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TECHx
16-07-2025
- Business
- TECHx
Nutanix Reveals 2024 Financial Services Cloud Report
Home » Emerging technologies » Cloud Computing » Nutanix Reveals 2024 Financial Services Cloud Report Nutanix (NASDAQ: NTNX), a hybrid multicloud computing, announced the findings of its seventh annual Financial Services Enterprise Cloud Index (ECI) report. The global survey, conducted in Fall 2024 by U.K. researcher Vanson Bourne, measured cloud adoption progress in the financial services industry. According to the report, nearly all financial services organizations are now leveraging Generative AI (GenAI) applications. Most use cases focus on customer support, content creation, and automation. Despite rapid GenAI adoption, many firms struggle with infrastructure limitations. Nutanix reported that 92% of respondents believe their infrastructure needs improvement to fully support cloud native applications and containers. While containerization and Kubernetes are already in use, challenges like data silos and limited portability persist. Furthermore, 98% of organizations cited difficulties in scaling GenAI due to a lack of skilled personnel. Although 62% are actively hiring for GenAI roles, upskilling remains a key concern. Security was also identified as a major challenge. Nutanix revealed that 97% of respondents feel they must do more to secure GenAI models and applications. Additionally, 96% say GenAI is reshaping their data security priorities, and 90% express concerns about third-party IT vendor security. Financial leaders are also focused on long-term returns. While 39% anticipate potential GenAI-related losses in the next year, 58% expect gains within one to three years. Lee Caswell, SVP of Product and Solutions Marketing at Nutanix, said containers and hybrid cloud are now strategic tools in delivering customer value. He highlighted their role in enabling GenAI for fraud detection, cybersecurity, and customer engagement. Key insights from the Nutanix report include: GenAI adoption is high, but security and skills gaps remain. Infrastructure modernization is critical to scale GenAI. Financial services leaders are investing in long-term GenAI ROI. The 2024 Nutanix ECI survey included 1,500 IT and platform engineering decision-makers from multiple industries and regions, including the Americas, EMEA, and APJ.
Zawya
16-07-2025
- Business
- Zawya
Nutanix Study finds financial services fast-tracking GenAI adoption—but long-term gains hinge on infrastructure and talent
DUBAI, UAE – Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Financial Services Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that nearly all the financial services organizations surveyed are currently leveraging GenAI applications or workloads today, with a focus on real-life applications gravitating towards customer support and content development. Despite widespread GenAI adoption, financial services organizations are struggling to keep pace. Most cite a skills gap needed to manage GenAI with existing infrastructure. Moreover, 97% of respondents admit they could do more to secure their GenAI models and applications. 'Financial services organizations are turning to containers and hybrid cloud not just as technology upgrades, but as strategic enablers of customer value,' said Lee Caswell, SVP of Product and Solutions Marketing at Nutanix. 'This year's ECI report highlights how these technologies are delivering measurable ROI by powering GenAI applications that enhance fraud detection, strengthen cybersecurity, and elevate customer engagement. For financial institutions, containers and hybrid cloud have become essential tools to drive innovation, agility, and trust in a rapidly evolving digital landscape. 'But AI and how organizations want to use it is also changing very rapidly. While GenAI remains a part of their activities, beyond the findings in the report, our customers are telling us they have moved to adopt agentic AI and are looking to harness its potential across their organizations and in how they interact with their customers.' The report surveyed financial services leaders on GenAI adoption, Kubernetes, and container use, and where they're running mission-critical applications today—and where they plan to run them next. Key findings include: GenAI Adoption Is Widespread but Not Without Risk: Nearly all industry respondents report using some form of GenAI today, with current use cases focused on customer support, content generation, and automation. However, data privacy and security stand out as the top concerns, with 97% agreeing their organizations must do more to secure GenAI models and applications. Infrastructure Modernization Is Needed for GenAI Success: 92% of respondents say their current infrastructure requires improvement to fully support cloud native applications and containers. Although containerization and Kubernetes are already in use, particularly for GenAI workloads, application portability and data silos persist as major hurdles. IT Talent Shortage Could Slow Momentum: Nearly all respondents (98%) face challenges scaling GenAI from development to production, citing lack of skilled personnel and integration issues. While 62% of respondents are actively hiring for GenAI expertise, training and upskilling remain critical priorities. Return on Investment (ROI) is a Priority but It's a Long Game: 39% of respondents anticipate potential GenAI-related losses in the next 12 months, while 58% expect gains within one to three years. This suggests that financial services leaders are embracing a longer-term view of GenAI success but also underscores the need for better tools to measure GenAI ROI. Security and Compliance Will Continue to be Important: The majority (96%) of respondents say GenAI is reshaping their data security and privacy priorities. Additionally, 90% express concern about data security in the broader IT vendor ecosystem, further highlighting the complexity of securing AI deployments. 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. 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.
