Scaling Big Data Leveraging Llms For Enterprise Success

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Scaling Big Data Leveraging Llms For Enterprise Success
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Author : Vincent Kanka
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-04-29
Scaling Big Data Leveraging Llms For Enterprise Success written by Vincent Kanka and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Business & Economics categories.
As enterprises navigate an increasingly data-driven world, the integration of Large Language Models (LLMs) into big data pipelines offers transformative opportunities. Scaling Big Data: Leveraging LLMs for Enterprise Success serves as a comprehensive guide for IT leaders, data scientists, and executives seeking to harness LLMs for superior analytics and decision-making. This book delves into the intersection of LLMs and big data, exploring how enterprises can scale operations while enhancing agility and insight extraction. Readers will uncover practical strategies for integrating LLMs with traditional tools like Apache Spark and Hadoop, optimizing infrastructure for real-time data processing, and employing RAG-based architectures to refine query systems. From cloud-based deployments to on-premise solutions, this guide provides actionable frameworks for building scalable, secure, and efficient systems tailored to industry-specific needs. Real-world case studies demonstrate how LLMs revolutionize workflows in finance, healthcare, marketing, and more, showcasing their ability to deliver precise, context-rich insights at scale. This book also addresses challenges such as ensuring data privacy, achieving low latency in pipelines, and navigating compliance landscapes. Emerging trends, including multi-modal LLM applications and AI- driven automation, are explored, preparing readers to stay ahead in a rapidly evolving technological landscape. Whether streamlining analytics, enhancing decision-making, or driving innovation, Scaling Big Data equips professionals with the tools to transform their enterprises and thrive in a competitive digital era.
Big Data Meets Llms A New Era Of Incident Monitoring
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Author : Yeswanth Surampudi
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-06-30
Big Data Meets Llms A New Era Of Incident Monitoring written by Yeswanth Surampudi and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-30 with Business & Economics categories.
As data-driven enterprises tackle increasingly complex systems, the fusion of Big Data and Large Language Models (LLMs) is transforming incident monitoring and response. Big Data Meets LLMs: A New Era of Incident Monitoring explores how this groundbreaking synergy enhances real-time analysis, anomaly detection, and proactive system management. This book provides a deep dive into the core frameworks of Big Data, from Hadoop to Spark, while demonstrating the integration of LLMs to deliver unprecedented contextual insights. Learn how these models elevate monitoring systems, enabling organizations to move beyond reactive incident management to predictive and adaptive solutions. With cutting-edge strategies, the book covers techniques for embedding historical data into vector databases, refining real-time contextual analysis, and building intelligent pipelines for scalable operations. Packed with case studies from industries like finance, healthcare, and telecommunications, readers will uncover practical applications of Big Data and LLMs in enhancing fraud detection, patient monitoring, and network reliability. Key insights into leveraging vector databases, optimizing real-time anomaly detection, and automating response recommendations offer a blueprint for modernizing incident response systems. Addressing challenges like latency, scalability, and ethical considerations, Big Data Meets LLMs equips IT professionals, data architects, and executives with the tools to harness advanced technologies while navigating privacy and compliance landscapes. Whether you ' re enhancing operational efficiency or future-proofing your systems, this book is your essential guide to leveraging Big Data and LLMs for enterprise success.
Cloud Innovation Scaling With Vectors And Llms
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Author : Sayantan Bhattacharyya
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-09-11
Cloud Innovation Scaling With Vectors And Llms written by Sayantan Bhattacharyya and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Business & Economics categories.
Cloud-native architectures have become the foundation for modern enterprises seeking agility, scalability, and efficiency. Cloud Innovation: Scaling with Vectors and LLMs is a definitive guide for IT leaders, solution architects, and senior managers aiming to integrate advanced technologies like vector databases and Large Language Models (LLMs) into scalable cloud systems. This book explores the principles of cloud-native systems, providing actionable insights into designing elastic and resilient architectures. Readers will learn how to leverage vector databases for high-dimensional data management and harness the power of LLMs for natural language understanding and generation. From optimizing real-time data ingestion to implementing retrieval-augmented generation (RAG) systems, the book offers practical strategies for building future-ready applications. Key topics include the integration of LLMs with vector databases, techniques for elastic scaling, cost optimization strategies, and designing systems for high availability and disaster recovery. Real-world case studies demonstrate how leading enterprises have successfully deployed these technologies to drive innovation, enhance operational efficiency, and meet evolving customer needs. Packed with insights on security, compliance, and performance optimization, Cloud Innovation also examines emerging trends in cloud computing and AI, preparing professionals to navigate the next wave of digital transformation. Whether you ' re modernizing legacy systems or pioneering AI-driven solutions, this book equips you with the tools to scale efficiently, innovate boldly, and lead in the rapidly evolving cloud ecosystem.
