Info
Artificial Intelligence-Enabled Businesses : How to Develop Strategies for Innovation
| Artificial Intelligence-Enabled Businesses : How to Develop Strategies for Innovation |
| Autore | Dixit Sweta |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (544 pages) |
| Disciplina | 658.0563 |
| Altri autori (Persone) |
MauryaMohit
JainVishal SubramaniamGeetha |
| Soggetto topico | Business - Technological innovations |
| ISBN |
9781394233991
139423399X 9781394234004 1394234007 9781394234028 1394234023 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1 Crafting Effective AI Adoption Strategies 1 Aarti Neema and Rashid Khan -- 2 Role of Artificial Intelligence in Management and Preservation of Old Text Through New Tech 25 Veenus Jain, Pallavi Mohanan and Mkrtchyan Naira -- 3 Deployment of AI and ML Techniques in the Form of Ontology for Improving Business Management Perspectives 39 Aman Jandwani, Balraj Verma, Amit Mittal, Paras Jandwani and Gagandeep Singh Narula -- 4 Blockchain in Supply Chain Management: Applications, Advantages and Challenges 57 Pijush Kanti Dutta Pramanik and Saurabh Pal -- 5 Artificial Intelligence for Supply Chain Optimization: Benefits, Challenges, and Potential Solutions 81 Dhruv Kishore Bole and Narasimha Rao Vajjhala -- 6 Fusing New Age Technologies with Marketing Management: Navigating the Digital Frontier 95 Ankitha K., Jayapadmini Kanchan, Harish Kunder, Shwetha S. Shetty, Ganaraj K. and Madhura Hegde -- 7 Nth Floor at Accenture--Next-Gen Onboarding Using Metaverse 105 Rachna Bansal Jora, Ansh Agrawal, Edoardo Mazzetto, Sweta Dixit and Samson Lallawmkipa Darlong -- 8 Smart HR with Smart Technologies 121 Arnav Malhotra, Alka Maurya and Balasundram Maniam -- 9 Securing Business Transactions Using Merkle Tree 137 Ambika N. -- 10 InvestoAI-Tailored Investment Recommendation 159 Niomi Samani, Tejas Uttare, Rama M. Maliya and Kedar Semani -- 11 Using AI Technology to Enhance Data-Driven Decision-Making in the Financial Sector 187 Meng Wu, Geetha Subramaniam, Zeyu Li and Xiuchun Gao -- 12 The Role of Artificial Intelligence (AI) in the Transformation of Small- and Medium-Sized Businesses: Challenges and Opportunities 209 Arjita Jain, Kiran Shrimant Kakade and Swati Amit Vispute -- 13 Applications of Artificial Intelligence and Machine Learning-Enabled Businesses: A SWOT Analysis for Human Society 227 Santanu Koley, Shatadru Sengupta, Bipasha Biswas, Kankana Datta, Manasi Jana and Apratim Mitra -- 14 Gamified Learning Environments for Higher Education Sustainability in Delhi Metropolitan Region 263 Sonia Yadav, Sweta Dixit, Rachna Bansal and Canh Van Ta -- 15 Exploring the Impact of AI on Management and Healthcare for Streamlining Operations and Decision-Making 275 Pranshu Mathur and Ajay Kumar -- 16 Empowering Defense: Harnessing AI for Next-Generation Warfare 289 Nikki Rani, Komal Jindal, Rita Chikkara and Nidhi Malik -- 17 Industry Augmented Reality Along with Artificial Intelligence: Developments, Resources, and Possible Concerns 311 Sarabjeet Singh Sethi and Priyanka Sharma -- 18 Transformative Effects of Smarter Chatbots: Unravelling the Vision, Challenges, and @Capabilities of ChatGPT-Conversational AI 333 C. Kishor Kumar Reddy, Patlolla Sathvika Reddy, Ashritha Pilly and Srinath Doss -- 19 Application of Artificial Intelligence in Business Management for Prudent Decision Making 351 Syed Tabassum Sultana and T. Venkat Narayana Rao -- 20 Technology-Driven Business Ethics: A Philosophical Discourse 371 Sooraj Kumar Maurya, Amarbahadur Yadav and Rajiv Nayan -- 21 Harnessing the Power of Artificial Intelligence for Sustainable Development 391 Ayan Harsh Sinha, Alka Maurya and J. Mark Munoz -- 22 University Students' Perception of Artificial Intelligence (AI) for Entrepreneurship Development in Selected Asian Countries of China, India, Indonesia, and Malaysia 397 Doris Padmini Selvaratnam, Jaheer Mukhtar K.P., Evi Gravitiani and Wen Meiting -- 23 Clubhouse Unleashed: Harnessing the Power of Voice for Robust Social Networking and Business Growth 421 Pooja Darda, Shailesh Pandey, Om Jee Gupta, Manpreet Kaur and Sanjaya Singh Gaur -- 24 Artificial Intelligence (AI) as Strategy to Gain Competitive Advantage for Australian Higher Education Institutions (HEI) Under the New Post COVID-19 Scenario 439 Rubaiyet Hasan Khan and Rohini Balapumi -- 25 AI for a Better Future--Perspectives from Young Employees in Malaysia and China 451 Geetha Subramaniam, Wang Zhe, Zhu Dan and Narayanaswami Subramaniam -- 26 Personalization and Customer Experience in the Era of Data-Driven Marketing 467 Ambarish G. Mohapatra, Anita Mohanty, Subrat Kumar Mohanty, Nitaigour Premchand Mahalik and Sasmita Nayak -- References -- Index. |