Techday NZ
16-07-2025
- Business
- Techday NZ
Financial sector ramps up GenAI use but skills & risks remain
New research from Nutanix has revealed that financial services organisations are broadly adopting generative AI (GenAI), with implementations extending well beyond chatbot applications into areas such as fraud detection, cybersecurity, and customer experience. The findings are based on the company's seventh annual global Financial Services Enterprise Cloud Index (ECI) survey, which assessed enterprise cloud adoption, containerisation, and GenAI trends among IT and DevOps decision-makers across the sector. Almost every respondent reported current use of GenAI, including for customer support and content development. Widespread adoption and expanding use cases While initial industry enthusiasm for GenAI focused on front-line tools such as chatbots, the research highlights that organisations are increasingly applying it to core operations such as automation, fraud detection, and enhancing client engagement. Nutanix noted that solutions are being used to automate workflows, generate content, and deliver customer support at scale. However, the rapid uptake of these technologies is exposing several industry-wide challenges. Most respondents expressed concerns about their readiness to operate GenAI applications securely and at scale, with particular anxiety about data privacy and security risks. "Financial services organisations are turning to containers and hybrid cloud not just as technology upgrades, but as strategic enablers of customer value," said Lee Caswell, SVP of Product and Solutions Marketing at Nutanix. "This year's ECI report highlights how these technologies are delivering measurable ROI by powering GenAI applications that enhance fraud detection, strengthen cybersecurity, and elevate customer engagement. For financial institutions, containers and hybrid cloud have become essential tools to drive innovation, agility, and trust in a rapidly evolving digital landscape. "But AI and how organisations want to use it is also changing very rapidly. While GenAI remains a part of their activities, beyond the findings in the report, our customers are telling us they have moved to adopt agentic AI and are looking to harness its potential across their organisations and in how they interact with their customers." Infrastructure and skills lag behind The majority of survey respondents admitted that the foundational requirements to scale GenAI are not yet fully in place. In total, 97% said their organisations need to do more to secure their GenAI models and applications, and 92% agreed their infrastructure must be modernised to support cloud-native applications and containers. Containerisation and tools such as Kubernetes are already widely deployed, especially for GenAI workloads. Nevertheless, organisations continue to wrestle with issues such as application portability and the persistence of data silos across their operations. Talent shortages hinder scaling A further significant barrier for the sector is the ongoing shortage of skilled IT personnel capable of deploying GenAI from development into production environments. Nearly all respondents (98%) cited difficulty in scaling up due to insufficient expertise and integration challenges, prompting 62% to say they are actively hiring for GenAI-related roles. Many organisations highlighted the urgent need for training and upskilling existing staff. Mixed outlook for returns While the long-term expectations for GenAI remain positive, the immediate financial outlook is less certain. Just under 40% of those surveyed anticipated possible GenAI-related losses over the next year, while 58% expect to see returns on investment within one to three years. This highlights that many organisations see the value of GenAI as a longer-term play but are seeking more reliable ways to track and measure its impact. Security and compliance front of mind With increasing reliance on data-driven systems, security and compliance are rising priorities across the sector. The majority of respondents - 96% - said GenAI is already reshaping how they set data security and privacy policies. Furthermore, 90% raised concerns about security throughout the IT vendor ecosystem, pointing to the growing complexity of safeguarding data and applications in cloud environments. The ECI study was conducted by UK-based researcher Vanson Bourne in autumn 2024, polling 1,500 IT and platform engineering leaders from a range of firm sizes and regions globally, including North and South America, EMEA, and Asia-Pacific-Japan.