Vector Databases Unleashed Isolating Data In Multi Tenant Llm Systems
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Author : Jawaharbabu Jeyaraman
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2025-01-08
Vector Databases Unleashed Isolating Data In Multi Tenant Llm Systems written by Jawaharbabu Jeyaraman and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Business & Economics categories.
In the era of AI-driven innovation, multi-tenant architectures leveraging Large Language Models (LLMs) and vector databases are redefining scalability and efficiency. Vector Databases Unleashed: Isolating Data in Multi-Tenant LLM Systems is the definitive guide for senior IT professionals and data architects looking to master the intricacies of data isolation, scalability, and security in shared environments. This book delves into the foundational principles of multi-tenant systems, emphasizing robust data isolation techniques to ensure privacy and compliance in shared infrastructures. It explores the power of vector databases, their seamless integration with LLMs, and how they unlock the potential for real-time data retrieval and advanced AI applications. Readers will discover practical strategies for embedding isolation techniques, managing tenant access, and implementing scalable architectures that balance performance with security. Packed with actionable insights, the book offers detailed frameworks for designing and deploying multi- tenant LLM systems, complete with real-world case studies that highlight successful implementations and lessons learned. From physical and logical isolation models to advanced encryption and containerization, it provides a roadmap for navigating complex challenges in data-driven enterprises. Vector Databases Unleashed is essential for IT leaders, data scientists, and engineers aiming to harness the power of AI while maintaining stringent security standards in multi-tenant ecosystems. Prepare to transform your understanding of modern data architecture and drive innovation with confidence in this groundbreaking field.
Generative Ai For Enterprises
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Author : Vishal Anand
language : en
Publisher: BPB Publications
Release Date : 2024-07-26
Generative Ai For Enterprises written by Vishal Anand and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
DESCRIPTION Generative AI can streamline technical and business processes, increase efficiency, and free up your resources’ time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization’s implementation of Generative AI at scale and successfully dealing with them. This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises. This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges. KEY FEATURES ● Understand challenges and dimensions of model at scale. ● Understand model selection criteria, deployment patterns, and positioning. ● Design operating system and demarcation of landing zones. ● Understand enterprise application of prompt engineering and fine-tuning. ● Understand operating model, orchestration platform, multi AI assistants and ethical considerations. ● Understand various latency factors for Gen AI solutions. WHAT YOU WILL LEARN ● Strategies for scaling GenAI models and discovering LLMOps for managing them. ● How to leverage GenAI to streamline enterprise class processes, boost efficiency, and explore new possibilities. ● Implementations in the enterprise class deployments, addressing potential issues and connecting with enablers and accurate growth strategy and execution principles. WHO THIS BOOK IS FOR This book is for decision makers like CIOs, CTOs, CAIOs, Enterprise Architects, Chief Engineers, and anyone who wishes to learn how to have a rewarding implementation of Generative AI for their organizations and clients. TABLE OF CONTENTS 1. The Rise of Generative AI in Enterprises 2. Complex Needs of Production 3. Model Selection for Enterprises 4. Model Deployment for Enterprises 5. Operating System for Enterprises 6. Prompt Engineering for Enterprises 7. Fine-tuning for Enterprises 8. Orchestration of Generative AI Workflows 9. Six Ethical Dimensions for Enterprises 10. Designing a Target Operating Model 11. Cost Optimization Strategies 12. Retrieval-augmented Generation for Enterprises 13. Model as a Service for Enterprises 14. Confidential AI 15. Latency in Generative AI Solutions 16. Multi-modal Multi-agentic Assistant Framework for Enterprises
Data As The Fourth Pillar
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Author : Sujay Dutta
language : en
Publisher: CRC Press
Release Date : 2025-08-29
Data As The Fourth Pillar written by Sujay Dutta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-29 with Computers categories.
Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, this book provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a maturity framework to accelerate their data-centric journey. This book addresses the “why,” the “what,” and the “how” of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as total addressable value (TAV) and expected addressable value (EAV) through data to help measure the impact provided by the data pillar. This book also explores the symbiotic relationship between artificial intelligence (AI) and data, illustrating how both enable and benefit from each other. A case study by Rudiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed. This book is an essential resource for business executives in both small to medium businesses (SMBs) and large enterprises, helping them navigate a highly complex and hypercompetitive business landscape while accelerating business value for their stakeholder communities.
