This book is a collection of chapters explaining specific important topic for data leaders across various industries. Written by data leaders for data leaders, each chapter explains a key issue of our time, its impact, its challenges and how it had/could be solved.
Together, the chapters address contemporary areas of interest and concern through the sharing of experiences, what-to-do, and what-to-watch-out-for.
Contents:
- Introduction
- Overview of the Chapters on Data Strategy and Governance (C H Neumann Chew)
- Data Strategy — Transforming into a Data-Driven Enterprise (Christine Legner and Tobias Pentek)
- Unlocking the Power of Data: Key Strategies for Success (Meri Rosich and Cat Rüst)
- Challenges and Best Practices Associated with Data Quality and Acceptable Use of Data (Ram Kumar)
- Personal Data Privacy, Industry Data Regulations, and Data Security — Three Sides of the Same Coin (Terry Ray)
- Privacy-First Design — The Significant Role of Privacy-Enhancing Technologies (Sowmya Ganapathi Krishnan)
- Data Strategy and AI Value Creation: Dataspaces — Opportunities with ESG (Marcus Hartmann, Felix Baumann and Elisa Lederer)
- Overview — AI Value Creation (Thara Ravindran)
- The Rise of Artificial Intelligence (C H Neumann Chew)
- Generative AI for Advanced Value Creation (Sachin Tonk)
- Tipping the Scales with AI: Harnessing Data and AI to Enhance Business Value (Michael Taylor)
- Using AI to Power a Digital Bank with a Human Touch (Chalee Asavathiratham)
- Generative AI Output for Business Organizations: Legal Perspectives from Copyright Law (Hannah Yee-Fen Lim)
- Concluding Thoughts
- About the Authors in Data Strategy and Governance
- About the Authors in AI Value Creation
- About the Editors
- Index
Readership: Professionals in the AI and data analytics industry; C-suite officers; AI Entrepreneurs; Academics in the field of data management and AI; Postgraduate students in Information Systems and Management.
Wai Fong Boh is President's Chair Professor of Information Systems at Nanyang Technological University (NTU), Nanyang Business School (NBS) in Singapore. She is currently Vice President for Lifelong Learning and Alumni Engagement for NTU. She is also Director of Information Management Research Centre at NBS, and she serves as co-Director for NTU Centre in Computational Technologies for Finance (CCTF).She received her PhD from the Tepper School of Business at Carnegie Mellon University. Her research interests are in the areas of innovation and technology management. She has published in leading journals, including Management Science, MIS Quarterly, Academy of Management Journal, etc.She is currently Senior Editor of MIS Quarterly, and has been previously AE for Management Science and ISR. Further, she is currently on or had been previously on the editorial board of multiple leading Information Systems journals.She was recently awarded Singapore's Public Administration Medal (Silver) and published a book on Identifying Business Opportunities through Innovation. In 2023, she received the AIS Fellow Award and the AIS Sandra Slaughter Service Award.Neumann Chee Hua Chee Hua is Senior Lecturer at Nanyang Business School, Nanyang Technological University Singapore. He was previously Principal and Head of Analytics at SAS Institute where he designed and lead advanced analytics solution for government agencies, banks, insurance companies, hospitals and large corporations. Prior to SAS Institute, he was Head of Research&Statistics at Ministry of Health, and Professor of Financial Mathematics in Dubai Academic City.He teaches Analytics and Machine Learning to Analytics specialization undergraduates, Masters in Business Analytics postgraduates and corporate executives. He wrote the textbook Artificial Intelligence, Analytics and Data Science used in universities globally, including a Chinese translation for the China market.Dr Thara Ravindran is a Research Fellow at the Information and Management Research Center (IMARC), Nanyang Business School, NTU. Dr Ravindran has a PhD in Information Systems from, NTU and a Masters in Knowledge Management (Lexis-Nexis Gold medal winner).Over the years, Dr Ravindran has worked on several projects in the areas of entrepreneurship, innovation, and strategy. This includes an NRF funded project that examined the effects of innovation practices of SMEs and start-ups on firm performance and the development of a global robotics strategy for a leading multinational.Dr Ravindran's most recent research examined the usability and adoption of delivery robots which unearthed key insights into adoption of such robots in the context of food delivery. Dr Ravindran has also co-authored a recent book titled Business Opportunity Identification Through Innovation, which serves as a handbook for entrepreneurs besides papers in the topics related to innovation in entrepreneurship and robotic usability.
This book is a collection of chapters explaining specific important topic for data leaders across various industries. Written by data leaders for data leaders, each chapter explains a key issue of our time, its impact, its challenges and how it had/could be solved.
