Artificial Intelligence

  • Wi-Fi Evolution: WLAN in the Age of AI

    While much of the technology underpinning wired enterprise networks is mature, the same cannot be said about wireless networks, which continue to change and evolve. Nowhere else is this more evident than within Wi-Fi standards, which endured three major updates in the past 10 years alone, moving from Wi-Fi 5 to Wi-Fi 6 and 6E, and now on to Wi-Fi 7. Each iteration brings new capabilities but also new challenges that can prevent network teams from obtaining the full value of the upgrade. Enterprise Strategy Group recently surveyed networking professionals to gain insights into these trends.

    To learn more, download the free infographic, Wi-Fi Evolution: WLAN in the Age of AI.

  • Wi-Fi Evolution: WLAN in the Age of AI

    While much of the technology underpinning wired enterprise networks has stabilized and matured, the same cannot be said about wireless networks, which continue to change and evolve. Nowhere else is this more evident than within Wi-Fi standards, which endured three major updates in the past 10 years alone, moving from Wi-Fi 5 to Wi-Fi 6 and 6E, and now on to Wi-Fi 7. Each iteration brings not only new capabilities and features, but also new challenges that can prevent network teams from obtaining the full value of the upgrade. Important new initiatives such as AI and IoT are adding urgency to upgrades, driving efforts to ensure new applications can achieve full potential where wireless LAN technologies are involved.

    To gain further insight into these trends, Enterprise Strategy Group surveyed 370 networking professionals at organizations with 500 or more employees in North America (U.S. and Canada) involved with or responsible for building and managing wireless network technology and processes at their organization.

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  • Wi-Fi Evolution: WLAN in the Age of AI

    This Complete Survey Results presentation focuses on Wi-Fi deployment drivers and objectives; features and functions for Wi-Fi 6, 6E, and 7; concerns with Wi-Fi upgrades; LAN and WAN expansions; management and monitoring integration; private 5G and comparisons with Wi-Fi; and budgets.

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  • This Complete Survey Results presentation focuses on the current trends in endpoint management and security, including the approaches taken and challenges experienced by organizations, as well as the desire to consolidate management and security technologies and processes.

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  • End Users Who Lack AI Guidance Elevate Risk

    End users across industries are inspired by and curious about the possibilities of using AI to help them do their jobs more efficiently. However, organizations find themselves at varying levels of harnessing that enthusiasm while properly accounting for AI use risks like cybersecurity and inaccurate results. Recent research by Enterprise Strategy Group investigated how end users are experiencing the rollout and support of AI initiatives at their organizations and found that many teams are leaving their businesses open to risk.

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  • Organizations seeking to successfully implement AI, particularly AI agents, must prioritize solutions that offer robust safety controls and compliance integration to mitigate risks. Microsoft makes its case to be the AI safety vendor of choice with Azure AI Foundry.

    To learn more, download the free brief, Microsoft Azure AI Foundry Adds Sophisticated Risk Controls.

  • Organizations continue to face increasing complexity in endpoint management and security that is driven by the rapid expansion of remote work, rising device and OS sprawl, vulnerability management and incident response challenges, and continuing threats like ransomware. At the same time, the growing influence of AI and automation is reshaping both offensive and defensive strategies—empowering defenders with new tools while enabling bad actors to launch more sophisticated attacks.

    To gain further insight into these trends, how organizations are attempting to overcome challenges, and the results of their efforts, Enterprise Strategy Group surveyed 364 IT and cybersecurity professionals in North America (U.S. and Canada) responsible for evaluating, purchasing, and managing endpoint management and/or security technologies.

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  • Challenged by the often-competing demands of the modern organization, many IT leaders are looking to modernize their infrastructure, especially as they look to take advantage of the AI opportunity. The timing of Lenovo’s latest—and comprehensive—set of updates to its storage infrastructure portfolio therefore couldn’t be better. Of particular note are the investments the company is making to create integrated solutions aimed at helping enterprises make a fast start around AI, as well as optimize their virtualization environments.

    To learn more, download the free brief, Lenovo’s Extensive Storage Refresh Takes Aim at AI With Solution-oriented Focus.

  • Extreme Connect: Fabric Switching and AI

    At Extreme Connect 2025 in Paris, the top-level theme was about the company’s new, AI-native Extreme Platform ONE solution. And while that is a powerful story in and of itself, another important subtheme emerged around the success its customers are having with Extreme Fabric, a Layer 2 simplified fabric based on Shortest Path Bridging (SPB) that enables network and security automation across campus, branch, and data center.

    To learn more, download the free brief, Extreme Connect: Fabric Switching and AI.

  • What does it mean to be ready for AI agents? Having a full understanding of and access to all of your data, with strong data governance, security, and data quality, is critical for AI success. The challenge to effectively empower employees and the business to utilize the mountain of unstructured data plagues many organizations, and now with the critical need to use this data as a foundation for AI use cases across the business, there is a hyperfocus on data readiness for AI. Glean, a leader in enterprise search and AI agents, is quickly enabling its customers to take advantage of AI agents for every employee and line of business. The strategy of implementing enterprise search to help build the data foundation for AI is one that organizations should strongly consider.

    To learn more, download the free brief, Glean Empowers Enterprises to Deliver AI Agents at Scale, Built on Their Existing Data Foundation.

  • 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.

  • 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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