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Artificial Intelligence

  • Private AI, Virtualization, and Cloud: Transforming the Future of Infrastructure Modernization

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    Scott Sinclair

    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. 

  • Private AI, Virtualization, and Cloud: Transforming the Future of Infrastructure Modernization

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    Scott Sinclair

    This Complete Survey Results presentation focuses on drivers for application deployment locations, hypervisor preferences and plans, platform approaches to hybrid cloud, infrastructure modernization across on-premises and cloud locations, and private AI preferences and initiatives.

    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. 

  • Oracle Expands Multi-cloud Offering With AWS to Meet Enterprise AI Data Strategy

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    Stephen Catanzano

    The shift in enterprise data strategy has moved beyond enabling better decision-making, now focusing on powering AI at scale. Oracle Database@AWS represents a pivotal development, enabling organizations to unify structured and unstructured data, enforce governance, and help ensure compliance without compromising on performance or flexibility. By running Oracle Database services on Oracle Cloud Infrastructure (OCI) within AWS data centers, enterprises gain the power of Oracle Database 23ai features such as AI Vector Search, combined with access to AWS-native AI tools like Bedrock for Amazon Nova large language models and SageMaker. This collaboration reduces the friction in deploying AI from proof-of-concept to production by providing architectural compatibility, simplified operations, and a unified governance framework. The result is a new foundation for data platforms that meet the requirements of both business decision-making and AI enablement—secure, at scale, and intelligent.

    To learn more, download the free brief, Oracle Expands Multi-cloud Offering With AWS to Meet Enterprise AI Data Strategy.

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  • The End of the Storage Silo? Pure’s Enterprise Data Cloud Promises a New Era for Data Management

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    Scott Sinclair

    Pure Storage used its recent Accelerate conference to unveil a bold new vision. Based around the concept of the Enterprise Data Cloud, it’s the latest phase in Pure’s mission to disrupt the enterprise data landscape and tackle long-standing challenges within the storage domain head-on, reducing complexity, achieving scale, and, ultimately, enabling organizations to effectively manage their data, rather than storage, in a truly service-oriented fashion.

    To learn more, download the free brief, The End of the Storage Silo? Pure’s Enterprise Data Cloud Promises a New Era for Data Management.

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  • Starfish Storage’s Metadata-driven Approach for Unstructured Data Management Strikes a Chord in the AI Era

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    Simon Robinson

    Data is the lifeblood of any modern organization, but the sheer volume of unstructured data at many organizations threatens to overwhelm, pushing up costs, introducing risks, and limiting their ability to innovate at a time when the importance of leveraging digital data has never been stronger. These are challenges that Starfish Storage has spent the last decade addressing, with a comprehensive set of federated data management capabilities that help many of the world’s largest organizations control, optimize, and fully leverage their critical unstructured data assets.

    To learn more, download the free brief, Starfish Storage’s Metadata-driven Approach for Unstructured Data Management Strikes a Chord in the AI Era.

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  • Architecting the Network for an AI-powered World

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    Jim Frey

  • AI at the Endpoint: The Impact of AI on End Users and Endpoint Devices

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    Gabe Knuth

  • Transforming Observability and Monitoring through AI

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    Torsten Volk

  • Evaluating the Pillars of Responsible AI

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    Mike Leone

  • Navigating the Generative AI Partner and Alliance Landscape

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    Mike Leone

  • Zscaler Showcases Innovation With Contextual Analysis and AI-driven Remediation at Zenith Live

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    Tyler Shields

    Organizations require comprehensive contextual prioritization and automated remediation of security vulnerabilities to scale their limited human cybersecurity resources effectively. At the Zscaler event, Zenith Live, the company showcased this vision, illustrating a platform that employs large-scale data collection, contextual AI data analysis, and intelligent automated security control implementation to mitigate risk and advance toward a self-healing system.

    To learn more, download the free brief, Zscaler Showcases Innovation With Contextual Analysis and AI-driven Remediation at Zenith Live.

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  • Moving Beyond Conversational Analytics With Qlik’s Agentic Experience

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    Mike Leone

    Organizations increasingly demand intelligent, autonomous analytics to overcome data silos and slow decision-making, seeking proactive solutions beyond static reports. Qlik’s new agentic experience addresses this by providing an AI framework with specialized agents that reason, plan, and initiate actions, enabling customers to integrate their own agents for streamlined data-to-decision workflows.

    To learn more, download the free brief, Moving Beyond Conversational Analytics With Qlik’s Agentic Experience.

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