{"product_id":"scaling-enterprise-solutions-with-large-language-models-comprehensive-end-to-end-generative-ai-solutions-for-production-grade-enterprise-solutions-paperback","title":"Scaling Enterprise Solutions with Large Language Models: Comprehensive End-To-End Generative AI Solutions for Production-Grade Enterprise Solutions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eArindam Ganguly\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArtificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.\u003c\/p\u003e \u003cp\u003eBy leveraging Big Data engineering and popular data cataloguing tools, you'll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You'll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.\u003c\/p\u003e \u003cp\u003eThis enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. \u003cem\u003eScaling Enterprise Solutions with Large Language Models\u003c\/em\u003e will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExamine the various phases of an AI Enterprise Applications implementation.\u003c\/li\u003e \u003cli\u003eTurn from AI engineer or Data Science to an Intelligent Enterprise Architect.\u003c\/li\u003e \u003cli\u003eExplore the seamless integration of AI in Big Data Pipelines.\u003c\/li\u003e \u003cli\u003eManage pivotal elements surrounding model development, ensuring a comprehensive understanding of the complete application lifecycle.\u003c\/li\u003e \u003cli\u003ePlan and implement end-to-end large-scale enterprise AI applications with confidence.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWh\u003c\/strong\u003e\u003cstrong\u003eo This Book Is For\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eEnterprise Architects, Technical Architects, Project Managers and Senior Developers.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArtificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.\u003c\/p\u003e \u003cp\u003eBy leveraging Big Data engineering and popular data cataloguing tools, you'll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You'll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.\u003c\/p\u003e \u003cp\u003eThis enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. \u003cem\u003eScaling Enterprise Solutions with Large Language Models\u003c\/em\u003e will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArindam Ganguly is an experienced Data Scientist in one of the leading Multi-National Software Service Firm where he is responsible for developing and designing intelligent solutions leveraging his expertise in Artificial Intelligence and Data Analytics. He has over 8 years of experience delivering enterprise products and applications and has proven skill sets in developing and managing a number of software products with various technical stacks.\u003c\/p\u003e \u003cp\u003eArindam also is well-versed in developing automation and hyper-automation solutions leveraging automated workflow engines and integrating them with AI. Additionally, he is the author of \u003cem\u003eBuild and Deploy Machine Learning Solutions using IBM Watson\u003c\/em\u003e, which teaches how to build artificial intelligent applications using the popular IBM Watson toolkit.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 445\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.94 x 9.25 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 21, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53429919580467,"sku":"9798868811531","price":66.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/8QRTw2j0oL9798868811531.webp?v=1780647117","url":"https:\/\/www.vysn.com\/en-ca\/products\/scaling-enterprise-solutions-with-large-language-models-comprehensive-end-to-end-generative-ai-solutions-for-production-grade-enterprise-solutions-paperback","provider":"VYSN","version":"1.0","type":"link"}