This Complete Survey Results presentation focuses on 2024 IT budget expectations, technology initiatives and priorities, year-over-year spending changes (overall and by different technologies), cloud usage trends, and how digital transformation initiatives intersect with these considerations.
Data Management, Analytics & AI
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Ransomware is widely considered a critical and existential threat to the viability of any business. Given the high frequency of attacks and the impacts of successful ones such as data loss, many organizations are left with damages that have an effect well beyond IT. Attackers often undermine key infrastructure components and expose significant gaps, so IT leaders must focus on protecting and further leveraging their backup and recovery infrastructure to remove risk and minimize business impact.
To learn more about these trends, download the free infographic, Ransomware Preparedness: Lighting the Way to Readiness and Mitigation.
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For most organizations, data is no longer only one of many elements that contribute to the success of business initiatives. On the contrary, data increasingly is the business, wielding formidable influence and power across numerous factors. In turn, organizations are investing significant resources into the development of DataOps strategies that formalize parts and processes inherent to the data pipeline.
To learn more about these trends, download the free infographic, The State of DataOps: Unleashing the Power of Data.
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For most organizations, data is no longer only one of many elements that contribute to the success of business initiatives. On the contrary, data increasingly is the business, wielding formidable influence and power across numerous factors, including the ability to rapidly make informed business decisions. In turn, organizations are investing significant resources into the development of DataOps strategies that formalize parts and processes inherent to the data pipeline and help to build collaboration between stakeholders across the ecosystem. Data-centric challenges are extensive within any team connected to the organization’s data pipeline, including data producers, engineers, developers, and users. These challenges ultimately drive the adoption and use of technologies and processes designed to satisfy both common and unique data requirements.
To examine the state of DataOps in today’s organizations, Enterprise Strategy Group surveyed 361 data professionals in North America (US and Canada) involved with modern data and analytics tooling, technology, and processes.
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TechTarget and Enterprise Strategy Group ran a global survey examining where buyers source information throughout their purchase journey. New this year! Buyer perceptions on AI-generated content.
This report focuses on responses from 600+ global technology buyers in across IT management and senior business roles.
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Organizations are excited by the promise of AI, but they frequently find themselves lacking the in-house expertise and resources needed to fully harness AI’s potential. Recent research by TechTarget’s Enterprise Strategy Group revealed some interesting findings when it comes to what these organizations expect from AI vendors and the broader AI partner ecosystem.
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TechTarget and Enterprise Strategy Group ran a global survey examining where buyers source information throughout their purchase journey. New this year! Buyer perceptions on AI-generated content.
This report focuses on responses from 343 North American technology buyers in across IT management and senior business roles.
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.
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Data rules the business world today, from enabling new levels of personalization to providing intelligence on the next product roadmap. But the fact that high volumes of sensitive data, such as personally identifiable information, are often stored and used for businesses purposes puts both users and IT decision makers on edge in light of prominent cyber-attacks. Recent research by TechTarget’s Enterprise Strategy Group revealed some interesting correlations when it comes to the amount of sensitive data organizations store and certain firmographic characteristics such as company size and industry.
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The artificial intelligence movement over the last several years has been enabled by the exponential growth in computing power, data, algorithms, and use cases. As AI is increasingly integrated across industries, AI infrastructure decisions have become pivotal to support widespread deployment as well as the need to satisfy resource-heavy AI workloads. Recent research by TechTarget’s Enterprise Strategy Group found that a range of factors are now top of mind for executives shaping their AI strategies.
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In an era where the effective use of AI technology can mean sinking or swimming in highly competitive business waters, organizations are laser-focused on making sure their AI models are fine-tuned and well trained to enhance their operations. But training AI algorithms on real customer data can risk compliance and privacy violations. Recent research by TechTarget’s Enterprise Strategy Group examined how organizations are using synthetic data to avoid data governance problems with AI training and whether this is delivering the anticipated advantages.
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As businesses across the globe pursue AI to revolutionize their businesses, the powerful infrastructure required to support these innovations and transformations is driving an increased focus on responsible purchase strategies. Recent research by TechTarget’s Enterprise Strategy Group revealed that sustainability concerns are taking center stage as organizations grow their AI infrastructure initiatives and footprints.
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The hype around AI transformation has infiltrated business lines across all areas of organizations, and with freely available generative AI (GenAI) technology, anyone can take the opportunity to explore AI’s possibilities. Recent research by TechTarget’s Enterprise Strategy Group closely examined the actions of formal stakeholders for AI initiatives today and reached some nuanced conclusions about who should be involved in these decisions and when.
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