Untangling AI : Driving Business Success through Enterprise Automation and AI Agents

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Untangling AI : Driving Business Success through Enterprise Automation and AI Agents

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 464 p.
  • 言語 ENG
  • 商品コード 9781394394388
  • DDC分類 006.3

Full Description

Put AI at the foundation of your organization with proven adoption strategies you can deploy immediately

In Untangling AI: Driving Business Success Through Enterprise Automation and AI Agents, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model and how to replace traditional workflows with AI-powered decision-making and execution.

You'll discover insights and examples that demonstrate how to build the four key foundations of your organization's AI adoption plan: strategy, execution, people, and technology. You'll learn how to use agentic AI technology to run entire businesses processes and automate important parts of your operations. Untangling AI explains exactly how to create a leaner, more efficient, more effective firm by:



Generating a strategic AI roadmap with a High-Trust Communication campaign and prioritizing ethics, privacy, and security
Equipping your people to take advantage of AI capabilities with upskilling, critical thinking, and by providing psychological safety
Insightful discussions of how to identify automatable processes that are ideal for custom-built AI agents

Perfect for executives, managers, entrepreneurs, founders, and other business leaders, Untangling AI: Driving Business Success Through Enterprise Automation and AI Agents is also an invaluable new resource for technical managers looking for practical AI-adoption strategies that work in the real-world.

Contents

Contents
Introduction: The New Age of Business xiii
Chapter 1 Strategy: AI Strategic Roadmap 1
Chapter 2 People: AI-Powered People 79
Chapter 3 Technology: Navigating AI Integration 185
Chapter 4 Execution: AI-Enabled Execution 289
Chapter 5 AI Agents + Automation Planning 345
Chapter 6 The Future of Business Valuations 359
Index 385

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