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Data Management, Analytics & AI

  • Generative AI Expansion Reveals Heavy Use of Large Language Models and Customization

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    Mike Leone

    As generative AI (GenAI) barrels forth within organizations across numerous use cases, teams are ramping up their use of large language models (LLMs) to support these initiatives. Whether developed internally or with the expertise of specialized third parties, these models are helping organizations to streamline, scale, and customize their GenAI initiatives. Research by TechTarget’s Enterprise Strategy Group uncovered the modes by which professionals are engaging today with LLMs to achieve their GenAI goals.

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  • Amazon SageMaker HyperPod: Crucible for Enterprise-developed Foundation Models

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    Mark Beccue

    Training foundation models is very time-consuming and expensive and is largely limited to the creators of the models. Enterprises want a great deal more control over models they use. Amazon SageMaker HyperPod was created by AWS in consultation with its customers to address some of these issues. One of the most intriguing trends to develop since HyperPod was introduced is enterprise-developed foundation models.

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  • 2025 Technology Spending Intentions Survey

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    Christian Perry

    This Complete Survey Results presentation focuses on 2025 IT budget expectations, technology initiatives and priorities, year-over-year spending changes (overall and by different technologies), overall technology and business drivers for IT investments, skill shortages, and application deployment trends.

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  • 2025 Technology Spending Intentions

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    Christian Perry

    Persisting macroeconomic uncertainty is not dampening IT investment plans as organizations rush to outfit their environments with the transformative potential of AI while ensuring their valuable data—data inevitably fed into large language models—is kept secure. To track these trends, Informa TechTarget’s Enterprise Strategy Group surveyed senior IT and business decision-makers to ascertain IT budget outlooks for 2025, both overall and for specific technologies, and to determine the key business and technology priorities driving these spending plans.

    To learn more about these trends, download the free infographic, 2025 Technology Spending Intentions Survey.

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  • 2025 Technology Spending Intentions Survey

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    Christian Perry

    Persisting macroeconomic uncertainty is not dampening IT investment plans as organizations rush to outfit their environments with the transformative potential of AI while ensuring their valuable data—data inevitably fed into large language models—is kept secure. To track these trends, Informa TechTarget’s Enterprise Strategy Group surveyed 1,351 senior IT and business decision-makers to ascertain IT budget outlooks for 2025, both overall and for specific technologies, and to determine the key business and technology priorities driving these spending plans. Survey respondents were employed at midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America, EMEA, APAC, and Latin America. All respondents were personally responsible for or familiar with their organization’s 2024 IT spending, as well as their 2025 IT budget and spending plans at either an entire organization level or a business unit, division, or branch level.

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  • Data Governance Strategies Evolve as AI Spreads

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    Stephen Catanzano

    Organizations take numerous steps to address ethical considerations and bias in their data usage, reflecting a wide-reaching understanding that data cannot be used without barriers. However, the blinding speed of data-hungry AI deployments pressures these efforts to be implemented and executed efficiently. Research by TechTarget’s Enterprise Strategy Group investigated how organizations are addressing data governance for AI amid these dynamics.

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  • EU Artificial Intelligence Act Emergence Exposes Gaps in Regulatory Preparation

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    Stephen Catanzano

    IT and data teams are under pressure to snap their operations into compliance with the EU Artificial Intelligence Act, which went into effect August 1, 2024. The EU AI Act serves several purposes, including outlining requirements and obligations around specific uses of AI for both AI developers and deployers. Research by TechTarget’s Enterprise Strategy Group investigated organizations’ awareness of and plans for compliance with this new regulation in the era of booming AI initiatives.

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  • The Impact of GenAI on the Evolution of Customer Service and Support Technologies

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    Brian McKenna

    Customer service is a hard job, whether in a contact center or in the field or in a store. Organizations face an ongoing challenge of recruiting, developing, and retaining customer service employees, and they are looking to cutting-edge technologies like generative AI (GenAI) for help. The use of AI and other advanced technologies for customer service is a classic case of combining technology with people and processes to solve problems. TechTarget’s Enterprise Strategy Group recently surveyed IT and customer service professionals to gain insights into these trends.

    To learn more about these trends, download the free infographic, The Impact of GenAI on the Evolution of Customer Service and Support Technologies.

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  • The Impact of GenAI on the Evolution of Customer Service and Support Technologies

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    Brian McKenna

    Customer service is a hard job, whether in a contact center or in the field or in a store. This industry employs millions around the world but has a notoriously high turnover rate. It follows then that companies and other organizations face an ongoing challenge of recruiting, developing, and retaining customer service employees. Employers need to balance efficiency and empathy, with respect to both employee and customer experience (CX), and they are looking to cutting-edge technologies like generative AI (GenAI) for help.

    CX currently experiences a deficit at a business-strategy level compared with business applications such as ERP and SCM. The use of AI and other advanced technologies for customer service is a classic case of combining technology with people and processes to solve problems.

    To further assess and understand current customer service and experience strategies and how GenAI is used to support these efforts, TechTarget’s Enterprise Strategy Group surveyed 375 IT and customer service professionals at midmarket and enterprise organizations in North America (US and Canada).

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  • The Impact of GenAI on the Evolution of Customer Service and Support Technologies

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    Brian McKenna

    This Complete Survey Results presentation focuses on the extent to which organizations are experimenting with GenAI in support of their customer service and experience efforts, including the scale and scope of the opportunities and challenges likely to be created by the use of GenAI.

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  • Navigating the Generative AI Partner and Alliance Landscape

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    Mike Leone

    Understanding and applying generative AI (GenAI) requires a deep technical knowledge base, substantial computational resources, robust IT infrastructure, and even compliance with data privacy regulations and AI ethics norms. Many organizations struggle to stay abreast of this ever-evolving landscape. The growing partner ecosystem plays a crucial role in supporting GenAI, with many organizations relying on partners to bridge skill gaps and navigate the intricacies of development. TechTarget’s Enterprise Strategy Group recently surveyed professionals involved in GenAI initiatives and projects at their organization and familiar with their organization’s use of third parties to support GenAI initiatives to gain insights into these trends.

    To learn more about these trends, download the free infographic, Navigating the Generative AI Partner and Alliance Landscape.

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  • AI-led Complexities of the Data Management and Governance Markets

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    Stephen Catanzano