Examining AI Innovations in Gaming and Entertainment - Couverture souple

Couverture souple

ISBN 13 : 9798337336916

Editeur : Information Science Reference, 2026

A propos du livre

À propos des auteurs

Prof. Jeffrey Saltz research focuses on the socio-technical issues relating to AI and Data science, such as how to effectively leverage AI and Data Science within an organizational context and how teams should work together to “do” data science and AI projects. HIs 20+ years of industry information systems experience has often focused on building new teams that leverage emerging technologies to deliver innovative business solutions. In his last corporate role, he worked at JPMorgan Chase. At JPMC, he reported to the firm’s Chief Information officer while helping to drive innovation throughout the firm. He also held several other key technology management positions at the company, including CTO (Consumer and Community Banking Risk Management), Chief Information Architect (Chase Financial Services), global head of eBusiness technology and vice president of computational technology. He previously served as chief technology officer and principal investor at Goldman Sachs/Goldman Sachs Ventures, where he invested and helped incubate technology start-ups. He started his career as a programmer, project leader and consulting engineer with Digital Equipment Corp (now part of HP).

Dr. Jasmina Tacheva is an Assistant Professor in the School of Information Studies. She studied Philosophy, Economics and German at Canisius College and earned her Ph.D. from the University at Buffalo’s (UB) School of Management, where she was part of the NAVIGATE Project, an NSF-sponsored initiative for supporting women in STEM.

Dr. Shamik Tiwari , Dean and Professor at the School of Computer Science & Engineering, IILM University, Gurugram, brings over two decades of comprehensive expertise encompassing research, teaching, and administration. His leading-edge research has earned him recognition as one of the world’s top 2% of research scientists, acknowledged by Stanford University in 2023 & 2024. Dr. Tiwari’s proficiency extends across diverse domains, including Data Analytics, Statistical Modeling, Predictive Modeling, Machine Learning, Deep Learning, NLP, Image Processing, Computer Vision, and Data Visualization.

Dr. Anurag Jain , is a Professor of Computer Science and Engineering with over 22 years of teaching and research experience. He holds a Ph.D. in Computer Science and Engineering and specializes in machine learning, deep learning, natural language processing, and algorithm design. He has published extensively in indexed journals and conferences, completed government-funded research projects, and served in key academic leadership roles. His research interests include intelligent systems, explainable AI, and applied data-driven solutions.

Détails de l'édition

• Éditeur: Information Science Reference
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798337336916
• Reliure: Broché
• Nombre de pages: 362
• Éditeur: Saltz Jeff, Tacheva Jasmina, Tiwari Shamik, Jain Anurag
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne