As hybrid models take hold in today’s evolving IT ecosystems, the stakeholders behind infrastructure and application deployments continue to expand beyond IT operations. Collaboration across a range of groups, including senior IT management, business lines, and other IT teams, is essential.
To learn more about these trends, download the free infographic, Distributed Cloud Series: Understanding Buyer and Influencer Personas.
As hybrid models take hold in today’s evolving IT ecosystems, the stakeholders behind infrastructure and application deployments continue to expand beyond IT operations. Senior IT management increasingly has extensive responsibilities to ensure that complex, multidisciplinary strategies are carried out in optimal form, without barriers that can slow business velocity. These responsibilities trickle down to a wide range of teams, from cloud and cybersecurity to platform engineering and risk/compliance. Collaboration is essential, even in the face of persistent barriers that prevent teams from working hand in hand with others within the organization.
To examine persona behavior and trends within distributed cloud environments, Enterprise Strategy Group surveyed 368 IT professionals in North America (US and Canada) involved with technology purchases and processes used in on-premises, cloud (private, hybrid, and multi), and edge environments.
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.
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.
This Complete Survey Results presentation focuses on budget allocations and processes, vendor engagement, and decision making for public cloud services; on-premises infrastructure-as-a-service; collaboration between IT and application development teams; self-service IT strategies; open source software strategies; and FinOps adoption and drivers.
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.
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.
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.
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.
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.
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.
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.