Insight

  • Organizations are moving forward with generative AI (GenAI) cluster networks, taking action to ensure their network infrastructure will support these deployments and that they can manage them within existing platforms. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated how teams are supporting these networks with the required monitoring and management today.

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  • Networking teams just about everywhere are exploring how AI can boost efficiency while also contending with new operational challenges brought about by the technology. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed that perceptions around AI’s impact on enterprise networks differ by region, likely driven by the prevalence of more advanced infrastructure and strategies in areas like North America.

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  • Emerging Databases Prompt Extensive Due Diligence

    As important pieces of infrastructure supporting analytics and AI initiatives, databases are seeing renewed attention by IT teams today. Recent research by Informa TechTarget’s Enterprise Strategy Group found that organizations are considering a wide range of factors for emerging databases, analytics databases, and data models.

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  • Organizations Assemble GenAI Use Cases for Databases

    Organizations continue to race ahead with exciting GenAI use cases, and database teams are busily modifying and tuning the core infrastructure these efforts rely on. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated today’s top GenAI use cases that are proliferating across a range of database types.

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  • Organizations investing in AI are implementing comprehensive value assessments both during deployment and after launch. While this strategy strives to ensure AI solutions continue to align to business objectives and deliver on their promised value, the resulting sprawl of performance and value metrics may be overcomplicating the process of finding full-stack AI solutions. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed that teams may have trouble finding satisfactory AI platforms as their requirements sprawl.

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  • Organizations are continuing a flurry of investments in AI, often spurred by ongoing enthusiasm around generative AI initiatives and their potential to radically improve operational efficiency and productivity. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed that teams will sometimes find themselves paradoxically having to apply some of these investments to specific issues introduced by AI deployment.

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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 (GenAI). But to reach the AI promised land, many organizations must invest in significant new compute infrastructure to 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. TechTarget’s Enterprise Strategy Group recently surveyed network professionals to gain insight into these trends.

    To learn more about these trends, download the free infographic, Architecting the Network for an AI-powered World.

  • This month, HPE announced the 12th generation of its ProLiant server family with eight new systems featuring enhanced performance, sustainability features, integrated security, and AI-based management. With data-intensive applications such as artificial intelligence (AI) redefining demands on compute, HPE continues to separate itself from its more commodity-centric competition.

    To learn more, download the free brief, HPE ProLiant Compute Gen12 Enhances Security and Efficiency for the AI Era.

  • Major Industries Set Their Sights on Responsible AI

    Against a backdrop of AI excitement and continuous rollouts of new large language models, organizations are contending with the critical balance of innovation and responsible AI, including strategies for data privacy, bias mitigation, compliance, ethical usage, and more. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed that, although most organizations are making progress in ensuring AI is used ethically and responsibly, different industries vary widely on their approaches.

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  • Even moderate AI usage within an organization warrants a responsible AI strategy supported by technical stakeholders and foundational policies, but recent research by Informa TechTarget’s Enterprise Strategy Group found that certain teams generally have more comprehensive practices for responsible AI than others. Using those organizations as a model for responsible AI development can help other teams get their operations in order as they roll out more initiatives that expose the business to greater risk in the event of unethical or noncompliant AI use.

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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, enabling flexible, secure, and efficient delivery of Windows applications and desktops to end users. 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. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals to gain insights into these trends.

    To learn more about these trends, download the free infographic, VDI and DaaS Trends in the Hybrid Digital Workplace.

  • Rethinking Database Requirements in the Age of AI

    The growing use of generative AI (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 retrieval-augmented generation (RAG) for processing AI data, and organizations are seeking databases designed to get the most out of their data. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals to gain insights into these trends.

    To learn more about these trends, download the free infographic, Rethinking Database Requirements in the Age of AI.