Insight

  • As organizations rush to understand and deploy AI agents, they are quickly realizing the need for an AI-powered data platform that can help prepare their data for AI and analytics empowerment. The same data foundation is required for both, making the transition from an analytic platform to an AI platform a natural one. The same data quality, governance, and trust needed for analytics are necessary for generative AI and AI agents. With its new agent-building tools and data lake capabilities, including Iceberg, Qlik demonstrates thought leadership as it continues to meet market and customer demands.

    To learn more, download the free brief, Qlik, an Analytics and Data Integration Leader, Is Quickly Empowering AI Agents for Its Customers and Addressing Core Data Foundation Needs.

  • Gaps in cybersecurity skill sets, coverage, processes, and technology continue to plague many organizations today, and enterprises across industries are looking to AI and automation solutions to bridge many of these gaps. However, despite rapid advancement of AI technologies, recent research by Enterprise Strategy Group found that many organizations plan to leverage managed services for the foreseeable future to close gaps and accelerate program development.

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  • Security operations is a core function of cybersecurity, requiring a combination of skilled people, refined processes, and scalable technologies. While once focused on more reactive security functions, modern security operations centers (SOCs) are increasingly responsible for more proactive security functions, including monitoring security posture and status, managing threats and exposure, and analyzing threat intelligence, while continuing to triage, investigate, and respond to suspicious or malicious behavior. Recent research by Enterprise Strategy Group investigated how the size of a SOC impacts the adoption of technologies such as GenAI, leveraging third-party services and increasing organizations’ spending to better support their security operations and fortify their security posture.

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  • The diverse amalgamation of interfaces, environments, and experiences that comprise the modern IT ecosystem continues to plague operations with unnecessary complexity. According to the Enterprise Strategy Group research report “Navigating the Cloud and AI Revolution: The State of Enterprise Storage and HCI,” 68% of organizations agreed that overall complexity is slowing down their IT operations and initiatives. And, in the digital age of business, nearly anything that will move the needle for business success requires IT.

    The quest to simplify IT operations continues to fuel hyperconverged infrastructure adoption, but growing concerns about lock-in and a desire to choose infrastructure means that flexibility has also become a prime consideration.

    The drive to deliver the simplicity of a hyperconverged infrastructure while also providing choices in deployment was the central theme of Nutanix’s Next 2025 conference in Washington. Nutanix, a hyperconverged infrastructure and application platform provider, announced multiple new capabilities, partnerships, and solutions designed to help enable users to “run anything anywhere.” To that end, the announcements enable Nutanix to increase its breadth of deployment options while also simplifying the integration of Nutanix technology into existing, competitive environments. Recent announcements included:

    1. An integrated Pure Storage and Nutanix Cloud Infrastructure solution in which Nutanix compute connects to external Pure Storage FlashArray(s) over non-volatile memory express/TCP. The solution features integrated management enabling users to manage core Pure Storage functionality, such as provisioning, from Nutanix Prism.
    2. General availability of the integrated Nutanix Cloud Infrastructure solution with Dell Technologies that leverages external storage with Dell PowerFlex technology, which was announced last year.   
    3. Cloud Native AOS (Acropolis Operating System) solution, which extends Nutanix enterprise storage and advanced data services to public cloud Kubernetes services and cloud-native bare-metal environments, without requiring a hypervisor. Cloud Native AOS is currently in early access on Amazon EKS, and it will be generally available this summer.
    4. New version of Nutanix Enterprise AI offering Nvidia integration designed to support emerging agentic AI applications.

    Nutanix’s integrated solutions with Pure Storage and Dell Technologies—along with its cloud-native offering—extend Nutanix’s strategy to expand beyond the confines of hyperconverged infrastructure to provide increased infrastructure flexibility to users. The integrations also greatly simplify Nutanix’s ability to integrate into existing production environments, likely using alternative hypervisors such as VMware.

    Nutanix’s increased flexibility is a welcome addition because an increasing number of businesses are embracing alternatives in the hypervisor space. According to the aforementioned Enterprise Strategy Group research, 89% of organizations said the ability to use/evaluate multiple hypervisor/orchestration options is strategic.

    While Nutanix has the desire and the technology to take a larger share of the market, application platform decisions cannot be made in a vacuum. Nutanix must scale its partner ecosystem to elevate its leadership position. And in that regard, Nutanix has already made progress. For example, Nutanix’s 2023 Next event had 30 sponsors, the 2024 event had 55, and this year’s event had 85.

    Nutanix’s architectural adjustments to support external third-party storage from Dell and Pure Storage is an excellent start, but Nutanix will need to expand integration with other storage players, such as Hitachi Vantara, HPE, IBM, and NetApp as well. While Nutanix did not specify any future plans at the event, additional integrated solutions would be the next logical step.

    The ability to deploy AOS as a cloud-native solution also provides a key strategic proof point for users. It highlights Nutanix’s commitment to support cloud-native and cloud-only Kubernetes environments. Application platform options must provide a modernization path to support not only where the application environment is, but where it is going (i.e., virtual machines and containers). While the announcement calls out AWS EKS, I would expect Nutanix to take Cloud Native AOS to Azure and Google Cloud as well. 

    Based on everything I saw and heard at Next 2025, I believe that Nutanix has the technology and people to deliver on its “run anything anywhere” vision. In conversations with its executives, it became clear that Nutanix is hyperfocused on delivering both simplicity and flexibility in its offerings.