Scoop
16-07-2025
- Business
- Scoop
Nutanix Study Finds Financial Services Fast-Tracking GenAI Adoption—but Long-Term Gains Hinge On Infrastructure & Talent
Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Financial Services Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that nearly all the financial services organisations surveyed are currently leveraging GenAI applications or workloads today, with a focus on real-life applications gravitating towards customer support and content development. Despite widespread GenAI adoption, financial services organisations are struggling to keep pace. Most cite a skills gap needed to manage GenAI with existing infrastructure. Moreover, 97% of respondents admit they could do more to secure their GenAI models and applications. 'Financial services organisations are turning to containers and hybrid cloud not just as technology upgrades, but as strategic enablers of customer value,' said Lee Caswell, SVP of Product and Solutions Marketing at Nutanix. 'This year's ECI report highlights how these technologies are delivering measurable ROI by powering GenAI applications that enhance fraud detection, strengthen cybersecurity, and elevate customer engagement. For financial institutions, containers and hybrid cloud have become essential tools to drive innovation, agility, and trust in a rapidly evolving digital landscape. 'But AI and how organisations want to use it is also changing very rapidly. While GenAI remains a part of their activities, beyond the findings in the report, our customers are telling us they have moved to adopt agentic AI and are looking to harness its potential across their organisations and in how they interact with their customers.' The report surveyed financial services leaders on GenAI adoption, Kubernetes, and container use, and where they're running mission-critical applications today—and where they plan to run them next. Key findings include: GenAI Adoption Is Widespread but Not Without Risk: Nearly all industry respondents report using some form of GenAI today, with current use cases focused on customer support, content generation, and automation. However, data privacy and security stand out as the top concerns, with 97% agreeing their organisations must do more to secure GenAI models and applications. Infrastructure Modernisation Is Needed for GenAI Success: 92% of respondents say their current infrastructure requires improvement to fully support cloud native applications and containers. Although containerisation and Kubernetes are already in use, particularly for GenAI workloads, application portability and data silos persist as major hurdles. IT Talent Shortage Could Slow Momentum: Nearly all respondents (98%) face challenges scaling GenAI from development to production, citing lack of skilled personnel and integration issues. While 62% of respondents are actively hiring for GenAI expertise, training and upskilling remain critical priorities. Return on Investment (ROI) is a Priority but It's a Long Game: 39% of respondents anticipate potential GenAI-related losses in the next 12 months, while 58% expect gains within one to three years. This suggests that financial services leaders are embracing a longer-term view of GenAI success but also underscores the need for better tools to measure GenAI ROI. Security and Compliance Will Continue to be Important: The majority (96%) of respondents say GenAI is reshaping their data security and privacy priorities. Additionally, 90% express concern about data security in the broader IT vendor ecosystem, further highlighting the complexity of securing AI deployments. 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 Financial Services Nutanix Enterprise Cloud Index, here and read the blog here. About Nutanix Nutanix is a global leader in cloud software, offering organisations 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.
