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The agentic AI revolutionleveraging ...

Calder, Nancie.

The agentic AI revolutionleveraging microsoft AI and autonomous agents to transform work and business /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The agentic AI revolutionby Will Hawkins, Nancie Calder.
其他題名:	leveraging microsoft AI and autonomous agents to transform work and business /
作者:	Hawkins, Will.
其他作者:	Calder, Nancie.
出版者:	Berkeley, CA :Apress :2025.
面頁冊數:	xvii, 158 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Intelligent agents (Computer software)
電子資源:	https://doi.org/10.1007/979-8-8688-2022-9
ISBN:	9798868820229$q(electronic bk.)

The agentic AI revolutionleveraging microsoft AI and autonomous agents to transform work and business /
Hawkins, Will.

The agentic AI revolutionleveraging microsoft AI and autonomous agents to transform work and business /[electronic resource] :by Will Hawkins, Nancie Calder. - Berkeley, CA :Apress :2025. - xvii, 158 p. :ill., digital ;24 cm.

Chapter 1: The AI Landscape and Its Evolving Impact -- Chapter 2: Challenges and Gaps in Current AI Adoption -- Chapter 3: Understanding Agency - what makes Agentic AI a teammate, not a tool - Chapter 4: Why Agentic Capabilities Outperform Traditional AI -- Chapter 5: Microsoft's AI Stack and Agentic Evolution -- Chapter 6: Governing Agentic AI - Principles, Practices, and Playbooks - Chapter 7: Embracing the Agentic Workforce -- Chapter 8: Beyond the Horizon.

The evolution of AI isn't just about predictive models and automation; it's about the emergence of "agentic" capabilities-autonomous and specialized AI systems that operate with a sense of independence by acting on a user's behalf. This book explores, through dialogue between the authors, the transformative role of AI in modern organizations, beginning with its evolution from automation to augmentation and the paradigm shift in human-machine collaboration. The book starts with Microsoft's AI ecosystem, showcasing tools like Copilot, Power Platform, Dynamics 365, and Azure AI that enable AI agentic solutions. It further emphasizes responsible AI implementation, covering ethical guidelines, risk mitigation, and security measures with a specific focus on agentic systems. Finally, it provides a roadmap for businesses and professionals to adapt to an agentic workforce, measuring AI's impact while preparing for future breakthroughs. After reading this book, you will be able to leverage agentic systems at scale and also address the implications of using agentic AI responsibly. What You Will Learn: The foundations of "agency" in AI Practical strategies for implementing agentic AI solutions using Microsoft's ecosystem Best practices in Responsible AI, ethical considerations, and risk mitigation for autonomous agents Actionable next steps for embracing agentic AI in day-to-day work and broader AI transformation efforts.

ISBN: 9798868820229$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-2022-9doiSubjects--Topical Terms:

200777
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

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520 $a The evolution of AI isn't just about predictive models and automation; it's about the emergence of "agentic" capabilities-autonomous and specialized AI systems that operate with a sense of independence by acting on a user's behalf. This book explores, through dialogue between the authors, the transformative role of AI in modern organizations, beginning with its evolution from automation to augmentation and the paradigm shift in human-machine collaboration. The book starts with Microsoft's AI ecosystem, showcasing tools like Copilot, Power Platform, Dynamics 365, and Azure AI that enable AI agentic solutions. It further emphasizes responsible AI implementation, covering ethical guidelines, risk mitigation, and security measures with a specific focus on agentic systems. Finally, it provides a roadmap for businesses and professionals to adapt to an agentic workforce, measuring AI's impact while preparing for future breakthroughs. After reading this book, you will be able to leverage agentic systems at scale and also address the implications of using agentic AI responsibly. What You Will Learn: The foundations of "agency" in AI Practical strategies for implementing agentic AI solutions using Microsoft's ecosystem Best practices in Responsible AI, ethical considerations, and risk mitigation for autonomous agents Actionable next steps for embracing agentic AI in day-to-day work and broader AI transformation efforts.
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