As artificial intelligence initiatives rise up in executives’ priority lists, on-premises data center environments are becoming increasingly important. As businesses rapidly scale their investments and expertise in on-premises private AI, priorities shift to the protection, security, and management of private data.
To learn more, download the free brief, Private AI Modernizing Networks, Data Protection, and Storage.
The rise of artificial intelligence is accelerating on-premises modernization investment. As businesses seek to maximize the value of their local private data, they are shifting their budgets toward data centers, where they expect they can better control infrastructure, data, and costs.
To learn more, download the free brief, AI Is Fueling Data Center Modernization Investment.
AI is impacting virtually every aspect of technology and operations, and security operations and the use of MDR services are no exception. While AI-enabled security solutions are poised to change the way security programs operate, they are also impacting the types of managed security services and the use of MDR services as they exist today. Enterprise Strategy Group recently surveyed IT and cybersecurity professionals to gain insights into these trends.
To learn more, download the free infographic, The Changing Role of Managed Detection and Response (MDR) Providers in the AI Era.
AI is impacting virtually every aspect of technology and operations, and security operations and the use of MDR services are no exception. While AI-enabled security solutions are poised to change the way security programs operate, they are also impacting the types of managed security services and the use of MDR services as they exist today. With a hypothesis that the AI-era could reduce the need for and consumption of MDR services as AI-enabled security solutions automate more security functions, this research looked to uncover new opportunities for an expanding MDR market as well as the need for a rapid increase in skills and services to support that expansion.
To understand more about how AI is impacting the expectations of, utilization of, and services offered by MDR providers, Enterprise Strategy Group surveyed 400 cybersecurity and IT decision-makers at organizations in North America (U.S. and Canada) responsible for evaluating or purchasing MDR security services.
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This Complete Survey Results presentation focuses on the state of managed detection and response (MDR) service offerings, including AI’s impact on MDR in terms of how organizations use third-party help securing AI workloads and how organizations expect MDR providers to leverage AI to enhance security services.
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The mainframe remains the foundation for mission-critical workloads, relied on by many for their massive processing power and reliability. However, mainframe technology is not immune to changing IT environments characterized by sprawling cloud use, AI adoption, and other transformative initiatives. Recent research by Enterprise Strategy Group investigated the current state of mainframe use and how organizations plan to operate this enduring technology in the future.
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Artificial intelligence is poised to define the competitive landscape for multiple industries. As a result, nearly every organization is making significant investments in infrastructure to support AI, and the effectiveness of those investments will likely define success for both IT and the larger business. AI changes the way organizations interact with applications and data, which changes the way businesses are architecting and investing in hybrid cloud infrastructure and operations. Enterprise Strategy Group recently surveyed IT professionals to gain insights into these trends.
To learn more, download the free infographic, IT Transformed: Inside the Convergence of Hybrid Cloud and AI.
This Complete Survey Results presentation focuses on hybrid cloud deployment strategies, hybrid cloud investments, AI and hybrid cloud challenges, personnel and teams, business and technology benefits of public cloud service providers, mainframe environments, and third-party service providers for cloud or hybrid cloud requirements.
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AI is poised to define the competitive landscape for multiple industries. As a result, nearly every organization is making significant investments in infrastructure to support AI, and the effectiveness of those investments will likely define success for both IT and the larger business. AI changes the way organizations interact with applications and data, which changes the way businesses are architecting and investing in hybrid cloud infrastructure and operations.
To gain further insight into these trends, Enterprise Strategy Group surveyed 350 IT professionals at organizations in North America (U.S. and Canada) involved with or responsible for evaluating, purchasing, managing, and building application infrastructure for on-premises and cloud environments.
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Autonomous endpoint management (AEM) refers to the use of AI, machine learning, and automation technologies to manage, monitor, and secure endpoint devices (e.g., laptops, desktops, smartphones, and tablets) with minimal or no manual human intervention. AEM technology is already delivering positive results to early adopters, so recent research by Enterprise Strategy Group sought to understand what factors are holding back increased or initial deployments.
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Recent technological shifts, including the widespread adoption of AI and shifts in the cost of licensing for hypervisor technology, are forcing IT decision-makers to reevaluate their preconceptions in hybrid cloud architecture and design. Cost increases in hypervisor technology have emerged across the IT world, leading to the exploration of alternatives. The prioritization of AI has fueled an increased focus on both the importance of private data and the need for greater control of infrastructure, reaffirming the significance of data centers, colocation, and hosted private cloud options for private AI. Enterprise Strategy Group, recently surveyed IT professionals to gain insights into these trends.
To learn more, download the free infographic, Private AI, Virtualization, and Cloud: Transforming the Future of Infrastructure Modernization.
Recent technological shifts, including the widespread adoption of AI and shifts in the cost of licensing for hypervisor technology, are forcing IT decision-makers to reevaluate their preconceptions in hybrid cloud architecture and design. Cost increases in hypervisor technology have emerged across the IT world, leading to the exploration of alternatives. The prioritization of AI has fueled an increased focus on both the importance of private data and the need for greater control of infrastructure, reaffirming the significance of data centers, colocation, and hosted private cloud options for private AI.
To gain further insight into how these trends are impacting the future of on-premises infrastructure investments, architecture, and design, Enterprise Strategy Group surveyed 380 IT professionals at organizations in North America (U.S. and Canada) involved with or responsible for evaluating, purchasing, managing, and building application infrastructure.
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.