Future Of Intelligence Integrating Big Data Ai Ml And Generative Ai For Business Transformation
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Future Of Intelligence Integrating Big Data Ai Ml And Generative Ai For Business Transformation
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Author : Venkata Nagesh Boddapati
language : en
Publisher: JEC PUBLICATION
Release Date :
Future Of Intelligence Integrating Big Data Ai Ml And Generative Ai For Business Transformation written by Venkata Nagesh Boddapati and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Young Adult Nonfiction categories.
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Artificial Intelligence In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-15
Artificial Intelligence In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Comics & Graphic Novels categories.
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025
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Author : Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025 written by Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the rapidly evolving landscape of technology, enterprises are increasingly turning to artificial intelligence (AI) to drive innovation, efficiency, and growth. The integration of AI into enterprise architecture has shifted from a trend to an essential strategy for businesses looking to maintain a competitive edge. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is written to explore the transformative impact of AI across all layers of enterprise systems, from data engineering and analytics to innovative generative AI technologies that are reshaping industries. In today’s digital age, businesses face an explosion of data that is often unstructured, decentralized, and sold. For AI to truly revolutionize enterprise systems, there must be a solid architecture that not only supports large-scale data processing but also enables the seamless integration of AI technologies into every corner of the organization. This book takes a comprehensive approach to AI-driven enterprise architecture, focusing on the technical, strategic, and operational challenges and opportunities associated with AI adoption. The journey from data engineering to generative AI requires a solid foundation of data management and processing capabilities. The book begins by discussing the critical importance of data engineering, the practice of building robust systems for collecting, storing, and transforming data into actionable insights. Understanding how to build and maintain efficient data pipelines, databases, and data lakes forms the backbone of AI integration in an enterprise. This foundational understanding sets the stage for deploying machine learning (ML) models and AI-driven tools, which require sophisticated infrastructure to function on a scale. The integration of machine learning and AI models into enterprise architecture is the central focus of this book. As businesses recognize the value of AI in improving decision-making, automation, and customer experiences, this book guides readers through how to implement AI across multiple enterprise functions. From predictive analytics and automation to natural language processing (NLP) and computer vision, we will examine how these AI technologies interact with existing enterprise systems to create smarter, more efficient business operations. One of the most exciting and rapidly advancing fields in AI is generative AI—a technology that can create new data, designs, or content based on learned patterns. Generative AI tools like GPT-3, DALL-E, and stable diffusion models are now being used to generate text, images, code, and even video. The power of these models lies in their ability to produce new, high-quality content that can be harnessed for marketing, customer engagement, product development, and innovation. This book explores how generative AI fits within the broader enterprise architecture and how businesses can leverage these capabilities to unlock new value streams, foster creativity, and enhance productivity. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is designed for business leaders, data engineers, architects, and AI practitioners who are looking to understand the potential of AI in their organizations. Through real-world case studies, best practices, and technical insights, this book aims to provide a holistic view of how AI-driven enterprise architecture can deliver long-term strategic value. The book also delves into the challenges and ethical considerations of AI implementation, particularly with regard to data privacy, algorithmic bias, and governance, ensuring that AI is deployed responsibly and sustainably. As businesses embrace AI technologies, it is clear that the future of enterprise architecture will be driven by data-centric, AI-powered models that allow organizations to be more adaptive, responsive, and innovative. This book offers a roadmap for navigating that future, helping organizations transform their architecture to support the AI-driven, intelligent enterprise of tomorrow. We invite you to embark on this journey through the evolving world of AI-driven enterprise architecture, where the combination of data engineering, machine learning, and generative AI is shaping the future of businesses across the globe. Authors
Ai And The Revival Of Big Data
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Author : Ayyalasomayajula, Madan Mohan Tito
language : en
Publisher: IGI Global
Release Date : 2025-02-05
Ai And The Revival Of Big Data written by Ayyalasomayajula, Madan Mohan Tito and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
The interplay between big data and Artificial Intelligence has redefined how organizations process, analyze, and utilize information in the modern era. By leveraging AI, big data has transitioned from a static resource to a dynamic force capable of driving innovation, creating strategic insights, and transforming industries. This evolution underscores the importance of building trust in both human and technological systems to manage data responsibly and effectively. As the reliance on data-driven decision-making grows, understanding this relationship is vital for advancing societal progress and fostering sustainable development. AI and the Revival of Big Data offers a nuanced understanding of the evolution of big data and its enduring significance in the digital age. Additionally, the discussion of AI's role in revitalizing big data will inspire new avenues of research and collaboration across disciplines. Covering topics such as load distribution, financial malfeasance, image analysis, this book is an excellent resource for data scientists, business leaders, practitioners, policymakers, and industry professionals, professionals, researchers, scholars, academicians, and more.
