thummarakoti sairohith (31 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.

Zustand: New.

Paperback. Zustand: Brand New. 2nd edition. 216 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Zustand: Brand New. 9.18x6.12 inches. In Stock.

Zustand: NEW.

Zustand: New. Sairohith Thummarakoti is a technology leader who builds agentic AI systems that work in the real world. For more than a decade, he has delivered large-scale solutions across healthcare, health insurance, banking, finance, and fintech, u.

Zustand: New. Sairohith Thummarakoti is a lead architect, researcher, and multi-book author with expertise in Pega Business Process Management (BPM), AI-powered cloud infrastructure, engineering excellence, and enterprise technology. With over a decad.

Zustand: New. Sairohith Thummarakoti is a Lead Architect specializing in intelligent automation, AI-powered cloud infrastructure, and healthcare technology. He has authored multiple books on AI and cloud computing and has peer-reviewed over 300 research papers for lea.

Zustand: New. Sairohith Thummarakoti is a technology leader, innovator, and author specializing in Pega, artificial intelligence, and cloud computing. He holds top- level professional certifications as a Pega Lead System Architect and AWS Certified So.

Taschenbuch. Zustand: Neu. Neuware - The healthcare industry is undergoing a transformative shift as artificial intelligence moves from isolated predictive models to autonomous, goal-driven agents capable of reasoning, planning, and adapting in real time.Agentic AI for Healthcare: Building Scalable Models for Production is the first comprehensive technical guide that focuses specifically on designing and deploying agentic AI systems within complex clinical and operational healthcare environments. Unlike traditional AI systems that passively infer outcomes, agentic AI involves systems that actively make decisions, coordinate with other agents, and take initiative toward long-term goals, making them ideal for dynamic and high-stakes healthcare settings. What sets this book apart is its deep technical focus tailored for computer scientists, architects, and AI engineers who are building real-world healthcare solutions. Each chapter bridges theoretical foundations with production-ready implementations using cloud-native technologies, distributed architectures, knowledge representation models, and secure deployment pipelines. With detailed case studies in oncology, vaccine management, and hospital operations, the book demonstrates how agentic AI can improve care delivery, reduce cognitive burden on clinicians, and automate routine workflows - all while meeting regulatory standards.As healthcare increasingly adopts AI-first strategies, this book fills a critical need by offering a structured, engineering-centered approach to building scalable, intelligent, and trustworthy healthcare systems.

Taschenbuch. Zustand: Neu. Neuware - Generative AI in Software Development: A Practical Guide for Engineering Leaders explores how large language models and generative tools are fundamentally changing the way software is created, tested, and maintained. This isn't a theoretical or academic deep dive; it's a practical, grounded guide for developers, product teams, and tech leaders who want to understand how generative AI can be embedded into real-world software workflows. From writing and debugging code to generating UI components, managing APIs, and automating deployment tasks, this book shows how AI is becoming a true co-developer.What sets this book apart is its balance: it's not just for hardcore engineers nor is it a high-level overview filled with buzzwords. Instead, it sits at the intersection technical enough to be useful but accessible enough for product managers and decision-makers. The industry is at an inflection point where AI-assisted development is no longer optional; it's become essential. This book fills the gap for those who want to move beyond the hype and see exactly how generative AI can speed up development, improve code quality, and change the economics of software delivery.

Taschenbuch. Zustand: Neu. Neuware - Modern enterprises must address three concurrent challenges: rapid technological advancement, increasing regulatory requirements, and heightened customer expectations. In this context, the concept of cloud has evolved from a destination to an operating model. Pega Cloud 3 exemplifies this transformation. It provides a cloud-native execution environment, including pods for strict isolation, externalized stateful services for enhanced performance, Kubernetes for automated recovery and continuous delivery, and integrated low-code decisioning with governance. Pega Agentic AI on Cloud 3 synthesizes these components into a structured methodology, enabling agentic artificial intelligence (AI) that operates with evidence-based planning and defined safeguards. Key features of the book include: - Priority is given to actionable decisions over extensive definitions. Where terminology could become ambiguous, a default is provided along with justification for any deviations, facilitating team progress - Evidence is treated as the primary deliverable. Automated pipelines are emphasized over static screenshots, and audits are structured as exportable data rather than informal searches - Rollbacks are occasionally necessary. Rollback procedures are designed, rehearsed, and standardized to maintain operational confidence The book is a practical guide focusing on actionable methodologies rather than theoretical concepts. Each architectural pattern supports incremental adoption, with all controls implemented programmatically, and every change is subject to audit and review. The book features a continuous case study, Northstar Enterprises, a diversified organization that adopted Cloud 3 to accelerate delivery, efficiently demonstrate compliance, and align scaling with measurable customer outcomes.

