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Data Management, Analytics & AI

  • Rethinking Database Requirements in the Age of AI

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    Stephen Catanzano

    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.

    Download Now

  • Digital Transformation Pioneers Set Their Sights Squarely on AI

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    Mike Leone

    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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  • Rethinking Database Requirements in the Age of AI

    ·

    Stephen Catanzano

    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.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.

  • Enterprises Tap GenAI Partners as Challenges Mount

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    Mike Leone

    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.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.

  • Major Industries Go All-in on GenAI Vendor and Service Provider Partnerships

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    Mike Leone

    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.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.

  • Mitigating Customer Service Tool Sprawl With AI

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    Mike Leone

    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.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.

  • Using AI to Optimize Customer Experience Strategies

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    Mike Leone

    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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  • Navigating Build-versus-buy Dynamics for Enterprise-ready AI

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    Mike Leone

    Massive data volumes, data privacy and security concerns, rising costs for high-performance infrastructure, advanced skill requirements, and other challenges make AI implementation a complex endeavor. Organizations want a solution that can improve the time to value but need assurances they can rapidly scale to meet the wider needs of the business. This fuels the debate of whether to build custom AI solutions or leverage third-party, pre-integrated solutions. TechTarget’s Enterprise Strategy Group recently surveyed technical and business stakeholders involved with AI initiatives and projects to gain insights into these trends.

    To learn more about these trends, download the free infographic, Navigating Build-versus-buy Dynamics for Enterprise-ready AI. 

    Download Now

  • Navigating Build-versus-buy Dynamics for Enterprise-ready AI

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    Mike Leone

    This Complete Survey Results presentation focuses on AI adoption, maturity, data management, integration, and investment levels; enterprise-ready AI requirements, purchase factors, key metrics, and procurement preferences; and perceptions of hybrid AI.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.

  • Navigating Build-versus-buy Dynamics for Enterprise-ready AI

    ·

    Mike Leone

    As organizations pursue AI, the path to success is filled with challenges. Massive data volumes, data privacy and security concerns, rising costs for high-performance infrastructure, advanced skill requirements, and other challenges make AI implementation a complex endeavor. Organizations want a solution that can improve the time to value but need assurances they can rapidly scale to meet the wider needs of the business. This fuels the debate of whether to build custom AI solutions or leverage third-party, pre-integrated solutions.

    This decision ultimately depends on the specific needs and goals of each organization. Some may find that building a custom solution is worth the investment in talent and best-of-breed infrastructure that provides greater flexibility and control. Others may prioritize simplicity, time to market, and time to value with a pre-integrated solution. Regardless of which approach organizations choose, they must consider critical factors for successful AI implementations, including the level of expertise and available resources within the organization, data privacy and security requirements, and the long-term scalability needs of the business.

    To gain further insight into these trends, Enterprise Strategy Group surveyed 376 technical and business stakeholders at organizations in North America (U.S. and Canada) involved with or responsible for the strategy, decision-making, selection, deployment, and management of AI initiatives and projects.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.

  • Q4 2024 Activity Trends: What’s Driving Growth Across the Informa 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 (July 2024 – December 2024) in five (5) regions across the Informa 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 Informa 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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  • Assessments Are Underway as Organizations Examine the Impact of GenAI

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    Mike Leone

    As organizations settle into a range of generative AI (GenAI) use cases, teams are getting assessments underway to measure whether deployments are successful and meeting expectations. Research by TechTarget’s Enterprise Strategy Group looked into how organizations are monitoring the progress of their GenAI initiatives as they seek productivity gains and business value that exceed expectations.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.