From Data To Decisions Ai Powered Business Intelligence Security And Fraud Detection
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From Data To Decisions Ai Powered Business Intelligence Security And Fraud Detection
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Author : Swapna Narla
language : en
Publisher: sarvad publication
Release Date : 2025-05-28
From Data To Decisions Ai Powered Business Intelligence Security And Fraud Detection written by Swapna Narla and has been published by sarvad publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Antiques & Collectibles categories.
The rise of data-driven decision-making didn’t happen overnight. It’s been a gradual evolution, powered by advancements in cloud computing, the Internet of Things (IoT), mobile technologies, and now, artificial intelligence. But today, it’s not just tech giants or startups that are benefiting. Every industry—from healthcare and retail to manufacturing and finance—is feeling the impact. The COVID-19 pandemic, in particular, accelerated this shift. Organizations needed to adapt quickly, often without the luxury of traditional market research or long-term planning. In this fast-moving environment, real-time data became a lifeline. Businesses turned to dashboards, predictive analytics, and AI models to help them understand changing customer needs, supply chain disruptions, and shifting work dynamics
Intersection Of Ai And Business Intelligence In Data Driven Decision Making
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Author : Natarajan, Arul Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-28
Intersection Of Ai And Business Intelligence In Data Driven Decision Making written by Natarajan, Arul Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.
Ai Meets Bi
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Author : Lakshman Bulusu
language : en
Publisher: CRC Press
Release Date : 2020-11-03
Ai Meets Bi written by Lakshman Bulusu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Computers categories.
With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.
Mastering Microsoft Fabric Unified Data Engineering Governance And Artificial Intelligence In The Cloud
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Author :
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-12
Mastering Microsoft Fabric Unified Data Engineering Governance And Artificial Intelligence In The Cloud written by and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
The development of cloud platforms has changed how organizations manage data, implement governance, and incorporate artificial intelligence into business processes. Microsoft Fabric combines data engineering, governance, real-time analytics, and AI into a single, scalable ecosystem. This book, Mastering Microsoft Fabric: Unified Data Engineering, Governance, and AI in the Cloud, is designed for professionals, researchers, and architects interested in Microsoft Fabric. It covers real-world use cases, architectural patterns, and practical implementations, this guide explores how to build modern, governed, and intelligent data systems that meet the demands of today’s dynamic digital environments. Drawing on extensive experience in databases, cybersecurity, and AI, I have written this book to address the divide between theoretical concept and practical implementation. This work focuses on role- and rule-based access control, multi-tenant data governance, AI integration, and secure data pipelines, all critical pillars in modern enterprise architecture. This book functions as both a technical guide and a strategic reference, outlining how Microsoft Fabric is influencing cloud-native data engineering and decision-making. It aims to inform readers about compliance focused architectures and servers as a resource for professionals working within cloud-first and AI-driven environments.
The Convergence Of Ai Machine Learning And Business Intelligence Transforming Data Driven Decision Making For The Future Of Enterprises
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Author : Niharika Katnapally
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :
The Convergence Of Ai Machine Learning And Business Intelligence Transforming Data Driven Decision Making For The Future Of Enterprises written by Niharika Katnapally and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Advancing Business Intelligence In Housing Finance Deploying Ai Powered Apis Neural Networks And Predictive Data Analytics For Efficient Loan Processing Fraud Detection And Market Trend Analysis
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Author : Someshwar Mashetty
language : en
Publisher: Caneda Global Journal Group
Release Date :
Advancing Business Intelligence In Housing Finance Deploying Ai Powered Apis Neural Networks And Predictive Data Analytics For Efficient Loan Processing Fraud Detection And Market Trend Analysis written by Someshwar Mashetty 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 Business & Economics categories.
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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.
Ai Powered Software Audits Revolutionizing Audit Compliance Risk Security And Governance For Organizations
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Author : Jayant Deshmukh
language : en
Publisher: Jayant Deshmukh
Release Date : 2025-02-21
Ai Powered Software Audits Revolutionizing Audit Compliance Risk Security And Governance For Organizations written by Jayant Deshmukh and has been published by Jayant Deshmukh this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.
AI-Powered Software Audits: Revolutionizing Audit, Compliance, Risk, Security, and Governance for Organizations 🔍 Is your organization ready for the future of software audits? Stay ahead of compliance risks, security vulnerabilities, and governance challenges with AI-driven audit automation—a game-changer in today's digital era. 💡 The Future of Auditing is Here! With rapid technological advancements, traditional auditing methods are struggling to keep pace with evolving cyber threats, regulatory changes, and data complexities. This groundbreaking book explores how Artificial Intelligence (AI), automation, and predictive analytics are transforming software audits, making them more accurate, efficient, and risk-proof than ever before. What You’ll Discover Inside: ✔ How AI-powered audits reduce risks and detect anomalies in real-time ✔ Key performance indicators (KPIs) to measure AI-driven audit success ✔ Detailed overview of AI tools for Compliance, Risk Management, Security, Governance, Automation & workflow Management and Data Analytics ✔ Emerging trends like Generative AI, blockchain integration, and autonomous audits ✔ Real-world case studies on AI’s impact on compliance, security, and governance ✔ Actionable strategies for organizations to embrace AI-driven audit automation 📖 Perfect for: IT and compliance professionals Auditors, risk managers, and decision-makers Organizations striving for compliance, security, and governance excellence ⚡ Embrace AI, Secure Your Future! AI is not just an option—it’s the future of auditing. Don't get left behind in outdated, manual processes. Get your copy today and future-proof your organization with AI-driven software audits! 🚀
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
Digital Technology Information Systems
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Author : Debasis Dhal
language : en
Publisher: Authors Click Publishing
Release Date : 2025-04-29
Digital Technology Information Systems written by Debasis Dhal and has been published by Authors Click Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Technology & Engineering categories.
This book provides a comprehensive understanding of digital technology, information systems, and their growing significance in modern society. It covers a wide range of topics, starting with the evolution of digital systems and their role in communication, computing, and software. Readers will gain insights into computer systems, their components, software types, and operating systems. A significant part of this book focuses on communication systems, including the internet, networking, web technologies, search engines, and social media. It explains the impact of e-commerce, digital marketing, and financial tools like UPI, AEPS, and cryptocurrencies. The book also discusses India's digital transformation through Digital India and e-Governance initiatives. The book covers cybersecurity in detail, discussing its threats, safety measures, hacking, and antivirus tools to ensure secure digital interactions. It also introduces emerging technologies such as cloud computing, IoT, big data, blockchain, robotics, AI, and 3D printing by showcasing their applications and future potential. The book also provides a comprehensive overview of Artificial Intelligence (AI), explaining its scope, machine learning techniques and applications in industries like healthcare, finance, and education. Lastly, it provides a structured question bank which serves as a valuable resource for students, professionals, and technology enthusiasts aiming to excel in the digital era.