Forbes
01-04-2025
- Business
- Forbes
5 Key Areas Shaping The Future Of GenAI And Cloud Native Transformation
By Lee Caswell With 2024 in the rearview, the seventh annual Nutanix Enterprise Cloud Index (ECI) reveals how GenAI and cloud native technologies are fundamentally reshaping enterprise IT. Drawing from a global survey of 1,500 IT, DevOps and platform engineering decision-makers, including those at the C-level, the report highlights five key areas where GenAI is driving the next wave of digital transformation: application containerization, GenAI adoption, data security, modernization to support GenAI scaling, and talent development. Let's first dive into why 98% of ECI respondents say they are at least in the process of containerizing apps—and why only being in the process won't be enough with the rapid adoption of new workloads like GenAI. Containerization, cloud native applications and AI solution development have all become closely intertwined, and the ECI report reflects this shift. Nearly 90% of ECI organizations report that at least some of their apps are now containerized. Containerization also streamlines app deployment, simplifies scaling and enhances security, making it the gold standard for modern IT infrastructure and the preferred method for deploying GenAI. In fact, 70% of respondents in this year's survey say they will containerize their GenAI applications, the highest among all app categories. However, 80% of organizations said their current IT infrastructure requires some level of improvement to support cloud native applications and containers. It's not just buzz. GenAI is quickly becoming the backbone of digital transformation, empowering businesses to improve internal productivity and build more engaging customer experiences. According to the ECI report, 85% of organizations already have a GenAI strategy in place, with only 2% reporting that they have not yet started planning. The prevalence of GenAI strategies highlights the urgent need to leverage AI models to improve decision-making, automate repetitive tasks and drive innovation. But what are businesses using GenAI for? The use cases are diverse and growing: With its rapid adoption, GenAI is becoming a central piece of innovation. But protecting both GenAI models and data presents its own set of challenges, particularly for organizations that require a GenAI environment capable of meeting enterprise resilience, day 2 operations, and compliance requirements. As transformative as GenAI is, it brings with it the pressing need for robust data security and privacy. The ECI report found that data privacy and security is the top concern for GenAI adoption, with 30% of respondents ranking it as the most important aspect of deployment, followed by performance (23%) and scalability (22%). Despite these concerns, 95% of organizations believe they could still do more to secure their GenAI models. 38% of respondents are concerned about privacy and security risks related to using large language models (LLMs) with sensitive data. Additionally, 31% highlighted the complexity of building a secure GenAI environment from scratch. Luckily, organizations are investing in the right areas to address these gaps. Half of all respondents identify the need to invest in cybersecurity and data governance, and 53% see GenAI as an opportunity to upskill their teams—transforming them into AI experts over time. As businesses scale GenAI, maintaining robust security while protecting sensitive data will remain a critical investment. The companies that invest in both modern infrastructure and expertise will be better positioned to emerge as the leaders in this new era of AI-driven business. Scaling GenAI workloads is not a straightforward journey, particularly in integrating existing IT systems with the specialized demands of GenAI. According to this year's survey, an astounding 98% of respondents face challenges when it comes to scaling GenAI workloads from development to production. In fact, the number one challenge organizations face when scaling GenAI workloads from development into production is integration with existing IT infrastructure (54%). This is likely tied to the fact that infrastructure required for GenAI workloads is more demanding than that required for traditional enterprise workloads. GenAI workloads require high-performance computing, high-throughput storage and low-latency networking—all while maintaining security and data integrity. Managing the lifecycle of GenAI models presents additional hurdles. While 79% of organizations plan to implement processes for managing the lifecycle of GenAI models from development to deployment, the reality is that many are still playing catch-up. Organizations are still in the planning phase when it comes to managing GenAI lifecycles, with 52% planning to leverage third-party MLOps platforms, 48% planning to build in-house developed tools, and 21% saying they don't/will not have any processes or tools in place to manage the lifecycle of GenAI models. A key ingredient to successfully scaling GenAI though are the DevOps and engineering teams that keep them up and running. The explosion of GenAI isn't just a tech shift—it's a workforce shift. The demand for skilled AI professionals is fierce, with 52% of organizations acknowledging the need for more IT training related to GenAI. Yet, only 48% are looking to hire new talent. While the talent shortage is real, many organizations are finding solutions closer to home. 85% of businesses plan to purchase existing AI models or leverage existing open-source AI models in order to build their AI apps, bypassing the need to build models from scratch. Only 10% intend to build their own models, signaling ready-made, tunable solutions are the way forward for most. On top of this, not all AI expertise needs to come from external hires. Many companies are finding that internal upskilling is a viable way to grow their GenAI competencies, with 53% of ECI respondents believing GenAI advancements will provide an opportunity for employees to become AI experts. The bottom line? Talent shortages are not insurmountable. By focusing on upskilling existing teams, leveraging external solutions and strategically hiring, organizations can bridge the GenAI skill gap. GenAI isn't just a passing trend—it's the future of business. Its transformative impact on workloads, infrastructure and workforce strategies requires organizations to rethink everything. From cloud native architectures to security frameworks and talent management, GenAI demands a new approach to digital transformation. Organizations that are serious about GenAI adoption will need to: Ready to get started? Check out the full report for more insights on how to navigate the world of GenAI and cloud native transformation.
