AI-Powered Business Intelligence for Modern Organizations:
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 maintainin...
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2025]
|
| Schlagworte: | |
| Zusammenfassung: | 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. |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | xviii, 358 Seiten Illustrationen |
| ISBN: | 9798369388440 |
Internformat
MARC
| LEADER | 00000nam a22000002c 4500 | ||
|---|---|---|---|
| 001 | BV050152908 | ||
| 003 | DE-604 | ||
| 007 | t| | ||
| 008 | 250204s2025 xx a||| |||| 00||| eng d | ||
| 020 | |a 9798369388440 |9 979-8-3693-8844-0 | ||
| 035 | |a (DE-599)BVBBV050152908 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-11 | ||
| 245 | 1 | 0 | |a AI-Powered Business Intelligence for Modern Organizations |c Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India), Achyut Shankar (University of Warwick, UK) |
| 264 | 1 | |a Hershey PA, USA |b IGI Global |c [2025] | |
| 300 | |a xviii, 358 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 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. | |
| 653 | 0 | |a Business intelligence | |
| 653 | 0 | |a Artificial intelligence / Financial applications | |
| 700 | 1 | |a Natarajan, Arul Kumar |d 1986- |0 (DE-588)1305698606 |4 edt | |
| 700 | 1 | |a Galety, Mohammad Gouse |d 1976- |0 (DE-588)1305692225 |4 edt | |
| 700 | 1 | |a Iwendi, Celestine |4 edt | |
| 700 | 1 | |a Das, Deepthi |4 edt | |
| 700 | 1 | |a Shankar, Achyut |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 9798369388464 |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035489185 | |
Datensatz im Suchindex
| _version_ | 1823147016631353345 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Natarajan, Arul Kumar 1986- Galety, Mohammad Gouse 1976- Iwendi, Celestine Das, Deepthi Shankar, Achyut |
| author2_role | edt edt edt edt edt |
| author2_variant | a k n ak akn m g g mg mgg c i ci d d dd a s as |
| author_GND | (DE-588)1305698606 (DE-588)1305692225 |
| author_facet | Natarajan, Arul Kumar 1986- Galety, Mohammad Gouse 1976- Iwendi, Celestine Das, Deepthi Shankar, Achyut |
| building | Verbundindex |
| bvnumber | BV050152908 |
| ctrlnum | (DE-599)BVBBV050152908 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a22000002c 4500</leader><controlfield tag="001">BV050152908</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">250204s2025 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369388440</subfield><subfield code="9">979-8-3693-8844-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050152908</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">AI-Powered Business Intelligence for Modern Organizations</subfield><subfield code="c">Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India), Achyut Shankar (University of Warwick, UK)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey PA, USA</subfield><subfield code="b">IGI Global</subfield><subfield code="c">[2025]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xviii, 358 Seiten</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Business intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Artificial intelligence / Financial applications</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Natarajan, Arul Kumar</subfield><subfield code="d">1986-</subfield><subfield code="0">(DE-588)1305698606</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Galety, Mohammad Gouse</subfield><subfield code="d">1976-</subfield><subfield code="0">(DE-588)1305692225</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Iwendi, Celestine</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Das, Deepthi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shankar, Achyut</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">9798369388464</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035489185</subfield></datafield></record></collection> |
| id | DE-604.BV050152908 |
| illustrated | Illustrated |
| indexdate | 2025-02-04T17:01:24Z |
| institution | BVB |
| isbn | 9798369388440 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035489185 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xviii, 358 Seiten Illustrationen |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | IGI Global |
| record_format | marc |
| spelling | AI-Powered Business Intelligence for Modern Organizations Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India), Achyut Shankar (University of Warwick, UK) Hershey PA, USA IGI Global [2025] xviii, 358 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Description based on publisher supplied metadata and other sources 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. Business intelligence Artificial intelligence / Financial applications Natarajan, Arul Kumar 1986- (DE-588)1305698606 edt Galety, Mohammad Gouse 1976- (DE-588)1305692225 edt Iwendi, Celestine edt Das, Deepthi edt Shankar, Achyut edt Erscheint auch als Online-Ausgabe 9798369388464 |
| spellingShingle | AI-Powered Business Intelligence for Modern Organizations |
| title | AI-Powered Business Intelligence for Modern Organizations |
| title_auth | AI-Powered Business Intelligence for Modern Organizations |
| title_exact_search | AI-Powered Business Intelligence for Modern Organizations |
| title_full | AI-Powered Business Intelligence for Modern Organizations Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India), Achyut Shankar (University of Warwick, UK) |
| title_fullStr | AI-Powered Business Intelligence for Modern Organizations Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India), Achyut Shankar (University of Warwick, UK) |
| title_full_unstemmed | AI-Powered Business Intelligence for Modern Organizations Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India), Achyut Shankar (University of Warwick, UK) |
| title_short | AI-Powered Business Intelligence for Modern Organizations |
| title_sort | ai powered business intelligence for modern organizations |
| work_keys_str_mv | AT natarajanarulkumar aipoweredbusinessintelligenceformodernorganizations AT galetymohammadgouse aipoweredbusinessintelligenceformodernorganizations AT iwendicelestine aipoweredbusinessintelligenceformodernorganizations AT dasdeepthi aipoweredbusinessintelligenceformodernorganizations AT shankarachyut aipoweredbusinessintelligenceformodernorganizations |