Extreme temperatures, shocks, moisture, dust, strong vibrations, and even workplace-specific elements such as grease are just some of the environmental factors that can impair important IT infrastructure at the edge. Research by TechTarget’s Enterprise Strategy Group shows that when it comes to edge locations, ruggedized infrastructure and enclosures designed to withstand these conditions are pivotal, especially so for certain organizational profiles.
Data Management, Analytics & AI
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This Complete Survey Results presentation focuses on AI drivers; data used for AI models; backup processes for data used in AI and the consequences of not having them; the importance of AI/machine learning (ML) to data backup, data recovery, and ransomware protection efforts; expectations of AI/ML in backup processes; perceptions of generative AI; the stakeholders involved in these practices; and the connection between data governance and responsible AI.
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This Complete Survey Results presentation focuses on organizations’ expectations as they integrate AI into analytics and business intelligence (BI), including employee access to AI platforms, barriers to AI usage, steps to enable more AI usage, areas where AI and machine learning (ML) are in use and planned for use, the impact of AI/ML on analytics and BI, generative AI trends, and business benefits.
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TechTarget and Enterprise Strategy Group ran a global survey examining where buyers source information throughout their purchase journey. This report focuses on responses from almost 700 global technology buyers of which 385 were Sr. IT or Business Leadership. Below are 5 insights you can learn from this report:
- Media types B2B buyers rely on when building a vendor shortlist
- Channels where B2B buyers are spending more time doing research
- What buyers want from vendor content including what motivates them to attend webinars
- Trends in vendor loyalty, including what causes customers to switch vendors/suppliers
- What tech vendors need to do to maintain a strong ongoing relationship with their customers
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TechTarget and Enterprise Strategy Group ran a global survey examining where buyers source information throughout their purchase journey. This report focuses on responses from 240 EMEA technology buyers across IT management and senior business roles. Below are 5 insights you can learn from this report:
- Media types B2B buyers rely on when building a vendor shortlist
- Channels where B2B buyers are spending more time doing research
- What buyers want from vendor content including what motivates them to attend webinars
- Trends in vendor loyalty, including what causes customers to switch vendors/suppliers
- What tech vendors need to do to maintain a strong ongoing relationship with their customers
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TechTarget and Enterprise Strategy Group ran a global survey examining where buyers source information throughout their purchase journey. This report focuses on responses from 135 APAC technology buyers across IT management and senior business roles. Below are 5 insights you can learn from this report:
- Media types B2B buyers rely on when building a vendor shortlist
- Channels where B2B buyers are spending more time doing research
- What buyers want from vendor content including what motivates them to attend webinars
- Trends in vendor loyalty, including what causes customers to switch vendors/suppliers
- What tech vendors need to do to maintain a strong ongoing relationship with their customers
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As ransomware attacks ravage data systems and operations across industries, data protection and cybersecurity leaders are finding that their recoverability falls short in the face of this threat. Recent research by TechTarget’s Enterprise Strategy Group finds most organizations have a long way to go in bringing ransomware service-level agreements (SLAs) in line with those of traditional recovery operations to protect their critical data assets and reputations.
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Ransomware has burdened data protection and cybersecurity professionals alike since its inception in the modern threat landscape. Recent research by TechTarget’s Enterprise Strategy Group showed that this now-mainstay threat is no longer an anxiety for only IT professionals tasked with managing its mitigation but also affects roles and lines of business throughout organizations that must combat it.
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As organizations seek the optimal mix of security, agility, and cost efficiency in their data environments, they increasingly find themselves working with both on-premises and public cloud technologies. These hybrid environments provide numerous benefits for differing data types and workloads, but they can also cause operational complexity for the IT professionals tasked with deploying, managing, and maintaining a variety of technologies across numerous vendor products. Recent research by TechTarget’s Enterprise Strategy Group found that IT teams are looking to solidify their cloud experiences as these hybrid trends evolve.
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With data powering everything from product development and tailored customer experiences to compliance with legal and ethical standards, most organizations are open to collecting as much data as they can to fuel competitive advantage and keep their operations humming. But funneling in data from every source available can cause challenges for the IT teams tasked with operationalizing this data and keeping it safe. Recent research by TechTarget’s Enterprise Strategy Group shows that most organizations are aware of this mounting problem and carefully planning solutions.
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Department heads the world over are hearing mandates to infuse data science and machine learning (ML) into their operations as quickly as possible. However, ascertaining the goals of these projects and securing the requisite budget are not simple tasks. Recent research by TechTarget’s Enterprise Strategy Group revealed that funding and confusion follow ML and data science initiatives almost everywhere they appear.
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The use of artificial intelligence (AI) and machine learning (ML) to supercharge business operations has captured the imaginations of stakeholders from every business line and department, especially with the rapid popularity of generative artificial intelligence (GenAI) tools. Along with all this excitement comes myriad concerns regarding the ethical use of such tools. TechTarget’s Enterprise Strategy Group recently surveyed data professionals to find out how they’re balancing AI use with ethical and governance standards.
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