Transforming Data Pipelines With Generative Ai And Deep Learning
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Author : Arun Kumar Ramachandran Sumangala Devi
language : en
Publisher: BUDHA PUBLISHER
Release Date :
Transforming Data Pipelines With Generative Ai And Deep Learning written by Arun Kumar Ramachandran Sumangala Devi and has been published by BUDHA PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Evolution Of Management Practice
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Author : J. Mark Munoz
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-02-17
Evolution Of Management Practice written by J. Mark Munoz and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Business & Economics categories.
The practice of management has experienced significant changes in recent years. Advances in technology, globalization, cultural shifts, competitive pressures, and the unpredictability of a fast-paced business environment have presented new challenges as well as opportunities for today’s managers. Evolution of Management Practice has assembled the viewpoints of leading academics, management practitioners, and business consultants in order to uncover the most effective approaches pertaining to planning, leading, organizing and controlling. The chapters delve into the challenges of digital transformations, the use of AI, sustainability issues, supply chain changes and the need for design thinking and new human resource practices. This book is an authoritative reference for professionals, consultants, policymakers and students and scholars of management, leadership, entrepreneurship and economics who realize that traditional management approaches need to be refined and reinvented to suit contemporary times. It will guide the practice of management for many years to come.
Ai In Marketing Sales And Service
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Author : Peter Gentsch
language : en
Publisher: Springer
Release Date : 2018-10-22
Ai In Marketing Sales And Service written by Peter Gentsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Computers categories.
AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.
Charting The Ai Transition In Education And Business Environments
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Author : James Hutson
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-18
Charting The Ai Transition In Education And Business Environments written by James Hutson and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Education categories.
This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture—often termed the inflection point—in adopting generative Artificial Intelligence (AI). Addressing the exigent shift in organizational strategy mandated by Industry 4.0, and urging a transition from mere digital transformation to what is being progressively understood as "generative transformation,” it fills a conspicuous lacuna in both academic and practical discourses by presenting a timely synthesis of research, empirical studies, and case analyses. The authors utilize an interdisciplinary methodology, bridging the epistemological divide between the technological intricacies of generative AI and its effective implementation within institutional frameworks. Reorienting the focus of organizational leaders from a simplistic replacement paradigm to one of technological-human augmentation, it works toward a prescriptive blueprint for enabling organizations to adopt generative AI without compromising their most valuable asset: human intellectual and emotional capital. Fostering interdisciplinary dialog among academics, industry professionals, and policymakers, it fills a critical gap in current discourses and serves as a catalyst for future research and collaboration.
The Intelligent Backbone Big Data And Machine Learning Driving Telecom Range And Security
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Author : Venkata Bharadwaj Komaragiri
language : en
Publisher: CANEDA GLOBAL JOURNAL GROUP
Release Date :
The Intelligent Backbone Big Data And Machine Learning Driving Telecom Range And Security written by Venkata Bharadwaj Komaragiri and has been published by CANEDA GLOBAL JOURNAL GROUP this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Empowering Iot With Big Data Analytics
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Author : Mohamed Adel Serhani
language : en
Publisher: Elsevier
Release Date : 2024-11-16
Empowering Iot With Big Data Analytics written by Mohamed Adel Serhani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.
Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data. - Introduces fundamental concepts of big data analytics and their applications to IoT - Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-making - Explores federated learning in big data to ensure data privacy and handle data heterogeneity