| Record Nr. | UNINA-9911018826903321 |
Dixit Sweta
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Blockchain-Enabled Solutions for the Pharmaceutical Industry
| Blockchain-Enabled Solutions for the Pharmaceutical Industry |
| Autore | Wason Ritika |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (580 pages) |
| Disciplina | 338.4/761510285 |
| Altri autori (Persone) |
AroraParul
NandParma JainVishal KukrejaVinay |
| Soggetto topico | Pharmaceutical industry - Technological innovations |
| ISBN |
9781394287949
1394287941 9781394287970 1394287976 9781394287956 139428795X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911019766203321 |
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Wason Ritika
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cyber-Physical Systems : Foundations and Techniques
| Cyber-Physical Systems : Foundations and Techniques |
| Autore | Sharma Uzzal |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2022 |
| Descrizione fisica | 1 online resource (340 pages) |
| Altri autori (Persone) |
NandParma
ChatterjeeJyotir Moy JainVishal JhanjhiNoor Zaman SujathaR |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-83663-8
1-119-83662-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585797703321 |
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Sharma Uzzal
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| Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning for Personalized Healthcare Services / / ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee
| Deep Learning for Personalized Healthcare Services / / ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 250 p.) |
| Collana | Intelligent Biomedical Data Analysis |
| Soggetto topico | COMPUTERS / Social Aspects / General |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-11-070812-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Acknowledgments -- Contents -- Short Biography of Editors -- List of Contributors -- Deep learning for health and medicine -- Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- Advanced deep learning techniques and applications in healthcare services -- Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- Early cancer predictions using ensembles of machine learning and deep learning -- Deep learning in patient management and clinical decision making -- Patient health record system -- Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- An overview of the technological performance of deep learning in modern medicine -- Index |
| Record Nr. | UNINA-9910554282103321 |
| Berlin ; ; Boston : , : De Gruyter, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning with Health Care Perspective : Machine Learning and Healthcare / / edited by Vishal Jain, Jyotir Moy Chatterjee
| Machine Learning with Health Care Perspective : Machine Learning and Healthcare / / edited by Vishal Jain, Jyotir Moy Chatterjee |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (418 pages) |
| Disciplina | 610.28563 |
| Collana | Learning and Analytics in Intelligent Systems |
| Soggetto topico |
Computational intelligence
Biomedical engineering Computational Intelligence Biomedical Engineering and Bioengineering |
