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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Enterprise Guide for Implementing Generative AI and Agentic AI
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Enterprise Guide for Implementing Generative AI and Agentic AI
Shakuntala Gupta Edward, Rahul Bhattacharya, Vikas Sinha (Broschiert, Englisch)
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Beschreibung
Generative AI and Agentic AI together are revolutionizing the technology landscape, with profound and far-reaching impacts across industries. Organizations are increasingly adopting these technologies to drive innovation, enhance unstructured content management, and improve problem-solving capabilities. With Agentic AI, enterprises are moving towards the development of intelligent systems that can… plan, reason, and act with autonomy. While early proof-of-concepts (POCs) demonstrated the potential of these technologies, the current shift is toward responsible and scalable production implementations that leverage both generative and agentic capabilities. This book begins by guiding you through the technological evolution of AI, from early machine learning to today’s large language models (LLMs) and agentic systems. It then explores a wide range of use cases across industries, highlighting how LLMs can support decision-making, and how Agentic AI enables dynamic, collaborative systems that act with autonomy and intent. This is followed by Design Patterns across the lifecycle of AI solution development, deployment and monitoring. Readers will then gain insights into the methodologies for developing and deploying Generative and Agentic AI solutions at an enterprise level. A featured implementation demonstrates how Agentic AI can be effectively put into action. The book also introduces essential concepts such as MLOps, LLMOps, and Responsible AI principles which are critical for transitioning the AI solutions from experimentation to production. These principles ensure that AI deployments are scalable, secure, ethical and compliant. The book concludes with key takeaways and best practices for developing, evaluating, deploying and scaling AI applications responsibly and effectively within enterprise settings. You Will: Understand key design patterns to develop, deploy and monitor a Generative AI solution effectively. Learn how to develop and implement a production-ready Agentic AI use case. Discover best practices for building scalable, secure, and enterprise-grade AI solutions. Understand how to assess and mitigate risks using Responsible AI principles and LLMOps best practices. This book is for : Enterprise Software Engineers and Architects 40,65 €
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Technische Daten
Erscheinungsdatum
16.11.2025
Sprache
Englisch
EAN
9798868816024
Herausgeber
APRESS
Sonderedition
Nein
Autor
Shakuntala Gupta Edward, Rahul Bhattacharya, Vikas Sinha
Seitenanzahl
409
Einbandart
Broschiert
Buch Untertitel
A Practical Guide to Developing, Deploying, and Operationalizing AI-Driven Applications for Enterprise Use
Schlagwörter
Generative AI, Enterprises, Agentic Workflow, Integrating AI, Responsible AI, LLMOps, MLOps
Thema-Inhalt
UT - Computernetzwerke und maschinelle Kommunikation
UYQM - Maschinelles Lernen
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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