    Working in Nutanix’s favor is that it isn’t some new startup. Founded 16 years ago, Nutanix has been a key player in both hyperconverged and hypervisor technology for some time. And in conversations at the event, multiple customers complimented its services and support groups in helping to ensure the adoption of Nutanix was a success.

    While Nutanix has multiple points in its favor, rapid scale, specifically when adding breadth to the supported environments, can be a difficult undertaking. Vendors can often lose focus and often sacrifice simplicity to support broader functionality. How Nutanix navigates the path of increased flexibility while delivering on simplicity will be something to watch over the next couple of years. Ultimately, businesses need a provider that can help simplify increasingly diverse and distributed application environments, and one that can span across multiple public clouds as well as data centers and edge environments. This strategic trajectory augments Nutanix’s ability to both compete and win against competitors like VMware, Microsoft, and Red Hat. And in a space in which IT decision-makers are seeking alternatives, Nutanix’s focus on flexibility should be very welcome.

  • Organizations are constantly developing and deploying new applications in an effort to supercharge business processes, enhance employee productivity, deliver unique customer experiences, and more. As a result, many enterprises have ended up with a massive application portfolio. Recent research by Enterprise Strategy Group investigated how application volumes can affect an organization’s observability needs now and in the future.

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  • Observability vendors are in a race to leverage AI to automate root cause analysis, enable self-healing, optimize resources, reduce alert noise, automate log analysis, and deliver contextualized actionable insights to end users. Organizations across industries recognize that implementing AI-enhanced observability tools can give them strategic insights that optimize the economics of their application development and platform engineering practices. However, Enterprise Strategy Group’s recent research reveals that an organization’s industry significantly influences three key aspects of AI-enhanced observability: the specific operational benefits realized, perceived return on investment, and how frequently teams override AI recommendations.

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  • Enterprises need to provide access to sensitive data while controlling against the unauthorized disclosure of that information from inadvertent leakage, insider threats, and outside attacks targeting data. Work-from-home and bring-your-own-device initiatives pose increased data loss prevention (DLP) challenges, and generative AI (GenAI) has opened new avenues for data leakage. Although DLP is a top investment category when it comes to data security, enterprises continue to struggle to classify data and control against data loss. Enterprise Strategy Group recently surveyed IT and cybersecurity professionals to gain insights into these trends.

    To learn more, download the free infographic, Reinventing Data Loss Prevention: Adapting Data Security to the Generative AI Era.

  • Enterprises need to provide access to sensitive data while controlling against the unauthorized disclosure of that information from inadvertent leakage, insider threats, and outside attacks targeting data. Work-from-home and bring-your-own-device initiatives pose increased DLP challenges, and new collaboration platforms and GenAI applications have opened new avenues for data leakage. Additionally, the proliferation of cloud services poses threats for data exfiltration, while intellectual property and trade secrets take new forms that do not lend themselves to conventional DLP solutions.

    Although DLP is a top investment category when it comes to data security, enterprises continue to struggle to classify data and control against data loss. Whether an enterprise DLP solution or DLP functionality within another security technology, current offerings generate considerable false positive alerts that distract teams that must evaluate and respond to such alerts. Existing approaches relying on regular expression (regex) rules can be brittle and require considerable maintenance, while current DLP solutions frequently encounter scaling and performance issues. Furthermore, complex data types like software code or health sciences data can be difficult to categorize.

    To gain insights into these trends, Enterprise Strategy Group surveyed 370 IT and cybersecurity professionals in North America (U.S. and Canada) involved with identity security technologies and processes.

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  • This Complete Survey Results presentation focuses on how organizations categorize and protect data and control against data loss across the enterprise attack surface, which includes the challenges of preventing unauthorized disclosure of sensitive data, the risk posed by today’s data loss prevention (DLP) solutions, and the impact of cloud services and generative AI technologies.

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  • The messages from vendors in the early days of AI PCs were focused on concepts like audio and video enhancement, real-time translation, and accessibility features (e.g., sign language interpretation, gesture-based controls, etc.). As the AI PC market matures, new light is shone on the success factors that organizations need to see to increase adoption, and recent research by Enterprise Strategy Group found that those features go far beyond basic AI functionality and value.

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  • The allure of Windows PCs equipped with ARM processers has been tantalizing for many years, especially with the rise of more powerful smartphones. The desire reached a fever pitch when Apple switched to an ARM architecture for its laptops in 2020, which enabled it to boast unheard of battery life and performance numbers. Since then, Microsoft (and hardware vendors) have been looking to diversify their offerings. Recent research by Enterprise Strategy Group investigated the current interest levels in ARM-based Windows devices as well as the benefits and challenges organizations expect to experience from utilizing them.

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  • As organizations today face pressure to boost their productivity and scale while efficiently optimizing resources, they are increasingly utilizing cloud services to deliver cloud-native applications. In recognition of the impact of security incidents on their cloud-native applications, cybersecurity teams need to look for ways to gain unified visibility and control to efficiently manage risk and rapidly respond to attacks by incorporating security into DevOps processes (DevSecOps) and utilizing cloud security platforms. Enterprise Strategy Group recently surveyed IT, cybersecurity, and application development professionals to gain insights into these trends.

    To learn more, download the free infographic, The State of DevSecOps and Cloud Security Platforms.