| ISBN | 3-030-40850-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Machine learning for Healthcare: Introduction -- Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, algorithms and applications -- Chapter 3: Intelligent Learning Analytics in Healthcare Sector Using Machine Learning -- Chapter 4: Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization -- Chapter 5: Machine Learning for Healthcare Diagnostics -- Chapter 6: Disease Detection System (DDS) Using Machine Learning Technique -- Chapter 7: Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to determine Human Age and Gender -- Chapter 8: Deep Learning Solutions for Skin Cancer Detection and Diagnosis -- Chapter 9: Security of Healthcare Systems with Smart Health Records using Cloud Technology -- Chapter 10: Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis -- Chapter 11: Medical Text and image processing: Applications, issues and challenges -- Chapter 12: Machine Learning Methods for Managing Parkinson’s Disease -- Chapter 13: An Efficient Method for Computer-aided Diagnosis of Cardiac Arrhythmias -- Chapter 14: Clinical decision support systems and predictive analytics -- Chapter 15: Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and Computational Study -- Chapter 16: Identifying Diseases and Diagnosis using Machine Learning. |
| Record Nr. | UNINA-9910483000003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The smart cyber ecosystem for sustainable development / / edited by Pardeep Kumar, Vishal Jain, Vasaki Ponnusamy
| The smart cyber ecosystem for sustainable development / / edited by Pardeep Kumar, Vishal Jain, Vasaki Ponnusamy |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021] |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Internet of things Computer networks - Social aspects |
| ISBN |
1-119-76166-2
1-119-76165-4 1-119-76167-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910554856203321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The smart cyber ecosystem for sustainable development / / edited by Pardeep Kumar, Vishal Jain, Vasaki Ponnusamy
| The smart cyber ecosystem for sustainable development / / edited by Pardeep Kumar, Vishal Jain, Vasaki Ponnusamy |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021] |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Internet of things Computer networks - Social aspects |
| ISBN |
1-119-76166-2
1-119-76165-4 1-119-76167-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1: INTERNET OF THINGS -- 1 Voyage of Internet of Things in the Ocean of Technology -- 1.1 Introduction -- 1.1.1 Characteristics of IoT -- 1.1.2 IoT Architecture -- 1.1.3 Merits and Demerits of IoT -- 1.2 Technological Evolution Toward IoT -- 1.3 IoT-Associated Technology -- 1.4 Interoperability in IoT -- 1.5 Programming Technologies in IoT -- 1.5.1 Arduino -- 1.5.2 Raspberry Pi -- 1.5.3 Python -- 1.6 IoT Applications -- Conclusion -- References
2 AI for Wireless Network Optimization: Challenges and Opportunities -- 2.1 Introduction to AI -- 2.2 Self-Organizing Networks -- 2.2.1 Operation Principle of Self-Organizing Networks -- 2.2.2 Self-Configuration -- 2.2.3 Self-Optimization -- 2.2.4 Self-Healing -- 2.2.5 Key Performance Indicators -- 2.2.6 SON Functions -- 2.3 Cognitive Networks -- 2.4 Introduction to Machine Learning -- 2.4.1 ML Types -- 2.4.2 Components of ML Algorithms -- 2.4.3 How do Machines Learn? -- 2.4.4 ML and Wireless Networks -- 2.5 Software-Defined Networks -- 2.5.1 SDN Architecture -- 2.5.2 The OpenFlow Protocol 2.5.3 SDN and ML -- 2.6 Cognitive Radio Networks -- 2.6.1 Sensing Methods -- 2.7 ML for Wireless Networks: Challenges and Solution Approaches -- 2.7.1 Cellular Networks -- 2.7.2 Wireless Local Area Networks -- 2.7.3 Cognitive Radio Networks -- References -- 3 An Overview on Internet of Things (IoT) Segments and Technologies -- 3.1 Introduction -- 3.2 Features of IoT -- 3.3 IoT Sensor Devices -- 3.4 IoT Architecture -- 3.5 Challenges and Issues in IoT -- 3.6 Future Opportunities in IoT -- 3.7 Discussion -- 3.8 Conclusion -- References -- 4 The Technological Shift: AI in Big Data and IoT 4.1 Introduction -- 4.2 Artificial Intelligence -- 4.2.1 Machine Learning -- 4.2.2 Further Development in the Domain of Artificial Intelligence -- 4.2.3 Programming Languages for Artificial Intelligence -- 4.2.4 Outcomes of Artificial Intelligence -- 4.3 Big Data -- 4.3.1 Artificial Intelligence Methods for Big Data -- 4.3.2 Industry Perspective of Big Data -- 4.4 Internet of Things -- 4.4.1 Interconnection of IoT With AoT -- 4.4.2 Difference Between IIoT and