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Data Management, Analytics & AI

  • 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

  • Q3 2024 Activity Trends: What’s Driving Growth Across the TechTarget & BrightTALK Network

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    Corey DeFreese

    Discover what’s trending on our network to engage IT buyers in market now and improve marketing and sales effectiveness. This report covers trending areas of interest across 240+ IT markets over the last 6 months (April 2024 – September 2024) in five (5) regions across the TechTarget & BrightTALK network: WW, NA, EMEA, APAC, LATAM. In this report you will find:

    ·The top 20 broad technology markets driving the most activity in the past 6 months. Activity data can help show where audience research is growing or declining and therefore help reinforce which markets are on the rise or declining.

    ·The top 25 granular topics growing the most across the TechTarget and BrightTALK network in the last 6 months. This gives insight into the content areas that are on the rise right now to leverage in your conversations.

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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, and many organizations struggle to stay abreast of the ever-evolving landscape. Which model is best for our use case? How can we incorporate our own data? How can we get started with responsible AI? Moreover, implementing and scaling GenAI solutions demands substantial computational resources and robust IT infrastructure. These factors coupled with the need to comply with data privacy regulations and AI ethics norms are creating a troubling scenario for organizations that want to leverage this powerful technology but need help getting started and eventually scaling its use within the business.

    The growing partner ecosystem plays a crucial role in supporting GenAI, especially as organizations rapidly ramp up initiatives. Many organizations rely on partners to bridge skill gaps and navigate the intricacies of GenAI development. This collaborative approach not only addresses the need for expertise but also fosters a learning environment, allowing organizations to upskill their teams.

    To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 382 professionals at organizations in North America (US and Canada) involved in the strategy, decision-making, selection, deployment, and management of generative AI initiatives and projects at their organization and familiar with their organization’s use of third parties to support generative AI initiatives.

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  • Navigating the Generative AI Partner and Alliance Landscape

    ·

    Mike Leone

    This Complete Survey Results presentation focuses on generative AI adoption drivers, capabilities, prioritization, investment, stakeholders, metrics delivery methods, challenges, skills, partner types, and partner engagement and collaboration trends.

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  • Rethinking Database Requirements in the Age of AI

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    Stephen Catanzano

    This Complete Survey Results presentation focuses on database adoption trends, emerging database considerations, evaluation and purchase criteria, database management challenges, vector trends, RAG trends, database strategies to support GenAI initiatives, stakeholders, governance, and cloud database trends.

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  • The State of the Generative AI Market: Widespread Transformation Continues

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    Mark Beccue

    Generative AI (GenAI) has taken the world by storm since OpenAI introduced ChatGPT in late 2022, and it is widely considered one of the most potentially transformative technologies in many years. However, GenAI technology and the market ecosystem are evolving quickly, and many organizations are struggling to stay abreast of the constantly changing landscape. TechTarget’s Enterprise Strategy Group recently surveyed professionals involved in generative AI initiatives at their organizations to gain insights into these trends.

    To learn more about these trends, download the free infographic, The State of the Generative AI Market: Widespread Transformation Continues.

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  • The State of the Generative AI Market: Widespread Transformation Continues

    ·

    Mark Beccue

    Generative AI (GenAI) has taken the world by storm since OpenAI introduced ChatGPT in late 2022, and it is widely considered one of the most potentially transformative technologies in many years. However, GenAI technology and the market ecosystem are evolving quickly, and many organizations are struggling to stay abreast of the constantly changing landscape. As this nascent market emerges, organizations continue to seek guidance to help steer their deployments, asking: What are the emerging best practices? Which use cases are prevailing? How mature is the market, and how is this maturity defined? Is it best to build, buy, or partner? The ever-evolving nature of the answers to these questions creates a complex scenario for organizations that want to leverage GenAI technology.

    To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 832 professionals at organizations across the globe involved in the strategy, decision-making, selection, deployment, and management of generative AI initiatives and projects at their organization and familiar with their organization’s use of third parties to support generative AI initiatives.

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  • Navigating Data Governance in the Age of AI

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    Stephen Catanzano

    Data from across organizational frameworks is pouring into AI tools and supportive components like LLMs, spawning increasing scrutiny driven by regulatory, compliance, and corporate governance requirements. To address these challenges, organizations are turning to data governance tools to help them carefully inspect, monitor, and manage data, especially in the face of widespread AI strategies and initiatives. TechTarget’s Enterprise Strategy Group recently surveyed data and IT professionals responsible for evaluating, purchasing, and managing data governance solutions and services to gain insights into these trends.

    To learn more about these trends, download the free infographic, Navigating Data Governance in the Age of AI.

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  • Navigating Data Governance in the Age of AI

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    Stephen Catanzano

    As a rapidly rising number of organizations across markets position data squarely at the heart of their business, data governance becomes a top priority amid regulations designed to ensure data privacy and security. Efforts to implement strong data governance and data quality are more difficult than ever as AI initiatives lean heavily on data to meet expectations for drastically improved processes and competitive advantages. Data from across organizational frameworks is pouring into AI tools and supportive components, including large language models (LLMs) and foundational models (FMs), spawning even more scrutiny driven by regulatory, compliance, and corporate governance requirements.

    To address these challenges, organizations are turning to data governance tools to help them carefully inspect, monitor, and manage data, especially in the face of widespread AI strategies and initiatives. To gain further insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 318 data and IT professionals at organizations in North America (US and Canada) involved with or responsible for evaluating, purchasing, and managing data governance solutions and services.

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