國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

AI-powered business intelligence for...

Das, Deepthi.

AI-powered business intelligence for modern organizations

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI-powered business intelligence for modern organizationsArul Kumar Natarajan, Mohammad Gouse Galety, Celestine Iwendi, Deepthi Das, Achyut Shankar, editors.
其他題名:	Artificial intelligence-powered business intelligence for modern organizations
其他作者:	Shankar, Achyut.
出版者:	Hershey, Pennsylvania :IGI Global,2025.
面頁冊數:	1 online resource (376 p.)
標題:	Business intelligence.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8844-0
ISBN:	9798369388464$q(ebook)

AI-powered business intelligence for modern organizations
AI-powered business intelligence for modern organizations[electronic resource] /Artificial intelligence-powered business intelligence for modern organizationsArul Kumar Natarajan, Mohammad Gouse Galety, Celestine Iwendi, Deepthi Das, Achyut Shankar, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (376 p.) - Advances in business information systems and analytics (ABISA) book series. - Advances in business information systems and analytics (ABISA) book series..

Includes bibliographical references and index.

Foreword -- Preface -- Chapter 1. Integrating Sustainability Metrics Into Business Intelligence: Environmental, Social, and Governance (ESG) Factors -- Chapter 2. Leveraging AI and Machine Learning for Predictive Analytics in Business Intelligence -- Chapter 3. The Role of AI and ML in Shaping Predictive Analytics for Modern Business Intelligence: Techniques, Challenges, and Applications for Data-Driven Decision-Making -- Chapter 4. DDM: Data-Driven Marketing Using AI, ML, and Big Data -- Chapter 5. Enabling Hyper-Personalization in AI-Powered BI Systems: Augmented Analytics -- Chapter 6. Personalization and Customer Relationship Management (CRM) in AI-Powered Business Intelligence -- Chapter 7. Optimizing Supply Chain With AI-Powered BI Systems -- Chapter 8. Security, Transparency, and Traceability: Role of Blockchain in AI-Powered Supply Chain -- Chapter 9. Utilizing Business Intelligence and Machine Learning in CRM Data to Reduce Customer Churn in E-commerce Platforms -- Chapter 10. Illuminating the Convergence of Artificial Intelligence (AI) and Business Intelligence (BI) in E-Commerce and Fin-Tech in India -- Chapter 11. Impact of Artificial Intelligence on Organizational Performance of Agritech Firm -- Chapter 12. Future Directions and Trends in AI-Powered Business Intelligence -- Compilation of References -- About the Contributors -- Index.

"Technology's rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more."--

Mode of access: World Wide Web.

ISBN: 9798369388464$q(ebook)Subjects--Topical Terms:

202057
Business intelligence.
Subjects--Index Terms:

Artificial Intelligence (AI)Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HD38.7 / .A37 2025eb

Dewey Class. No.: 658.472

AI-powered business intelligence for modern organizations
LDR:04857nmm a2200541 a 4500 001 681501
006 m o d
007 cr nn |||muauu
008 251124s2025 pau ob 001 0 eng d
020 $a 9798369388464$q(ebook)
020 $z 9798369388440$q(hardback)
020 $z 9798369388457$q(paperback)
035 $a (CaBNVSL)slc00006940
035 $a (OCoLC)1463451269
035 $a 00352849
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a HD38.7 $b .A37 2025eb
082 0 4 $a 658.472 $2 23
245 0 0 $a AI-powered business intelligence for modern organizations $h [electronic resource] / $c Arul Kumar Natarajan, Mohammad Gouse Galety, Celestine Iwendi, Deepthi Das, Achyut Shankar, editors.
246 3 $a Artificial intelligence-powered business intelligence for modern organizations
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2025.
300 $a 1 online resource (376 p.)
490 1 $a Advances in business information systems and analytics (ABISA) book series
504 $a Includes bibliographical references and index.
505 0 $a Foreword -- Preface -- Chapter 1. Integrating Sustainability Metrics Into Business Intelligence: Environmental, Social, and Governance (ESG) Factors -- Chapter 2. Leveraging AI and Machine Learning for Predictive Analytics in Business Intelligence -- Chapter 3. The Role of AI and ML in Shaping Predictive Analytics for Modern Business Intelligence: Techniques, Challenges, and Applications for Data-Driven Decision-Making -- Chapter 4. DDM: Data-Driven Marketing Using AI, ML, and Big Data -- Chapter 5. Enabling Hyper-Personalization in AI-Powered BI Systems: Augmented Analytics -- Chapter 6. Personalization and Customer Relationship Management (CRM) in AI-Powered Business Intelligence -- Chapter 7. Optimizing Supply Chain With AI-Powered BI Systems -- Chapter 8. Security, Transparency, and Traceability: Role of Blockchain in AI-Powered Supply Chain -- Chapter 9. Utilizing Business Intelligence and Machine Learning in CRM Data to Reduce Customer Churn in E-commerce Platforms -- Chapter 10. Illuminating the Convergence of Artificial Intelligence (AI) and Business Intelligence (BI) in E-Commerce and Fin-Tech in India -- Chapter 11. Impact of Artificial Intelligence on Organizational Performance of Agritech Firm -- Chapter 12. Future Directions and Trends in AI-Powered Business Intelligence -- Compilation of References -- About the Contributors -- Index.
520 3 $a "Technology's rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Business intelligence. $3 202057
650 0 $a Artificial intelligence. $3 194058
650 0 $a Business planning. $3 199822
650 0 $a Technological innovations $x Economic aspects. $3 174814
653 $a Artificial Intelligence (AI)
653 $a Augmented Analytics.
653 $a Business Intelligence.
653 $a Citizen Engagement.
653 $a Consumer Vision.
653 $a Customer Relationship Management (CRM)
653 $a Decision-Making.
653 $a E-Commerce.
653 $a Financial Technologies (FinTech)
653 $a Hyper-Personalization.
653 $a Machine Learning (ML)
653 $a Natural Language Processing (NLP)
653 $a Predictive Analytics.
653 $a Public Service Delivery.
653 $a Sentiment Analysis.
653 $a Social Media.
653 $a Supply Chain Optimization.
653 $a Sustainability Metrics.
653 $a Volunteered Geographic Information.
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Shankar, Achyut. $3 994886
700 1 $a Das, Deepthi. $3 994887
700 1 $a Iwendi, Celestine. $3 961611
700 1 $a Galety, Mohammad Gouse, $d 1976- $3 994906
700 1 $a Natarajan, Arul Kumar. $3 994889
710 2 $a IGI Global. $3 529832
776 0 8 $i Print version: $z 9798369388440
830 0 $a Advances in business information systems and analytics (ABISA) book series. $3 807899
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8844-0