Taschenbuch. Zustand: Neu. Generative AI in Software Development | A Practical Guide for Engineering Leaders | Raghavendra Rao Chillarige (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041217992 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Pega Agentic AI on Cloud 3 | Architecture, Governance, and Operating Models for Modern Enterprises | Sairohith Thummarakoti | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781041212676 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New. Sairohith Thummarakoti is a Lead Architect specializing in intelligent automation, AI-powered cloud infrastructure, and healthcare technology. He has authored multiple books on AI and cloud computing and has peer-reviewed over 300 research papers for lea.

Zustand: New. Sairohith Thummarakoti is a technology leader, innovator, and author specializing in Pega, artificial intelligence, and cloud computing. He holds top- level professional certifications as a Pega Lead System Architect and AWS Certified So.

Zustand: New. Sairohith Thummarakoti is a technology leader who builds agentic AI systems that work in the real world. For more than a decade, he has delivered large-scale solutions across healthcare, health insurance, banking, finance, and fintech, u.

Zustand: New. Sairohith Thummarakoti is a lead architect, researcher, and multi-book author with expertise in Pega Business Process Management (BPM), AI-powered cloud infrastructure, engineering excellence, and enterprise technology. With over a decad.

Buch. Zustand: Neu. Neuware - Modern enterprises must address three concurrent challenges: rapid technological advancement, increasing regulatory requirements, and heightened customer expectations. In this context, the concept of cloud has evolved from a destination to an operating model. Pega Cloud 3 exemplifies this transformation. It provides a cloud-native execution environment, including pods for strict isolation, externalized stateful services for enhanced performance, Kubernetes for automated recovery and continuous delivery, and integrated low-code decisioning with governance. Pega Agentic AI on Cloud 3 synthesizes these components into a structured methodology, enabling agentic artificial intelligence (AI) that operates with evidence-based planning and defined safeguards. Key features of the book include:

Hardcover. Zustand: Brand New. 2nd edition. 216 pages. 10.00x7.00x10.24 inches. In Stock.

Buch. Zustand: Neu. Neuware - Generative AI in Software Development: A Practical Guide for Engineering Leaders explores how large language models and generative tools are fundamentally changing the way software is created, tested, and maintained. This isn't a theoretical or academic deep dive; it's a practical, grounded guide for developers, product teams, and tech leaders who want to understand how generative AI can be embedded into real-world software workflows. From writing and debugging code to generating UI components, managing APIs, and automating deployment tasks, this book shows how AI is becoming a true co-developer.

Buch. Zustand: Neu. Neuware - The healthcare industry is undergoing a transformative shift as artificial intelligence moves from isolated predictive models to autonomous, goal-driven agents capable of reasoning, planning, and adapting in real time.Agentic AI for Healthcare: Building Scalable Models for Production is the first comprehensive technical guide that focuses specifically on designing and deploying agentic AI systems within complex clinical and operational healthcare environments. Unlike traditional AI systems that passively infer outcomes, agentic AI involves systems that actively make decisions, coordinate with other agents, and take initiative toward long-term goals, making them ideal for dynamic and high-stakes healthcare settings. What sets this book apart is its deep technical focus tailored for computer scientists, architects, and AI engineers who are building real-world healthcare solutions. Each chapter bridges theoretical foundations with production-ready implementations using cloud-native technologies, distributed architectures, knowledge representation models, and secure deployment pipelines. With detailed case studies in oncology, vaccine management, and hospital operations, the book demonstrates how agentic AI can improve care delivery, reduce cognitive burden on clinicians, and automate routine workflows - all while meeting regulatory standards.As healthcare increasingly adopts AI-first strategies, this book fills a critical need by offering a structured, engineering-centered approach to building scalable, intelligent, and trustworthy healthcare systems.