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.
Data Management, Analytics & AI
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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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AI has become a key investment for organizations as they seek to foster innovation and gain a competitive edge. But selecting and deploying the right AI solution is still quite challenging, often entailing substantial initial and ongoing investments of time, people, and money. Recent research by TechTarget’s Enterprise Strategy Group sought to understand the time-to-value situation for AI projects today and what this might say about innovation in the AI market in general.
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In a competitive business climate that is driving constant and massive data growth, maintaining sound data governance practices and compliance with regulations has become a major priority for IT and business leaders alike. Recent research by TechTarget’s Enterprise Strategy Group revealed that a certain type of organization is struggling more than others with important data governance practices.
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By a wide margin, most organizations are satisfied with data recovery speed in the public cloud, according to Enterprise Strategy Group’s research. However, half are recovering 75% or less of their data, and the overall average is 69% on recoveries of cloud-based data. Improvements are needed to approach or match service levels common in other mission-critical IT processes. One option that could help: on-premises storage of key operational data to augment cloud data protection tools.
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The cloud data protection market is growing quickly: Enterprise Strategy Group’s research found that the use of cloud-based services will be close to universal soon. But data protection is an increasingly dynamic process, with a majority of organizations reassessing their strategies every 12 to 36 months. The lack of consensus on the differences between BaaS and DRaaS technologies could complicate buying decisions for prospective users, who should focus on their organization’s requirements and how different vendors can meet them.
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To stay competitive in today’s tight economy and highly competitive markets, the effective use of data has become a core business requirement. Many IT organizations are using data platforms to collect, manage, and process curated data as well as deliver it to critical business lines in real time. Recent research by TechTarget’s Enterprise Strategy Group shows noteworthy findings regarding how these efforts are playing out in modern IT organizations.
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IT teams tasked with meeting the breakneck speed of modern business are contending with a constant state of change, adding tools, services, and whole vendor relationships quickly when needed to support demands across their companies. Recent research into the data platforms market by TechTarget’s Enterprise Strategy Group shows that this situation is a nearly universal trend, with some interesting implications for vendors and the professionals they serve.
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