Managing teams in the Age of AI
A step-by-step guide for managing technical personas, process transformation, and fostering innovation (English Edition)
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The latest unprecedented advancement of AI is considered a significant evolution of technology. It is perceived that AI can do many tasks faster and better than humans. Hence, the role of a software engineer is rapidly evolving and getting reshaped by AI. In light of this, navigating the rapidly changing landscape of AI is no longer a choice but a professional necessity. This book will help readers understand AI and master the human dynamics required to integrate it effectively into an organization and workforce. This book looks at the AI adoption lifecycle, beginning with a perspective on the...
The latest unprecedented advancement of AI is considered a significant evolution of technology. It is perceived that AI can do many tasks faster and better than humans. Hence, the role of a software engineer is rapidly evolving and getting reshaped by AI. In light of this, navigating the rapidly changing landscape of AI is no longer a choice but a professional necessity. This book will help readers understand AI and master the human dynamics required to integrate it effectively into an organization and workforce. This book looks at the AI adoption lifecycle, beginning with a perspective on the AI world and its specific applications for software development, from productivity tools to domain-specific scenarios. The book then provides a unique, persona-based framework to manage the three key types of team members: the wide-eyed ones, the AI enthusiasts, and the nAI-sayers. Readers will learn to plan and implement a full-scale transformation, complete with establishing success metrics, defining a 30-60-90 day plan, and creating a continuous feedback loop. By the end of this book, readers will possess a strategic and actionable understanding of how to lead a team to not just adapt to AI but to thrive truly. Readers will be equipped to foster a culture of continuous innovation, transforming an organization's tactical use of AI into a dynamic and proactive force for the future. WHAT YOU WILL LEARN ¿ The current AI landscape and ethical implications. ¿ Applying AI tools for software engineering productivity. ¿ Establishing success metrics for AI transformation plans. ¿ Implementing AI-driven process and rhythm modifications. ¿ Creating feedback loops for continuous AI process refinement. ¿ Embedding AI strategically into organizational and individual goals. ¿ Designing a team culture for continuous innovation. WHO THIS BOOK IS FOR This book is for software engineering leaders, managers, and aspiring professionals who have experience in the software industry. It provides a framework for effectively guiding teams through the AI transformation.
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