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Nutanix Study Finds Adoption of GenAI and Containers in the Healthcare Sector Has Accelerated, But IT Infrastructure Modernization to Support it Lags Behind
Globenewswireยท 2025-07-01 13:00
Core Insights - The modernization of legacy IT systems is essential for healthcare organizations to meet data security, privacy, and scalability demands [1] - A significant 99% of healthcare organizations are currently utilizing GenAI applications, the highest adoption rate among industries [1][3] - Despite high adoption rates, 96% of healthcare organizations report that their data security and governance measures are inadequate for supporting GenAI at scale [1][3] Group 1: GenAI Adoption and Challenges - Healthcare leaders are integrating GenAI at unprecedented rates, with 79% citing integration with existing IT infrastructure as the primary challenge [2] - Concerns regarding data silos (65%) and development challenges with cloud-native applications (59%) persist among healthcare organizations [2] - 96% of healthcare respondents believe their organizations could enhance security for GenAI models and applications [3] Group 2: Infrastructure Modernization - 99% of healthcare organizations face challenges in scaling GenAI workloads from development to production, primarily due to integration issues with existing IT infrastructure [3] - Prioritizing infrastructure modernization is crucial for healthcare IT decision-makers to support GenAI initiatives effectively [3] Group 3: Containerization and Cloud Adoption - Application containerization and Kubernetes deployments are expanding, with 99% of healthcare organizations in the process of containerizing applications [4] - 92% of healthcare respondents acknowledge benefits from adopting cloud-native applications and containers, indicating a trend towards modern infrastructure solutions [4] Group 4: Research Methodology - The findings are based on a global survey conducted by Vanson Bourne, which included 1,500 IT and DevOps/Platform Engineering decision-makers across various industries and regions [4]