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Artificial Intelligence

  • VMware Private AI Services in VCF: Addressing Challenges in Enterprise AI Deployment

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    Torsten Volk

    The integration of VMware Private AI Services with the company’s private cloud platform, VMware Cloud Foundation (VCF), aims to significantly enhance VCF by offering developers turnkey AI capabilities. At the same time, it enables virtualization administrators and other operational roles to provision infrastructure resources and establish guidelines for compliance, security, cost, and performance. This approach restores control to virtualization administrators while letting developers easily deploy AI stacks through declarative APIs, including Terraform templates. This addresses key challenges hindering AI project success, such as skill shortages, compliance issues, and cost concerns.

    To learn more, download the free brief, VMware Private AI Services in VCF: Addressing Challenges in Enterprise AI Deployment.

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  • Red Hat InstructLab on IBM Cloud: Democratizing Enterprise AI Development Through Simplified Model Customization

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    Torsten Volk

    Enabling application developers to easily, rapidly, and cost effectively add generative AI-driven capabilities to their software is quickly becoming a critical success factor. Red Hat InstructLab on IBM Cloud addresses the critical bottlenecks: skills, resource cost, training speed, and data accessibility to make generative AI available to any application developer.

    To learn more, download the free brief, Red Hat InstructLab on IBM Cloud: Democratizing Enterprise AI Development Through Simplified Model Customization.

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  • The Critical Role of Storage in Building an Enterprise AI Infrastructure

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    Simon Robinson

    As mainstream organizations continue to adopt AI technologies and applications, they increasingly understand the effects of these technologies on the underlying infrastructure. Though the immediate focus of many AI infrastructure projects is understandably on the compute layer, the data-intensive nature of AI also suggests that it will make a significant impact on the enterprise storage environment. However, with the AI space evolving at such breakneck pace, the precise nature and extent of these impacts has been unclear. Enterprise Strategy Group recently surveyed IT professionals to gain insights into these trends.

    To learn more, download the free infographic, The Critical Role of Storage in Building an Enterprise AI Infrastructure.

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  • The Critical Role of Storage in Building an Enterprise AI Infrastructure

    ·

    Simon Robinson

    As mainstream organizations continue to adopt AI technologies and applications, they increasingly understand the effects of these technologies on the underlying infrastructure. Though the immediate focus of many AI infrastructure projects is understandably on the compute layer, the data-intensive nature of AI also suggests that it will make a significant impact on the enterprise storage environment. However, with the AI space evolving at such breakneck pace, the precise nature and extent of these impacts has been unclear. IT leaders are faced with questions such as: Will AI workloads predominantly run on premises or in the public cloud? What type of data will these workloads primarily run on? What are the data- and storage-related challenges that will crop up across the various stages of the AI lifecycle? Who will best drive the storage decision-making for AI?

    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 purchase and deployment decisions for enterprise storage.

    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. 

  • The Critical Role of Storage in Building an Enterprise AI Infrastructure

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    Simon Robinson

    This Complete Survey Results presentation focuses on hybrid cloud deployment strategies, hybrid cloud investments, AI and hybrid cloud challenges, personnel and teams, the business and technology benefits of public cloud service providers, mainframe environments, and third-party service providers for cloud or hybrid cloud requirements.

    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. 

  • SentinelOne To Acquire Prompt Security To Take On Shadow AI

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    Gabe Knuth

    SentinelOne’s acquisition of Prompt Security addresses the critical enterprise need to manage the security risks of widespread generative AI adoption. This move provides customers with granular visibility and real-time control over employee AI usage, tackling the pervasive problem of shadow AI and associated data leakage.

    To learn more, download the free brief, SentinelOne To Acquire Prompt Security To Take On Shadow AI.

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  • Transaction-heavy Industries Flock to AI Agents for Optimization

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    Mark Beccue

    AI agents are making major waves as an evolution of AI assistants that can perform without continuous human supervision. As AI agent technology continues to mature, organizations are avidly searching for new ways to implement these autonomous systems to drive efficiency, innovation, and competitive advantage. Recent research by Enterprise Strategy Group revealed that industries with high transaction volumes may be more motivated and advanced in their use of AI agents than other sectors.

    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. 

  • AI Agents: The Game-changing Generative AI Use Case

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    Mark Beccue

    AI agents and agentic AI are enabling AI applications to work without human intervention, gather and understand< environmental data, make decisions, and take actions. This type of automation could trigger exponential productivity gains and unlock new revenue streams. However, organizations can struggle to understand what AI agents can do or where to deploy them due to lack of knowledge and experience with the technology. Enterprise Strategy Group recently surveyed technical and business stakeholders involved in generative AI initiatives to gain insights into these trends.

    To learn more, download the free infographic, AI Agents: The Game-changing Generative AI Use Case.

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  • AI Agents: The Game-changing Generative AI Use Case

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    Mark Beccue

    AI agents and agentic AI are enabling AI applications to work without human intervention, gather and understand environmental data, make decisions, and take actions. This type of automation could trigger exponential productivity gains and unlock new revenue streams. As such, AI agents have begun moving to the forefront of AI initiatives.

    However, while organizations acknowledge the transformative potential of AI agents, they also acknowledge the associated implementation complexities. Indeed, organizations can struggle to understand what AI agents can do or where to deploy them due to a lack of knowledge and experience with the technology. This includes uncertainty about interoperability, standards, and AI agent saturation, among other concerns.

    To gain further insights into these trends, Enterprise Strategy Group surveyed 350 technical and business stakeholders in North America (U.S. and Canada) involved in the strategy, decision-making, selection, deployment, and management of generative AI initiatives and projects for their organization.

    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. 

  • AI Agents: The Game-changing Generative AI Use Case

    ·

    Mark Beccue

    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 and hybrid cloud requirements.

    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. 

  • AI Presents Opportunity To Integrate Alternative Virtualization Platforms

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    Scott Sinclair

    IT budgets are under assault from the ongoing explosion of AI initiatives combined with increased costs of virtualization. To prevent being left behind in AI, businesses are allocating significant investment to AI initiatives, but that investment is complicated by the recent increase in the license costs for hypervisor technology. As a result, organizations are increasingly considering alternative hypervisor technologies, and AI initiatives offer the opportunity to integrate those alternatives that can better support both virtual machines and container technologies. Recent research by Enterprise Strategy Group investigated how organizations are approaching new hypervisor adoption and what challenges they face along the way.

    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. 

  • Cloudera and Dell Technologies Enable Trust, Compliance, and Innovation With Private AI in a Box

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    Stephen Catanzano

    As enterprises seek to realize the potential of AI, they are confronted by a critical question: how can they unlock the value of sensitive enterprise data without compromising control, compliance, or cost? Public cloud alone cannot meet every need. Many organizations are moving workloads back on premises to address regulatory, security, and financial concerns.

    Cloudera’s AI platform, built on NVIDIA NIM microservices and optimized for Dell Technologies is a response to this shift by delivering Private AI in a Box: a scalable, secure, and enterprise-grade solution that brings AI to where data lives. This solution is designed to support complex, regulated, and data-intensive environments with full control, low latency, and built-in governance.

    To learn more, download the free brief, Cloudera and Dell Technologies Enable Trust, Compliance, and Innovation With Private AI in a Box.

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