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Kickstart your generative AI journey with Dell

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Building an AI agent Center of Excellence to accelerate adoption

By: Sema4.ai

Type: eBook

This eBook presents a framework for establishing an AI Agent Center of Excellence (CoE) to boost AI-powered agent adoption in organizations. The CoE offers a scalable method to identify, develop, and deploy AI agents for business transformation and innovation.

Key highlights include:

  • Defining the CoE's vision, objectives, and deliverables to empower teams with AI
  • A structured methodology for the AI agent lifecycle, from use case identification to support and training
  • Staffing and governance structure for CoE success
  • Metrics to assess AI agent impact

Learn a proven framework to build an AI Agent CoE and unlock generative AI's potential. Explore now to accelerate your AI agent journey.

These are also closely related to: "Kickstart your generative AI journey with Dell"

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    Accelerate AI Initiatives on Dell VxRail

    By: Dell Technologies

    Type: ESG Showcase

    The rapid evolution of AI in enterprise settings is driving demand for infrastructure that supports generative AI workloads on premises.

    Dell Technologies VxRail is a hyperconverged infrastructure (HCI) solution offering scalability, automation, lowered costs, and a consistent experience across data center, edge, and cloud environments. Organizations can start with light AI workloads on VxRail and scale up to more demanding tasks with validated GPUs.

    Leveraging VxRail’s capabilities, businesses can position themselves well at any stage of their AI maturity, maximizing return on investment (ROI) and accelerating time to value for their AI initiatives. Download this ESG Showcase now to learn more.

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    Explore the next chapter of AI: 5 GenAI trends for 2025

    By: Dataiku

    Type: White Paper

    The advent of generative AI (GenAI) is transforming enterprises, ushering in a new era of agentic AI systems. This white paper explores five key trends:

    • GenAI will become commoditized, pushing organizations to build unique AI capabilities. Leaders must focus on innovative, ROI-driven applications.

    • Quantifying GenAI's ROI is critical as executives demand results. Businesses need new frameworks to evaluate its impact on productivity and cost savings.

    • The rise of large language models (LLMs) and AI agents requires governance strategies.

    • Governance frameworks are essential to mitigate data privacy risks.

    • Employees must acquire AI skills or face fewer opportunities. Organizations must upskill staff.

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  • Workforce Upskilling for the AI Era Tools and training for a future-ready business

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    As AI and generative AI transform work practices, organizations must upskill employees and invest in automation to drive productivity gains. This IDC Infobrief explores key challenges and requirements for preparing the workforce for the AI era. Read the full report to learn how to secure remote access and build user trust.

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  • Best practices for effective AI implementation

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    In this e-book, you'll discover how to leverage AI expertise to gain a competitive advantage. You'll also explore common AI implementation challenges and learn how to build a winning AI strategy. Read on now to find out how to unlock the power of AI for your business.

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    In this white paper, you'll discover the 5 essentials for achieving AI excellence - from building a robust business case to ensuring data readiness and security. Read on now to learn how to harness the full potential of AI and drive innovation, efficiency, and competitive advantage.

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  • The State of Enterprise Open-Source AI

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    Open-source tools are transforming AI and machine learning (ML) initiatives across industries. From accelerating innovation to addressing pressing security, compliance and scalability concerns, this report offers actionable insights into how enterprises are navigating the opportunities and challenges of open-source AI. Read on now to learn more.

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  • Operationalize Your AI Models: 4 key Elements

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    As organizations continue to adopt AI, the challenge quickly becomes operationalizing models effectively via a continuous machine learning operations (MLOps) process. How can you spin up this process in to ensure you deliver reliable AI results? Access this checklist now to learn 4 key methods of operationalizing AI successfully in the long-term.

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  • Revolutionizing knowledge work through enterprise agents

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    This data, from a 2024 Dataiku and Cognizant survey of 200 senior analytics and IT leaders, highlights that GenAI is a top priority at the highest level — nearly three-quarters of respondents (73%) will spend over $500,000 on the tech in the next 12 months.

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