Research Notes

Research

The Next Generation of Data Lakehouses Research Brief – Web Copy

The HyperFRAME Research “The Next Generation of Data Lakehouses” Research Brief examines how enterprises can bridge the gap between production AI and fragmented data architectures by evolving the traditional lakehouse into a unified, operational intelligence platform. As enterprises shift AI from initial pilots to full production, data has emerged as the ultimate differentiator for success. This leaves IT leaders facing a core strategic dilemma: should they move their data to the AI, or deploy the AI directly to where their data lives?

IBM LinuxONE 5: The Ultimate Platform for Secure, Resilient, and Efficient Enterprise Computing​

Enterprise infrastructure teams are balancing AI adoption, cyber resilience, data growth, and constraints on power, cooling, floor space, and deployment timelines. HyperFRAME Research Lens (1H 2026) data found that only 14% of organizations classify their core data architecture as fully modernized for AI workloads, highlighting the gap between AI ambitions and infrastructure readiness.

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Research

The Next Generation of Data Lakehouses Research Brief – Web Copy

The HyperFRAME Research “The Next Generation of Data Lakehouses” Research Brief examines how enterprises can bridge the gap between production AI and fragmented data architectures by evolving the traditional lakehouse into a unified, operational intelligence platform. As enterprises shift AI from initial pilots to full production, data has emerged as the ultimate differentiator for success. This leaves IT leaders facing a core strategic dilemma: should they move their data to the AI, or deploy the AI directly to where their data lives?

IBM LinuxONE 5: The Ultimate Platform for Secure, Resilient, and Efficient Enterprise Computing​

Enterprise infrastructure teams are balancing AI adoption, cyber resilience, data growth, and constraints on power, cooling, floor space, and deployment timelines. HyperFRAME Research Lens (1H 2026) data found that only 14% of organizations classify their core data architecture as fully modernized for AI workloads, highlighting the gap between AI ambitions and infrastructure readiness.