Artificial Intelligence in Decision Sciences by Jeff Saltz
Artificial Intelligence in Decision Science investigates the impact of artificial intelligence (AI) on decision-making. The book is a well-balanced mix of theory, practice and examples from the field to show how AI-based techniques can help in making data-driven decisions across a range of sectors, including business, healthcare, finance, manufacturing, education and public administration. This book explores the fundamental concepts of AI, such as machine learning, deep learning, natural language processing, generative AI and multi-agent systems, and their role in addressing modern decision-making problems. Practical insights are given on the adoption of AI, on how to implement AI and the impact of AI in case-study organization, which makes concepts accessible for researchers and practitioners alike.This book is an excellent reference guide for academics, students, industry and decision makers interested in effective application of AI techniques in the current context of decision sciences to facilitate smart, effective and informative decision making.
- Modeling of Human Mobility
- Immigration Policies Against Human Rights 3
- Jean-Baptiste Lamarck in the Whirlwind of History
- Securing Uncontrolled Gen-AI Upload-Induced Data Leakage
- Immigration Policies Against Human Rights 2
- Socio-Economic Theory of Innovation
- Future of Urban Intelligence
- The Effect of the Environment on the Fatigue Behavior of Textile Organic Matrix Composite Materials for Aircraft Applications
- Aerospace Actuators 1
- Immigration Policies Against Human Rights 1
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Human-Centered Artificial Intelligence in Education 1
- Human-Centered Artificial Intelligence in Education 2
- The World and Its Possibilities
- The Dynamical Sun
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Blockchain for Sustainability 1
- AI-driven Healthcare Innovations 2
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Social Innovation Through Design in Healthcare 2
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AI-driven Innovations in Physiotherapy and Oncology 5
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AI-driven Innovations in Physiotherapy and Oncology 4
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AI in Orthopedic Trauma Care 1
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Optimizing Predictive Maintenance of Biomedical Equipment
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AI and Wind Power 1
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The Use of Algae in Human Health
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Macroeconomics 1
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Practical Graph Intelligence 1
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Social R&D or How to Innovate for Society
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AI Innovations in Human Emotion Detection and Sentiment Analysis
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Data Analysis in the AI Era
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Optimizing NextGen Communication Networks with Decision Analytics 1
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Worldviews, Critical Thinking and Science Education
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Practical Graph Intelligence 2
- AI and Digital Twins Under Siege
- Digital Transformation of Industrial Processes
- Computer Memories 3
- The Patient Pathway
- Zones Ateliers (French LTSER Platforms)
- Intelligent Embedded Systems 2
- High-Resolution Molecular Spectroscopy 1B
- Intelligent Embedded Systems 1
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Generalized Fractional Brownian Motion
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History of Life Sciences and Medicine, Volume 1
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Connected Digital Devices in Health
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Next-Gen Supply Chains
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Computer Memories 1
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Rethinking Networks in Times of Transition
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A Comprehensive Guide to HSMM
Jeff Saltz is an Associate Professor and Program Director for Applied Data Science, Information Systems, and Artificial Intelligence at Syracuse University, USA. His research focuses on data science, AI, collaborative analytics and experiential learning.
Shamik Tiwari is a Professor and Dean at IILM University, Gurugram, India. His research focuses on AI, machine learning, the Internet of Things and data analytics.
Anurag Jain is a Professor at IILM University, Gurugram, India. His research focuses on AI, machine learning, deep learning and explainable AI.
Prasenjit Chatterjee is a Professor of Mechanical Engineering and Dean (Research & Consultancy) at MCKV Institute of Engineering, West Bengal, India. His research focuses on multi-criteria decision-making, supply chain analytics, circular economy, and production and operations management.
Tanupriya Choudhury is a Professor at the University of Petroleum and Energy Studies (UPES), Dehradun, India. His research interests include AI, machine learning, the Internet of Things, healthcare informatics and smart computing.
Jasmina Tacheva is an Assistant Professor at Syracuse University, USA. Her research focuses on human-centered AI, computational social science, natural language processing and responsible AI, emphasizing trustworthy and socially informed intelligent systems.
Shamik Tiwari is a Professor and Dean at IILM University, Gurugram, India. His research focuses on AI, machine learning, the Internet of Things and data analytics.
Anurag Jain is a Professor at IILM University, Gurugram, India. His research focuses on AI, machine learning, deep learning and explainable AI.
Prasenjit Chatterjee is a Professor of Mechanical Engineering and Dean (Research & Consultancy) at MCKV Institute of Engineering, West Bengal, India. His research focuses on multi-criteria decision-making, supply chain analytics, circular economy, and production and operations management.
Tanupriya Choudhury is a Professor at the University of Petroleum and Energy Studies (UPES), Dehradun, India. His research interests include AI, machine learning, the Internet of Things, healthcare informatics and smart computing.
Jasmina Tacheva is an Assistant Professor at Syracuse University, USA. Her research focuses on human-centered AI, computational social science, natural language processing and responsible AI, emphasizing trustworthy and socially informed intelligent systems.
| SKU | Unavailable |
| ISBN 13 | 9781836690719 |
| ISBN 10 | 1836690711 |
| Title | Artificial Intelligence in Decision Sciences |
| Author | Jeff Saltz |
| Series | Iste Invoiced |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | ISTE Ltd |
| Year published | 2026-12-30 |
| Number of pages | 364 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |