AI and Big Data's Potential for Disruptive Innovation. Este artículo no está disponible.
Idioma: inglés
Editorial: IGI Global, 2019
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N° de ref. del artículo C9781522596882
- Título
- AI and Big Data's Potential for Disruptive Innovation
- Autor
- Moses Strydom
- Editorial
- IGI Global
- Año de publicación
- 2019
- Estado
- New
- Encuadernación
- Paperback / softback
- Idioma
- inglés
- ISBN 10
- 1522596887
- ISBN 13
- 9781522596882
- Peso del artículo
- 526 gramos
AI and Big Data’s Potential for Disruptive Innovation
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Moses Strydom is a retired professor and recent Chair of the Department of Mechanical and Industrial Engineering at the University of South Africa. An alumni of the University of Perpignan, France (PhD) and New Mexico State University (MSc), Moses is bilingual, French-English, and for the past 30 years, as an academic, has worked in several universities in Africa, France, and the USA. His research interests include computational/experimental fluid dynamics, hydrogen fuel cells; big data and robotics, and holographic technology in m-learning. He has published in several research journals and books, and presented conference papers, both nationally and internationally.
Sheryl Buckley is an Associate Professor in the School of Computing at the University of South Africa (UNISA). She holds a Primary Teacher’s Diploma, Further Diploma in Education, National Diploma in Computer Practice, BEd in Computer based Education, Med in Computer based Education, Postgraduate diploma in Information Management and DLitt et Phil in Information Science. Sheryl previously taught at a High School and at a Technical College for 10 years respectively. Sheryl has been for more than 25 years teaching, researching, practicing and supervising students engaged in research at both doctoral and masters level. Sheryl is a member of the Computer Society of South Africa and an Examiner for the Gauteng Department of Education. In addition, she is a peer reviewer for local, national and international conferences and journals.
Sheryl Buckley is an Associate Professor in the School of Computing at the University of South Africa (UNISA). She holds a Primary Teacher’s Diploma, Further Diploma in Education, National Diploma in Computer Practice, BEd in Computer based Education, Med in Computer based Education, Postgraduate diploma in Information Management and DLitt et Phil in Information Science. Sheryl previously taught at a High School and at a Technical College for 10 years respectively. Sheryl has been for more than 25 years teaching, researching, practicing and supervising students engaged in research at both doctoral and masters level. Sheryl is a member of the Computer Society of South Africa and an Examiner for the Gauteng Department of Education. In addition, she is a peer reviewer for local, national and international conferences and journals.
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