Data Management, Analytics & AI

  • 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.

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  • Although AI agents are generating substantial interest across industries, organizations find themselves at varying levels of understanding and adoption of the technology today. Recent research by Enterprise Strategy Group investigated the experiences of organizations that currently identify AI agent initiatives as their top priority in contrast with those still waiting to fully commit to using these tools. The research revealed some interesting findings when it comes to early AI agent deployment challenges.

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  • A combination of explosive data growth, security challenges and AI opportunities are placing increased emphasis on unstructured data management, especially in highly distributed organizations. Nasuni is responding to these challenges with multiple new capabilities designed to add powerful intelligence to its unified file data platform.

    To learn more, download the free brief, Nasuni Doubles Down on Intelligence Layer for Unified File Data Platform.

  • 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.

  • 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.

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  • 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.

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  • Enterprises want to embrace AI but are reluctant to deploy AI apps due to the potential for data loss. Harmonic Security helps enterprises safely deploy AI apps with controls designed to deliver precise protection against data loss.

    To learn more, download the free brief, Addressing the Challenges of Securing GenAI Adoption With Harmonic Security.

  • 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.

  • As the AI landscape continues to evolve at a staggering pace, a range of challenges are emerging at the data and infrastructure level. In response, WEKA’s NeuralMesh storage system is designed to handle a range of advanced AI workloads in a highly flexible manner.

    To learn more, download the free brief, WEKA Unveils NeuralMesh: A Data Foundation for the Age of AI Reasoning.

  • 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.

  • 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.

  • 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.