Insight

  • Digital transformation (DX) initiatives are continuing, but they are beginning to take on a new shape with the arrival of widespread AI deployments. Recent research by Informa TechTarget’s Enterprise Strategy Group uncovered some of the key practices of organizations with mature DX initiatives, which those in the earlier stages of digital transformation can learn from to understand where IT pioneers are headed.

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  • Cloud Business Resilience With Commvault Cloud Rewind

    In 2025, strengthening cyber resilience and improving cyber recovery dominate nearly every IT priority list, typically surpassing even artificial intelligence in importance. In an era defined by distributed application and data environments along with increasingly sophisticated cyberthreats, traditional protection and recovery techniques have become too bulky to keep pace.

    To learn more, download the free brief, Cloud Business Resilience With Commvault Cloud Rewind.

  • The evolving cybersecurity landscape; requirements to incorporate emerging technologies, such as AI, high data volumes, and digital transformation initiatives; and a variety of other factors weigh down IT operations with complexity at many organizations today. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated how organizations battling the worst of IT complexity are planning their spending in 2025 to combat the problem.

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  • As organizations across industries work to modernize their environments with the help of AI, internal shortages of necessary skills are becoming apparent for many. These circumstances are arising alongside long-time skill shortages in cybersecurity that have yet to be resolved. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated the links between the most critical skill gaps organizations face today and firmographic features, such as operating region and cloud policies.

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  • Architecting the Network for an AI-powered World

    This Complete Survey Results presentation focuses on the impact of AI and generative AI (GenAI) on networks and network projects, challenges with GenAI cluster networks, monitoring and management of GenAI cluster networks, stakeholders involved, and future spending plans for these initiatives.

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  • Architecting the Network for an AI-powered World

    Enterprise IT stands on the threshold of one of the greatest evolutionary changes in decades with the arrival and expansion of AI and its fast-growing variant, generative AI. These technologies hold the potential to revolutionize applications and services, taking the businesses they support to new levels of efficiency and profitability.

    But to reach the AI promised land, many organizations must invest in significant new compute infrastructure and ensure their networks are ready to play their essential role in supporting AI initiatives. AI-driven network upgrades must deliver increased speed, high throughput, and low latency, both within GenAI computing clusters and across the entire enterprise so that AI inferencing can be distributed as far out to the edges as necessary.

    To gain further insight into these trends, Enterprise Strategy Group surveyed 370 network professionals at organizations in North America (US and Canada), Western Europe, and the Asia Pacific involved with building and managing network technology and processes.

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  • Rethinking Database Requirements in the Age of AI

    The growing use of GenAI is changing how businesses manage operations and make decisions. Databases are becoming the core infrastructure of AI-based projects, providing the foundation for use cases that require efficiency and accuracy. It’s now a necessity to use cutting-edge tools such as vector and RAG for processing AI data, and organizations are seeking databases designed to get the most out of their data. However, organizations innately proceed into this realm with different internal capabilities and maturity levels for their database strategies, which prompts variation in priorities and processes.

    To gain further insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 358 IT professionals at organizations in North America (US and Canada) involved with or responsible for the database technologies, processes, and programs used to manage their organization’s data.

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  • Enterprises Tap GenAI Partners as Challenges Mount

    Enterprises (1,000+ employees) are turning to generative AI (GenAI) for wide-ranging strategic benefits, but they’re far more likely to encounter certain challenges than large midmarket (500 to 999 employees) in these endeavors, according to research by Informa TechTarget’s Enterprise Strategy Group. A recent study found that although both large and smaller organizations engage with partners regularly to overcome GenAI project challenges, enterprise-size firms tend to need vendors’ support in specific crucial areas in their pursuit of large-scale transformation.

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  • All major industry verticals are moving forward with generative AI (GenAI) deployments to capture competitive differentiation from cutting-edge technology. Since skill sets and resources for development vary widely from industry to industry, and even organization to organization, many firms are active in partnering with outside vendors and service providers for technology deployment, strategy guidance, and other expertise pertaining to GenAI. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed some interesting findings when it comes to how different industries tackle GenAI initiatives and subsequent third-party engagements in support of those projects.

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  • Mitigating Customer Service Tool Sprawl With AI

    The proliferation of customer-centric systems, tools, and applications within businesses is daunting, especially when undermining goals of operational speed, agility, and efficiency. This extends to customer service (CS) operations, which increasingly supports overarching customer experience initiatives. Recent research by Informa TechTarget’s Enterprise Strategy Group explored how organizations harness the power of generative AI (GenAI) to mitigate the potentially negative effects of having distributed and/or siloed CS applications and tools throughout a business.

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  • Using AI to Optimize Customer Experience Strategies

    Customer experience (CX) strategies are often at the heart of competitive differentiation today. From personalized experiences and top-notch customer service (CS) to ensuring trust and process efficiency, many businesses recognize the importance of supercharging CX practices to maintain customer loyalty and improve customer acquisition. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated how organizations view and act on the opportunity to augment and improve CX strategies by using cutting-edge AI technology that drives automation and other improvements.

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  • VDI and DaaS Trends in the Hybrid Digital Workplace

    As organizations continue to evolve their digital workspace strategies, desktop and application virtualization remain mission-critical components of IT and business operations. They enable flexible, secure, and efficient delivery of Windows applications and desktops to end users regardless of where they are or what device they’re using. From geographically dispersed user bases to manufacturing and healthcare settings, desktop virtualization remains an important—though often taken for granted—component of IT.

    That said, the way these technologies are deployed is shifting: DaaS adoption is increasing, as are hybrid models that spread workloads out across multiple infrastructures and locations. Despite this, traditional infrastructure investments are still increasing due largely to Windows applications and an increasingly diverse endpoint environment.

    Even with the proliferation of browser-based applications, Windows applications remain in use at a large scale. Organizations need to find a way to deliver and manage these Windows applications that accommodates the use cases, the end users, and the applications themselves while aligning these efforts with the business’s overall goals, which often include security, cost optimization, IT resource utilization, and end-user productivity.

    To gain further insights into these trends, Informa TechTarget’s Enterprise Strategy Group surveyed 377 IT professionals at midmarket and enterprise organizations in North America (US and Canada) involved with end-user computing technology and processes. These organizations were required to be current users of some form of desktop or application virtualization.

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