Document Analysis And Recognition Icdar 2024
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Author : Elisa H. Barney Smith
language : en
Publisher: Springer Nature
Release Date : 2024-09-10
Document Analysis And Recognition Icdar 2024 written by Elisa H. Barney Smith and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-10 with Computers categories.
This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Llms
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Author : Ronald Legarski
language : en
Publisher: SolveForce
Release Date : 2024-09-01
Llms written by Ronald Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.
"LLMs: From Origin to Present and Future Applications" by Ronald Legarski is an authoritative exploration of Large Language Models (LLMs) and their profound impact on artificial intelligence, machine learning, and various industries. This comprehensive guide traces the evolution of LLMs from their early beginnings to their current applications, and looks ahead to their future potential across diverse fields. Drawing on extensive research and industry expertise, Ronald Legarski provides readers with a detailed understanding of how LLMs have developed, the technologies that power them, and the transformative possibilities they offer. This book is an invaluable resource for AI professionals, researchers, and enthusiasts who want to grasp the intricacies of LLMs and their applications in the modern world. Key topics include: The Origins of LLMs: A historical perspective on the development of natural language processing and the key milestones that led to the creation of LLMs. Technological Foundations: An in-depth look at the architecture, data processing, and training techniques that underpin LLMs, including transformer models, tokenization, and attention mechanisms. Current Applications: Exploration of how LLMs are being used today in industries such as healthcare, legal services, education, content creation, and more. Ethical Considerations: A discussion on the ethical challenges and societal impacts of deploying LLMs, including bias, fairness, and the need for responsible AI governance. Future Directions: Insights into the future of LLMs, including their role in emerging technologies, interdisciplinary research, and the potential for creating more advanced AI systems. With clear explanations, practical examples, and forward-thinking perspectives, "LLMs: From Origin to Present and Future Applications" equips readers with the knowledge to navigate the rapidly evolving field of AI. Whether you are a seasoned AI professional, a researcher in the field, or someone with an interest in the future of technology, this book offers a thorough exploration of LLMs and their significance in the digital age. Discover how LLMs are reshaping industries, driving innovation, and what the future holds for these powerful AI models.
Algorithms In Advanced Artificial Intelligence
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Author : R. N. V. Jagan Mohan
language : en
Publisher: CRC Press
Release Date : 2024-07-08
Algorithms In Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Computers categories.
The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.
Kawthoolei The Path Forward
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Author : Saw LahKBaw
language : en
Publisher: Likrawkra Publishing
Release Date : 2025-05-23
Kawthoolei The Path Forward written by Saw LahKBaw and has been published by Likrawkra Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Social Science categories.
A Reflective Guide to Rebuilding Kawthoolei This book is a letter addressed to the sons and daughters of Kawthoolei—an urgent call for national renewal with a clear blueprint for action. This book is written to inform, inspire, and invite those seeking answers about rebuilding Kawthoolei. It is not intended to persuade skeptics of Kawthoolei’s cause or appease critics of the issues discussed. Readers looking for a specific political endorsement may not find what they seek—some may discover something far greater than they expected. This work does not exist to validate any political ideology. Its aim is to provide clarity and direction for those in search of understanding and meaningful action. Covering a range of topics, it is like Dar-Pwort-Hae—a spicy mountain-vegetable jumble with bold flavors. Those unprepared for its intensity may find it challenging to take in. Given the linguistic landscape, English is the most common denominator and the best choice for forward-looking content. This is a deliberate decision—made for transparency and accessibility. Some messages may seem too direct, uncomfortable, or confronting, but certain issues demand nothing less than direct sunlight—shining truth to expose and drive away the prolonged shadows of deceit and decay. This is not a history of the Karen people, nor a study of traditional culture. It is a call to make history, refine culture, and elevate political thought. Yet throughout its pages, the history and way of life of the Karen people serve as a grounding presence, connecting the themes discussed to the lived experience of a nation in the making. Drawing from the Karen people’s journey, their social and political challenges, and hard-won lessons from Singapore, South Korea, Israel, Taiwan, Thailand, and the United States, Saw LahKBaw sets forth the view that disciplined governance, rigorous STEM education, and an enterprising economy can turn hardship into sustainable progress. Exposing the dangers of ideological dependency and internal division, he highlights the enduring power of communal virtue and cultural confidence. With clear frameworks, vivid borderland vignettes, and actionable policies, this work delivers a compelling message: lasting freedom comes from character, competence, and the courage to build a future worthy of respect on the world stage.