Together, the chapters address contemporary areas of interest and concern through the sharing of experiences, what-to-do, and what-to-watch-out-for.
Contents:
- Introduction
- Overview of the Chapters on Data Strategy and Governance (C H Neumann Chew)
- Data Strategy — Transforming into a Data-Driven Enterprise (Christine Legner and Tobias Pentek)
- Unlocking the Power of Data: Key Strategies for Success (Meri Rosich and Cat Rüst)
- Challenges and Best Practices Associated with Data Quality and Acceptable Use of Data (Ram Kumar)
- Personal Data Privacy, Industry Data Regulations, and Data Security — Three Sides of the Same Coin (Terry Ray)
- Privacy-First Design — The Significant Role of Privacy-Enhancing Technologies (Sowmya Ganapathi Krishnan)
- Data Strategy and AI Value Creation: Dataspaces — Opportunities with ESG (Marcus Hartmann, Felix Baumann and Elisa Lederer)
- Overview — AI Value Creation (Thara Ravindran)
- The Rise of Artificial Intelligence (C H Neumann Chew)
- Generative AI for Advanced Value Creation (Sachin Tonk)
- Tipping the Scales with AI: Harnessing Data and AI to Enhance Business Value (Michael Taylor)
- Using AI to Power a Digital Bank with a Human Touch (Chalee Asavathiratham)
- Generative AI Output for Business Organizations: Legal Perspectives from Copyright Law (Hannah Yee-Fen Lim)
- Concluding Thoughts
- About the Authors in Data Strategy and Governance
- About the Authors in AI Value Creation
- About the Editors
- Index
Readership: Professionals in the AI and data analytics industry; C-suite officers; AI Entrepreneurs; Academics in the field of data management and AI; Postgraduate students in Information Systems and Management.
Wai Fong Boh is President's Chair Professor of Information Systems at Nanyang Technological University (NTU), Nanyang Business School (NBS) in Singapore. She is currently Vice President for Lifelong Learning and Alumni Engagement for NTU. She is also Director of Information Management Research Centre at NBS, and she serves as co-Director for NTU Centre in Computational Technologies for Finance (CCTF).She received her PhD from the Tepper School of Business at Carnegie Mellon University. Her research interests are in the areas of innovation and technology management. She has published in leading journals, including Management Science, MIS Quarterly, Academy of Management Journal, etc.She is currently Senior Editor of MIS Quarterly, and has been previously AE for Management Science and ISR. Further, she is currently on or had been previously on the editorial board of multiple leading Information Systems journals.She was recently awarded Singapore's Public Administration Medal (Silver) and published a book on Identifying Business Opportunities through Innovation. In 2023, she received the AIS Fellow Award and the AIS Sandra Slaughter Service Award.Neumann Chee Hua Chee Hua is Senior Lecturer at Nanyang Business School, Nanyang Technological University Singapore. He was previously Principal and Head of Analytics at SAS Institute where he designed and lead advanced analytics solution for government agencies, banks, insurance companies, hospitals and large corporations. Prior to SAS Institute, he was Head of Research&Statistics at Ministry of Health, and Professor of Financial Mathematics in Dubai Academic City.He teaches Analytics and Machine Learning to Analytics specialization undergraduates, Masters in Business Analytics postgraduates and corporate executives. He wrote the textbook Artificial Intelligence, Analytics and Data Science used in universities globally, including a Chinese translation for the China market.Dr Thara Ravindran is a Research Fellow at the Information and Management Research Center (IMARC), Nanyang Business School, NTU. Dr Ravindran has a PhD in Information Systems from, NTU and a Masters in Knowledge Management (Lexis-Nexis Gold medal winner).Over the years, Dr Ravindran has worked on several projects in the areas of entrepreneurship, innovation, and strategy. This includes an NRF funded project that examined the effects of innovation practices of SMEs and start-ups on firm performance and the development of a global robotics strategy for a leading multinational.Dr Ravindran's most recent research examined the usability and adoption of delivery robots which unearthed key insights into adoption of such robots in the context of food delivery. Dr Ravindran has also co-authored a recent book titled Business Opportunity Identification Through Innovation, which serves as a handbook for entrepreneurs besides papers in the topics related to innovation in entrepreneurship and robotic usability.
DATA STRATEGY AND AI VALUE CREATION: For Data Leaders by Data Leaders
252
DATA STRATEGY AND AI VALUE CREATION: For Data Leaders by Data Leaders
252Related collections and offers
Product Details
| ISBN-13: | 9789819800865 |
|---|---|
| Publisher: | WSPC |
| Publication date: | 04/02/2025 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 252 |
| File size: | 4 MB |