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About the Book
Emergence of Agentic AI: Architecting the Next Generation of Intelligent Systems is a comprehensive guide to designing, building, and operating intelligent agents that think, act, and adapt within complex systems. It begins by grounding readers in the fundamental principles of Agentic AI—what makes an AI agent truly autonomous and effective—then progresses through historical evolution, key architectural decisions, system-level design, workflow orchestration, and operational practices under the emerging field of AgentOps. Each chapter blends conceptual clarity with practical guidance, equipping you to tackle real-world challenges like drift, trust, multi-agent communication, and ethical compliance. Whether you're developing single-task agents or orchestrating distributed agent ecosystems, this book empowers you with the mindset, frameworks, and tools to engineer next-generation AI systems that are not only capable—but reliable, explainable, and human-centered.
About the Author
Mansura Habiba is the Principal Platform Architect for the AI and HPC Platform at IBM in Ireland, where she leads the development and continuous operation of AI analysis platforms. With over 15 years of experience in the software, infrastructure, and services industries, she specializes in AI-driven solutions and high-performance computing. Mansura holds a Ph.D. in Deep Learning from the University of Maynooth, Ireland, where she focused on deep learning and neural networks for time series analysis.
Mansura's work includes optimizing inventory management, automating processes, and improving data quality, leading to significant operational efficiency gains. Her contributions to the field are recognized through numerous awards, patents, and international journal and conference publications.
Mansura is also an accomplished author, previously working on cloud architecture and operations. Her latest book provides a comprehensive guide to AI platforms, covering everything from setup and data management to deploying advanced AI models and exploring future trends in AI operations. She actively shares her knowledge at industry conferences, on social media, and through various publications and speaking engagements.
Mansura also serves as a reviewer and board member for IEEE journals. She has filed several patents on Neural Networks, Workload Migration, Security, Blockchain, Quantum, Edge computing, and Sustainability, with more pending in Generative AI.
Going Forward, she will focus on guiding AI adoption across products to solve real-world problems. She prioritizes scalable, agile, and ethical AI solutions, leveraging her expertise in AI architecture and cloud operations to drive impactful innovation.