Latest news with #ISInfrastructureEngineering
Channel Post MEA
19 hours ago
- Business
- Channel Post MEA
99% Of Healthcare Organizations Leveraging GenAI, But Data Security And Scaling Challenges Remain
Nutanix has announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organizations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale. 'In healthcare, every decision we make has a direct impact on patient outcomes – including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernizing our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.' This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent. 'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales – Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organizations, there continue to be concerns given the importance of protecting healthcare data. Although all organizations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organizations as concerns around privacy and security are resolved.' Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include: GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organizations when it comes to leveraging or expanding utilization of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organization could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organizations. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organizations when it comes to leveraging or expanding utilization of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organization could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organizations. Prioritize infrastructure modernization to support GenAI at scale across healthcare organizations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritize infrastructure investments and modernization as a key enabling component of GenAI initiatives. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritize infrastructure investments and modernization as a key enabling component of GenAI initiatives. GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organization is leveraging GenAI applications/workloads today. Most healthcare organizations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organization is leveraging GenAI applications/workloads today. Most healthcare organizations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organizations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. However, healthcare organizations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. Application containerization and Kubernetes deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organizations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerization is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organization is at least in the process of containerizing trend may be driven by the fact that 92% of healthcare respondents agree their organization benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerization fits into expansion strategies for new and existing workloads. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerization trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.
TECHx
3 days ago
- Business
- TECHx
Nutanix Reveals 2024 Healthcare Cloud Trends
Home » Smart Sectors » Healthcare » Nutanix Reveals 2024 Healthcare Cloud Trends Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, has announced the findings of its seventh annual Healthcare Enterprise Cloud Index (ECI) survey and research report. The global report, conducted by U.K. research firm Vanson Bourne in Fall 2024, surveyed 1,500 IT and DevOps/Platform Engineering decision-makers across various industries and regions, including North and South America, EMEA, and Asia-Pacific-Japan. According to the report, 99% of healthcare organizations are now using GenAI applications or workloads. This adoption rate is the highest among all industries. These applications include AI-powered chatbots, code co-pilots, and clinical development automation tools. However, 96% of respondents reported that their current data security and governance measures are not sufficient to support GenAI at scale. Concerns remain around integrating GenAI into existing IT infrastructure and managing healthcare data silos. Jon Edwards, Director IS Infrastructure Engineering at Legacy Health, emphasized the need for responsible GenAI integration. He noted that investing in infrastructure is critical to ensure data privacy and long-term innovation. Scott Ragsdale, Senior Director, Sales – Healthcare & SLED at Nutanix, highlighted the rapid adoption of GenAI in healthcare. He also pointed out ongoing concerns over data protection and infrastructure challenges. Key findings from the report include: 99% of respondents face issues scaling GenAI workloads, with integration challenges being the top concern. 96% agreed that their organizations must improve GenAI security and governance. 92% benefit from adopting cloud native applications and containers. Application containerization is also gaining traction in healthcare. Nearly all respondents stated their organizations are using or planning to use containers to improve data access and application deployment across hybrid and multicloud environments. Despite healthcare's traditional slow pace in adopting new technologies, the ease of accessing GenAI tools has driven rapid uptake. Still, the report revealed that real-world use cases, such as AI-powered support and code generation, face obstacles like scalability, complexity, and data privacy. Nutanix reported that infrastructure modernization remains a priority for healthcare IT leaders. Enhancing data security and governance is essential to support the growing use of GenAI in mission-critical applications. The company believes that addressing these infrastructure and security challenges will be key to unlocking GenAI's full potential in healthcare.
