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001 88974252
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020 _a9789365898361
035 _aFRCYB88974252
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aAgrawal, Ankur
245 0 1 _aManaging teams in the Age of AI
_bA step-by-step guide for managing technical personas, process transformation, and fostering innovation (English Edition)
_c['Agrawal, Ankur']
264 1 _bBPB Publications
_c2025
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aAgrawal, Ankur
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88974252
_qtext/html
_a
520 _aDescriptionThe 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.? Framework towards emerging as a transformative leader.Who this book is forThis 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.Table of Contents1. Foundations of the AI Landscape2. Applications of AI in Your Domain3. Type A, the Wide-eyed Ones4. Type B, the AI Enthusiasts5. Type C, the nAI-sayers6. Plan the Transformation7. Execute the Transformation8. Feedback Loop9. Beyond the Tactical10. Planting Seeds for the Future
999 _c1556907
_d1556907