Insight

  • 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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  • Organizations increasingly demand intelligent, autonomous analytics to overcome data silos and slow decision-making, seeking proactive solutions beyond static reports. Qlik’s new agentic experience addresses this by providing an AI framework with specialized agents that reason, plan, and initiate actions, enabling customers to integrate their own agents for streamlined data-to-decision workflows.

    To learn more, download the free brief, Moving Beyond Conversational Analytics With Qlik’s Agentic Experience.

  • 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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  • Demands for breakneck speed in application development certainly aren’t going away in increasingly competitive business environments. However, teams that do so at the expense of robust cybersecurity practices threaten the viability of their organization when a successful attack on any application can compromise the business. Recent research by Enterprise Strategy Group investigated how organizations are incorporating security into application development processes, especially amid rapid cloud-native application development conditions.

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  • IT professionals, application developers, and cybersecurity teams all play critical roles in ensuring timely and secure development and deployment of cloud-native applications. However, these teams do not always have the same perspective on the practices, roles, and tool strategies that will best accomplish those goals. Recent research by Enterprise Strategy Group revealed the differences in how these groups perceive DevOps and DevSecOps processes at their organizations today.

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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.

  • 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.