Techday NZ
3 days ago
- Health
- Techday NZ
GenAI adoption surges in healthcare but security hurdles remain
Ninety-nine percent of healthcare organisations are now making use of generative artificial intelligence (GenAI), according to new global research from Nutanix, but almost all say they face challenges in data security and scaling these technologies to production. The findings are drawn from the seventh annual Healthcare Enterprise Cloud Index (ECI) report by Nutanix, which surveyed 1,500 IT and engineering decision-makers across multiple industries and regions, including the healthcare sector. The research highlights both rapid uptake of GenAI in healthcare settings and significant ongoing barriers around infrastructure and privacy. GenAI use widespread, but risks loom Among healthcare organisations surveyed, a striking 99% said they are currently leveraging GenAI applications or workloads, such as AI-powered chatbots, code co-pilots and tools for clinical development automation. This sector now leads all other industries in GenAI adoption, the report found. However, nearly as many respondents—96%—admitted their existing data security and governance were not robust enough to support GenAI at scale. Additionally, 99% say scaling from pilot or development to production remains a serious challenge, with integration into existing IT systems cited as the most significant barrier to wider deployment. "In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack," said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. "We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us." Patient data privacy and security concerns underpin much of this hesitation. The number one challenge flagged by healthcare leaders is the task of integrating GenAI with legacy IT infrastructure (79%), followed by the continued existence of data silos (65%) and ongoing obstacles in developing cloud-native applications and containers (59%). Infrastructure modernisation lags adoption The report stresses that while GenAI uptake is high, inadequate IT modernisation could impede progress. Scaling modern applications such as GenAI requires updated infrastructure solutions capable of handling complex data security, integrity, and resilience demands. Respondents overwhelmingly agree more must be done in this area. Key findings also indicate that improving foundational data security and governance will remain an ongoing priority. Ninety-six percent agree their organisations could still improve the security of their GenAI models and applications, while fears around using large language models (LLMs)—especially with sensitive healthcare data—are prevalent. Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix, described the recent surge in GenAI adoption as a departure from healthcare's traditional technology adoption timeline. "While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools. Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved." Nearly all healthcare respondents (99%) acknowledge difficulties in moving GenAI workloads to production, driven chiefly by the challenge of integrating with existing systems. This indicates that, despite wide experimentation and early deployments, many organisations remain cautious about full-scale rollouts. Containers and cloud-native trends In addition to GenAI, the survey found a rapid expansion in the use of application containerisation and Kubernetes deployments across healthcare. Ninety-nine percent of respondents said they are at least in the process of containerising applications, and 92% note distinct benefits from cloud-native application adoption, such as improved agility and security. Container-based infrastructure is viewed as crucial for enabling secure, seamless access to both patient and business data over hybrid and multicloud environments. As a result, many healthcare IT decision-makers are expected to prioritise modern deployment strategies involving containers for both new and existing workloads. Respondents continue to see GenAI as a path towards improved productivity, automation and efficiency, with major use cases involving customer support chatbots, experience solutions, and code generation tools. Yet, the sector remains grappling with the challenges of scale, security, and complexity inherent to these new technologies. The Nutanix study was conducted by Vanson Bourne in Autumn 2024 and included perspectives from across the Americas, EMEA and Asia-Pacific-Japan.
Scoop
3 days ago
- Business
- Scoop
Healthcare's GenAI Gold Rush Is Here, But The Infrastructure Isn't Ready
Modernisation of legacy IT systems remains critical to meeting data security, privacy, and scalability demands for healthcare organisations Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organisations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale. 'In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.' This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent. 'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved.' Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include: GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organisations when it comes to leveraging or expanding utilisation of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organisation could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organisations. Prioritise infrastructure modernisation to support GenAI at scale across healthcare organisations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritise infrastructure investments and modernisation as a key enabling component of GenAI initiatives. GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organisation is leveraging GenAI applications/workloads today. Most healthcare organisations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organisations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. Application containerisation and Kubernetes® deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organisations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerisation is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organisation is at least in the process of containerising trend may be driven by the fact that 92% of healthcare respondents agree their organisation benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerisation fits into expansion strategies for new and existing workloads. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerisation trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region. To learn more about the report and findings, please download the full Healthcare Nutanix Enterprise Cloud Index, here and read the blog here. About Nutanix Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at or follow us on social media @nutanix.
