and compute architecture required to support them.
These presentations from the Data Innovation Summit highlight how industry leaders ranging from industrial manufacturing and energy distribution to global retail and platform providers, are executing AI transformations across the enterprise stack.
1. Driving Business-Wide Transformation (Metso)
Speaker: Janne Liuttu, Metso
Industrial manufacturer Metso provides a blueprint for embedding AI into core business workflows. Rather than treating AI as an isolated technology initiative, Metso focuses on aligning machine learning capabilities directly with business outcomes. By prioritizing clear value metrics, change management, and domain-specific AI models, the organization demonstrates how traditional industries can scale automated decision-making and operational efficiencies across global supply chains and manufacturing processes.
2. Reimagining Customer Experience at Scale (IKEA)
Speaker: Stefan Esping, IKEA IT AB
At IKEA, customer service serves as a frontline showcase for real-world AI deployment. By integrating enterprise AI and modern language models into customer support operations, IKEA aims to automate routine inquiries, assist support agents with contextual knowledge retrieval, and streamline service resolution globally. The case study highlights the importance of balancing automated response systems with high-quality human support to improve overall customer satisfaction. 
3. Predictive AI for Critical Infrastructure (Caruna)
Speaker: Pekka Wartiainen, Caruna
In the energy sector, electricity distribution operator Caruna leverages AI to tackle network capacity forecasting. As the energy transition accelerates demand for EV charging, heating electrification, and renewable integration, static forecasting models fall short. Caruna demonstrates how predictive AI models process granular, real-time distribution data to optimize grid capacity, anticipate network bottlenecks, and guide strategic infrastructure investments.
4. Unifying Data Architectures for Real-Time AI (Hopsworks)
Speaker: Jim Dowling, Hopsworks
Operationalizing enterprise AI requires robust data engineering pipelines that bridge static data lakehouses with real-time model serving. Drawing parallels to Swedish design principles, Hopsworks outlines how organizations can integrate enterprise data warehouses with feature stores. Their approach addresses the complex requirements of real-time AI, sovereign GPU management, and running Large Language Models (LLMs) on enterprise data.
5. Powering Enterprise Scale with High-Performance Compute (Oracle OCI & NVIDIA)
Speakers: Alexander Young (NVIDIA) & Daniel Johansson (Oracle)
The foundation of modern AI deployment relies on hardware-software co-design. NVIDIA and Oracle Cloud Infrastructure (OCI) demonstrate how accelerated compute infrastructure and tailored cloud architectures enable enterprises to train, fine-tune, and deploy complex AI models at scale. Their joint strategies highlight how optimizing GPU infrastructure and cloud-native frameworks reduces latency, lowers compute costs, and accelerates time-to-market for enterprise LLMs.
A Whole Video Library of Real Examples
Successfully scaling artificial intelligence demands a unified approach that connects high-level business strategy directly to underlying data and hardware infrastructure. As demonstrated by these leaders at the Data Innovation Summit, sustainable AI growth requires domain-specific problem solving, real-time data accessibility, and high-performance compute architectures working in tandem.
Whether you are refining your data pipeline, fine-tuning infrastructure, or scaling AI across customer operations, these sessions offer a front-row seat to the strategies shaping the future of enterprise technology. Dive into the full video recordings above to catch every insight, real-world detail, and technical takeaway directly from the speakers.
Ready to explore even more? Browse our latest articles and video library to discover how top global brands and data pioneers are pushing the boundaries of AI innovation.
