Inhaltsangabe
Mainframes still power the world's most critical systems-but the way we modernize and operate them is changing. Agentic AI for Mainframes is a practical, leadership-aware guide for professionals who want to modernize mainframe environments without disrupting the mission-critical systems their organizations depend on. This book goes beyond automation and tooling to explain how agentic AI-AI systems that observe, reason, and act with clearly defined boundaries-can safely and responsibly transform mainframe operations. Written for enterprise technologists, architects, managers, and modernization leaders, this book bridges the gap between legacy system realities and modern AI capabilities. You'll learn how to plan AI-driven modernization initiatives, align them with business strategy, manage risk and compliance, and drive adoption across teams that operate in highly regulated environments. Rather than chasing hype, this guide focuses on what actually works: incremental modernization, human-in-the-loop design, measurable outcomes, and governance-first thinking. Real-world case patterns, implementation playbooks, and executive communication frameworks help you turn AI potential into operational value. Inside, you'll discover how to:Apply agentic AI safely within mainframe workflows Modernize without full system replacement Measure and communicate ROI to leadership Build trust, adoption, and accountability across teams Prepare your organization-and yourself-for continuous modernization Whether you are just beginning your modernization journey or leading enterprise-wide initiatives, Agentic AI for Mainframes serves as both a learning companion and a long-term reference-helping you modernize with confidence, credibility, and control. Modernization isn't about replacing the mainframe. It's about making it smarter.
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Paperback. Zustand: new. Paperback. Mainframes still power the world's most critical systems-but the way we modernize and operate them is changing.Agentic AI for Mainframes is a practical, leadership-aware guide for professionals who want to modernize mainframe environments without disrupting the mission-critical systems their organizations depend on. This book goes beyond automation and tooling to explain how agentic AI-AI systems that observe, reason, and act with clearly defined boundaries-can safely and responsibly transform mainframe operations.Written for enterprise technologists, architects, managers, and modernization leaders, this book bridges the gap between legacy system realities and modern AI capabilities. You'll learn how to plan AI-driven modernization initiatives, align them with business strategy, manage risk and compliance, and drive adoption across teams that operate in highly regulated environments.Rather than chasing hype, this guide focuses on what actually works: incremental modernization, human-in-the-loop design, measurable outcomes, and governance-first thinking. Real-world case patterns, implementation playbooks, and executive communication frameworks help you turn AI potential into operational value.Inside, you'll discover how to: Apply agentic AI safely within mainframe workflowsModernize without full system replacementMeasure and communicate ROI to leadershipBuild trust, adoption, and accountability across teamsPrepare your organization-and yourself-for continuous modernizationWhether you are just beginning your modernization journey or leading enterprise-wide initiatives, Agentic AI for Mainframes serves as both a learning companion and a long-term reference-helping you modernize with confidence, credibility, and control.Modernization isn't about replacing the mainframe. It's about making it smarter. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798233979316
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Paperback. Zustand: new. Paperback. Mainframes still power the world's most critical systems-but the way we modernize and operate them is changing.Agentic AI for Mainframes is a practical, leadership-aware guide for professionals who want to modernize mainframe environments without disrupting the mission-critical systems their organizations depend on. This book goes beyond automation and tooling to explain how agentic AI-AI systems that observe, reason, and act with clearly defined boundaries-can safely and responsibly transform mainframe operations.Written for enterprise technologists, architects, managers, and modernization leaders, this book bridges the gap between legacy system realities and modern AI capabilities. You'll learn how to plan AI-driven modernization initiatives, align them with business strategy, manage risk and compliance, and drive adoption across teams that operate in highly regulated environments.Rather than chasing hype, this guide focuses on what actually works: incremental modernization, human-in-the-loop design, measurable outcomes, and governance-first thinking. Real-world case patterns, implementation playbooks, and executive communication frameworks help you turn AI potential into operational value.Inside, you'll discover how to: Apply agentic AI safely within mainframe workflowsModernize without full system replacementMeasure and communicate ROI to leadershipBuild trust, adoption, and accountability across teamsPrepare your organization-and yourself-for continuous modernizationWhether you are just beginning your modernization journey or leading enterprise-wide initiatives, Agentic AI for Mainframes serves as both a learning companion and a long-term reference-helping you modernize with confidence, credibility, and control.Modernization isn't about replacing the mainframe. It's about making it smarter. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798233979316
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Paperback. Zustand: new. Paperback. Mainframes still power the world's most critical systems-but the way we modernize and operate them is changing.Agentic AI for Mainframes is a practical, leadership-aware guide for professionals who want to modernize mainframe environments without disrupting the mission-critical systems their organizations depend on. This book goes beyond automation and tooling to explain how agentic AI-AI systems that observe, reason, and act with clearly defined boundaries-can safely and responsibly transform mainframe operations.Written for enterprise technologists, architects, managers, and modernization leaders, this book bridges the gap between legacy system realities and modern AI capabilities. You'll learn how to plan AI-driven modernization initiatives, align them with business strategy, manage risk and compliance, and drive adoption across teams that operate in highly regulated environments.Rather than chasing hype, this guide focuses on what actually works: incremental modernization, human-in-the-loop design, measurable outcomes, and governance-first thinking. Real-world case patterns, implementation playbooks, and executive communication frameworks help you turn AI potential into operational value.Inside, you'll discover how to: Apply agentic AI safely within mainframe workflowsModernize without full system replacementMeasure and communicate ROI to leadershipBuild trust, adoption, and accountability across teamsPrepare your organization-and yourself-for continuous modernizationWhether you are just beginning your modernization journey or leading enterprise-wide initiatives, Agentic AI for Mainframes serves as both a learning companion and a long-term reference-helping you modernize with confidence, credibility, and control.Modernization isn't about replacing the mainframe. It's about making it smarter. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798233979316
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Taschenbuch. Zustand: Neu. Leading Mainframe Modernization with Agentic AI | Ricardo Nuqui | Taschenbuch | Englisch | 2025 | Isaac Nangan | EAN 9798233979316 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134408765
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mainframes still power the world's most critical systems-but the way we modernize and operate them is changing.Agentic AI for Mainframes is a practical, leadership-aware guide for professionals who want to modernize mainframe environments without disrupting the mission-critical systems their organizations depend on. This book goes beyond automation and tooling to explain how agentic AI-AI systems that observe, reason, and act with clearly defined boundaries-can safely and responsibly transform mainframe operations.Written for enterprise technologists, architects, managers, and modernization leaders, this book bridges the gap between legacy system realities and modern AI capabilities. You'll learn how to plan AI-driven modernization initiatives, align them with business strategy, manage risk and compliance, and drive adoption across teams that operate in highly regulated environments.Rather than chasing hype, this guide focuses on what actually works: incremental modernization, human-in-the-loop design, measurable outcomes, and governance-first thinking. Real-world case patterns, implementation playbooks, and executive communication frameworks help you turn AI potential into operational value.Inside, you'll discover how to:Apply agentic AI safely within mainframe workflowsModernize without full system replacementMeasure and communicate ROI to leadershipBuild trust, adoption, and accountability across teamsPrepare your organization-and yourself-for continuous modernizationWhether you are just beginning your modernization journey or leading enterprise-wide initiatives, Agentic AI for Mainframes serves as both a learning companion and a long-term reference-helping you modernize with confidence, credibility, and control.Modernization isn't about replacing the mainframe. It's about making it smarter. Bestandsnummer des Verkäufers 9798233979316
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