IoT -- 4.4.3 Industrial Approach for IoT -- 4.5 Technical Shift in AI, Big Data, and IoT 4.5.1 Industries Shifting to AI-Enabled Big Data Analytics -- 4.5.2 Industries Shifting to AI-Powered IoT Devices -- 4.5.3 Statistical Data of These Shifts -- 4.6 Conclusion -- References -- 5 IoT's Data Processing Using Spark -- 5.1 Introduction -- 5.2 Introduction to Apache Spark -- 5.2.1 Advantages of Apache Spark -- 5.2.2 Apache Spark's Components -- 5.3 Apache Hadoop MapReduce -- 5.3.1 Limitations of MapReduce -- 5.4 Resilient Distributed Dataset (RDD) -- 5.4.1 Features and Limitations of RDDs -- 5.5 DataFrames -- 5.6 Datasets -- 5.7 Introduction to Spark SQL -- 5.7.1 Spark SQL Architecture |
| Record Nr. | UNINA-9910676561303321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The smart cyber ecosystem for sustainable development / / edited by Pardeep Kumar, Vishal Jain, Vasaki Ponnusamy
| The smart cyber ecosystem for sustainable development / / edited by Pardeep Kumar, Vishal Jain, Vasaki Ponnusamy |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021] |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Internet of things Computer networks - Social aspects |
| ISBN |
1-119-76166-2
1-119-76165-4 1-119-76167-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1: INTERNET OF THINGS -- 1 Voyage of Internet of Things in the Ocean of Technology -- 1.1 Introduction -- 1.1.1 Characteristics of IoT -- 1.1.2 IoT Architecture -- 1.1.3 Merits and Demerits of IoT -- 1.2 Technological Evolution Toward IoT -- 1.3 IoT-Associated Technology -- 1.4 Interoperability in IoT -- 1.5 Programming Technologies in IoT -- 1.5.1 Arduino -- 1.5.2 Raspberry Pi -- 1.5.3 Python -- 1.6 IoT Applications -- Conclusion -- References
2 AI for Wireless Network Optimization: Challenges and Opportunities -- 2.1 Introduction to AI -- 2.2 Self-Organizing Networks -- 2.2.1 Operation Principle of Self-Organizing Networks -- 2.2.2 Self-Configuration -- 2.2.3 Self-Optimization -- 2.2.4 Self-Healing -- 2.2.5 Key Performance Indicators -- 2.2.6 SON Functions -- 2.3 Cognitive Networks -- 2.4 Introduction to Machine Learning -- 2.4.1 ML Types -- 2.4.2 Components of ML Algorithms -- 2.4.3 How do Machines Learn? -- 2.4.4 ML and Wireless Networks -- 2.5 Software-Defined Networks -- 2.5.1 SDN Architecture -- 2.5.2 The OpenFlow Protocol 2.5.3 SDN and ML -- 2.6 Cognitive Radio Networks -- 2.6.1 Sensing Methods -- 2.7 ML for Wireless Networks: Challenges and Solution Approaches -- 2.7.1 Cellular Networks -- 2.7.2 Wireless Local Area Networks -- 2.7.3 Cognitive Radio Networks -- References -- 3 An Overview on Internet of Things (IoT) Segments and Technologies -- 3.1 Introduction -- 3.2 Features of IoT -- 3.3 IoT Sensor Devices -- 3.4 IoT Architecture -- 3.5 Challenges and Issues in IoT -- 3.6 Future Opportunities in IoT -- 3.7 Discussion -- 3.8 Conclusion -- References -- 4 The Technological Shift: AI in Big Data and IoT 4.1 Introduction -- 4.2 Artificial Intelligence -- 4.2.1 Machine Learning -- 4.2.2 Further Development in the Domain of Artificial Intelligence -- 4.2.3 Programming Languages for Artificial Intelligence -- 4.2.4 Outcomes of Artificial Intelligence -- 4.3 Big Data -- 4.3.1 Artificial Intelligence Methods for Big Data -- 4.3.2 Industry Perspective of Big Data -- 4.4 Internet of Things -- 4.4.1 Interconnection of IoT With AoT -- 4.4.2 Difference Between IIoT and IoT -- 4.4.3 Industrial Approach for IoT -- 4.5 Technical Shift in AI, Big Data, and IoT 4.5.1 Industries Shifting to AI-Enabled Big Data Analytics -- 4.5.2 Industries Shifting to AI-Powered IoT Devices -- 4.5.3 Statistical Data of These Shifts -- 4.6 Conclusion -- References -- 5 IoT's Data Processing Using Spark -- 5.1 Introduction -- 5.2 Introduction to Apache Spark -- 5.2.1 Advantages of Apache Spark -- 5.2.2 Apache Spark's Components -- 5.3 Apache Hadoop MapReduce -- 5.3.1 Limitations of MapReduce -- 5.4 Resilient Distributed Dataset (RDD) -- 5.4.1 Features and Limitations of RDDs -- 5.5 DataFrames -- 5.6 Datasets -- 5.7 Introduction to Spark SQL -- 5.7.1 Spark SQL Architecture |
| Record Nr. | UNINA-9910824961003321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||