Building Business Models with Machine Learning

N., Ambika · Jain, Vishal · García, Cristian González · Le, Dac-Nhuong

nov. del 2024 · IGI Global

Llibre electrònic

308

Pàgines

Apte

No es verifiquen les puntuacions ni les ressenyes Més informació

Sobre aquest llibre

Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models.

The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models.

Sobre l'autor

Ambika N. is an MCA, MPhil, and Ph.D. in computer science. She completed her Ph.D. from Bharathiar university in the year 2015. She has 18 years of teaching experience and works for St.Francis College, Bangalore. She has guided BCA, MCA, and M.Tech students in their projects. Her expertise includes wireless sensor networks, the Internet of things, and cybersecurity. She gives guest lectures on her expertise. She reviews books, conferences (national/international), encyclopedias, and journals. She is advisory committee member of some conferences. She has many publications in National & international conferences, international books, national and international journals, and encyclopedias. She has some patent publications (National) and has received 5 copyrights in the computer science division.

Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has authored more than 90 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 30 books with various reputed publishers, including Elsevier, Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Dac-Nhuong Le (Lê Đắc Nhường) has an MSc and PhD in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is an Associate Professor of Computer Science and Dean of the Faculty of Information Technology at Haiphong University, Vietnam. He has 20+ years of academic teaching experience in computer science. He has many publications in reputed international conferences, journals, and book chapters (Indexed by SCIE, SSCI, ESCI, Scopus). His research areas include intelligence computing, multi-objective optimization, network security, cloud computing, virtual reality/augmented reality, and IoT. Recently, he has served on the technical program committee, conducted technical reviews, and acted as a track chair for international conferences under the Springer-ASIC/LNAI/CISC Series. He also serves on the editorial board of international journals and has edited/authored 30+ computer science books published by Springer, Wiley, CRC Press, IET, IGI Global, and Bentham Publishers. [Editor]

Puntua aquest llibre electrònic

Dona'ns la teva opinió.

Informació de lectura

Telèfons intel·ligents i tauletes

Instal·la l'aplicació Google Play Llibres per a Android i per a iPad i iPhone. Aquesta aplicació se sincronitza automàticament amb el compte i et permet llegir llibres en línia o sense connexió a qualsevol lloc.

Ordinadors portàtils i ordinadors de taula

Pots escoltar els audiollibres que has comprat a Google Play amb el navegador web de l'ordinador.

Lectors de llibres electrònics i altres dispositius

Per llegir en dispositius de tinta electrònica, com ara lectors de llibres electrònics Kobo, hauràs de baixar un fitxer i transferir-lo al dispositiu. Segueix les instruccions detallades del Centre d'ajuda per transferir els fitxers a lectors de llibres electrònics compatibles.

Informa de contingut il·legal