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Data Management, Analytics & AI

  • 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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  • Q2 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 (January 2024 – June 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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  • Evaluating the Pillars of Responsible AI

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    Mike Leone

    Amid the breakneck pace of AI integration into nearly every facet of today’s businesses, organizations increasingly face the difficult challenge of ensuring responsible AI use across their entire ecosystems. Effective policies and strategies ultimately comprise a host of crucial considerations with data used in AI models and technologies, including accountability, transparency, accuracy, security, reliability, explainability, bias, fairness, privacy, and others. TechTarget’s Enterprise Strategy Group recently surveyed professionals involved in the strategy, decision-making, selection, deployment, and management of AI initiatives and projects to gain insights into these trends.

    To learn more about these trends, download the free infographic, Evaluating the Pillars of Responsible AI.

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  • Evaluating the Pillars of Responsible AI

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    Mike Leone

    Amid the breakneck pace of AI integration into nearly every facet of today’s businesses, organizations increasingly face the difficult challenge of ensuring responsible AI use across their entire ecosystems. Creating robust, comprehensive policies that ensure AI technologies are developed and used ethically and responsibly is now a top priority, even for organizations still in the early stages of AI deployments. Effective policies and strategies ultimately comprise a host of crucial considerations with data used in AI models and technologies, including accountability, transparency, accuracy, security, reliability, explainability, bias, fairness, privacy, and others.

    Without effective responsible AI strategies, organizations risk numerous impacts to their businesses and processes, ranging from reputational damage and legal consequences to increased costs and slower time to market. While the need for responsible AI is clear, execution is a challenging endeavor for most organizations as they work to keep pace with a fast-moving market, as well as stay ahead of evolving regulations that increasingly define the overall use of AI. To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 374 professionals at organizations in North America (US and Canada) involved in the strategy, decision-making, selection, deployment, and management of artificial intelligence initiatives and projects.

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  • Data Resilience Emerges: The Collision of Data Discovery, Protection, Security, and Governance

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    Jon Brown

    This Complete Survey Results presentation focuses on the volume and distribution of sensitive data, the most important data to protect, the automation of sensitive data discovery, data classification strategies, data-resilience perceptions and strategies, data security posture management strategies, data-resilience stakeholders, and spending plans.

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  • AI Use Cases Blossom Across Industries

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    Mike Leone

    Across all major industries, leadership teams are chartering their departments with pursuing AI to improve key business processes. Recent research by TechTarget’s Enterprise Strategy Group revealed that different industries are looking to AI to address diverse use cases depending on the dynamics of their business operations, core trade considerations, commerce styles, and other factors.

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  • Business Intelligence Set to Rise With Stakeholder Enablement

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    Mike Leone

    Across the highly competitive markets of the modern day, businesses look to technology to augment their teams with any edge or advantage available. Recent research by TechTarget’s Enterprise Strategy Group revealed that although business intelligence (BI) tools hold immense potential to supercharge operations and decision-making, employee usage of these technologies has been slow to date.

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  • Generative AI Becomes an Analytics and Business Intelligence Game Changer

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    Mike Leone

    Generative AI (GenAI) use is on the strategic charter of business lines across organizations and industries. Recent research by TechTarget’s Enterprise Strategy Group found that the space of business intelligence (BI) is no different, with decision-makers planning for robust GenAI usage that promises to boost engagement in analytics tools that supply crucial business insights.

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  • Emily Marsh

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    Christian Perry