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Data Management, Analytics & AI

  • Data Complexity Inhibits Large Midmarket Organizations Along Their AI Journey

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    Stephen Catanzano

    Although teams across industries are eager to unlock the potential of AI within their businesses and operations, they regularly run into roadblocks in integration complexity, data source utilization, and data quality and trust. Recent research by Enterprise Strategy Group, now part of Omdia, revealed that some of these issues might be correlated to organizational size as they are often more acute for certain groups.

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  • Emerging Databases Prompt Extensive Due Diligence

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    Stephen Catanzano

    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

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    Stephen Catanzano

    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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  • Pre- and Post-launch AI Assessments Surge as Organizations Assess Fit and Function

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    Mike Leone

    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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  • AI Investments Continue as Organizations Chase Benefits and Address Challenges

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    Mike Leone

    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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  • Major Industries Set Their Sights on Responsible AI

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    Mike Leone

    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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  • Organizations Continue Their Journey Toward Holistic, Proactive Responsible AI

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    Mike Leone

    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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  • 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.

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  • 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.

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  • 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.

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  • 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.

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