LEADER 03668nam 2200637Ia 450 001 9910139595703321 005 20230214001424.0 010 $a1-283-27413-2 010 $a9786613274137 010 $a1-4443-4282-7 010 $a1-4443-4279-7 035 $a(CKB)2550000000054336 035 $a(EBL)819298 035 $a(OCoLC)758483742 035 $a(SSID)ssj0000550603 035 $a(PQKBManifestationID)11337041 035 $a(PQKBTitleCode)TC0000550603 035 $a(PQKBWorkID)10509203 035 $a(PQKB)11359103 035 $a(MiAaPQ)EBC819298 035 $a(Au-PeEL)EBL819298 035 $a(CaPaEBR)ebr10501379 035 $a(CaONFJC)MIL327413 035 $a(EXLCZ)992550000000054336 100 $a20110309d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSix minor prophets through the centuries$b[electronic resource] $eNahum, Habakkuk, Zephaniah, Haggai, Zechariah, and Malachi /$fRichard Coggins, Jin H. Han 210 $aChichester, West Sussex ;$aMalden, MA $cWiley-Blackwell$d2011 215 $a1 online resource (298 p.) 225 1 $aBlackwell bible commentaries ;$v29 300 $aDescription based upon print version of record. 311 $a1-119-67388-7 311 $a1-4051-7675-X 320 $aIncludes bibliographical references and index. 327 $aSix Minor Prophets Through the Centuries; Contents; List of Illustrations; Series Editors' Preface; Preface; Acknowledgments; Abbreviations; I Nahum, Habakkuk, and Zephaniah; Introduction; The Three Among the Twelve; The Manner of Presentation; 1 Nahum; Nahum in Literature; Nahum in the Arts; Nahum in Worship; Nahum 1: The Avenging God; Nahum 2: Destruction of Nineveh; Nahum 3: Woe Oracle against the City of Bloodshed; 2 Habakkuk; Habakkuk in Literature; Habakkuk in the Arts; Habakkuk in Worship; Habakkuk 1: The Prophet's Lament and God's Reply 327 $aHabakkuk 2: God's Counsel of Faith and Woe OraclesHabakkuk 3: The Prophet's Prayer; 3 Zephaniah; Zephaniah in the Arts; Zephaniah and Dies Irae; Zephaniah in Worship; Zephaniah 1: The Divine Justice and the Day of the Lord; Zephaniah 2: Oracles against the Nations; Zephaniah 3: The Remnant of Israel and the Joy of the Lord; II Haggai, Zechariah, and Malachi; Introduction; Linkages; 4 Haggai; Haggai 1; Haggai 2; 5 Zechariah; Zechariah 1; Zechariah 2; Zechariah 3-4; Zechariah 5; Zechariah 6; Zechariah 7; Zechariah 8; Zechariah 9-14; Zechariah 11-13; Zechariah 14; 6 Malachi; Malachi 1; Malachi 2 327 $aMalachi 3Malachi 4; Glossary; Brief Biographies; Bibliography; Online Sources (Select); Index of Biblical References; Index of Names and Subjects 330 $aSix Minor Prophets Through the Centuries is the work of highly respected biblical scholars, Richard Coggins and Jin H. Han. The volume explores the rich and complex reception history of the last six Minor Prophets in Jewish and Christian exegesis, theology, worship, and arts. This text is the work of two highly respected biblical scholarsIt explores the rich and complex reception history of the last six Minor Prophets in Jewish and Christian theology and exegesis 410 0$aBlackwell Bible commentaries ;$v29. 606 $aProphets 615 0$aProphets. 676 $a224/.907 686 $aREL006730$2bisacsh 700 $aCoggins$b Richard$f1929-2017.$01275690 701 $aHan$b Jin Hee$0884635 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139595703321 996 $aSix minor prophets through the centuries$93007895 997 $aUNINA LEADER 04481nam 22005415 450 001 9911021144803321 005 20250814130233.0 010 $a979-88-6881-542-3 024 7 $a10.1007/979-8-8688-1542-3 035 $a(MiAaPQ)EBC32262222 035 $a(Au-PeEL)EBL32262222 035 $a(CKB)40332808900041 035 $a(CaSebORM)9798868815423 035 $a(OCoLC)1532521571 035 $a(OCoLC-P)1532521571 035 $a(DE-He213)979-8-8688-1542-3 035 $a(OCoLC)1535400231 035 $a(EXLCZ)9940332808900041 100 $a20250814d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgentic AI in Enterprise $eHarnessing Agentic AI for Business Transformation /$fby Sumit Ranjan, Divya Chembachere, Lanwin Lobo 205 $a1st ed. 2025. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2025. 215 $a1 online resource (267 pages) 225 1 $aProfessional and Applied Computing Series 311 08$a979-88-6881-541-6 327 $aChapter 1: Introduction to Enterprise Agentic AI -- Chapter 2: Designing with the Well-Architected Agentic AI Framework -- Chapter 3: Architectural Patterns for LLM Adoption in Agentic AI -- Chapter 4: Enhancing LLMs for Agentic AI: RAG vs. Fine-Tuning -- Chapter 5: Mastering Prompt Engineering in Enterprise Agentic AI -- Chapter 6: Vector Databases in AI Applications in Enterprise Agentic AI -- Chapter 7: Ethical and Security Considerations in Enterprise Agentic AI -- Chapter 8: Case Studies: Agentic AI - Real-World Applications -- Chapter 9: AI AGENTS- Future Trends in Enterprise AI -- Chapter 10: Conclusion ? The Age of Enterprise Agentic AI. 330 $aThis book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security. Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption. Through real-world case studies, the book illustrates AI?s impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings. By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards. You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations. Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows. Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption. Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards. 410 0$aProfessional and Applied Computing Series 606 $aArtificial intelligence$xIndustrial applications 606 $aBusiness enterprises$xTechnological innovations 615 0$aArtificial intelligence$xIndustrial applications. 615 0$aBusiness enterprises$xTechnological innovations. 676 $a658.5/14 700 $aRanjan$b Sumit$01844475 701 $aChembachere$b Divya$01844476 701 $aLobo$b Lanwin$01844477 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911021144803321 996 $aAgentic AI in Enterprise$94427130 997 $aUNINA