Couldn't load pickup availability
Free standard shipping on orders over $99
Estimated to be delivered on 6-12 Days.
At Lumaryon Universal, customer satisfaction is our priority. If you are not completely satisfied with your purchase, you may request a return within the eligible return period as outlined on our website. Items must be returned in their original condition, unused, and in original packaging to qualify for a refund.
Once your return is received and inspected, we will notify you of the approval or rejection of your refund. Approved refunds will be processed to the original method of payment within a reasonable timeframe. Shipping fees are non-refundable unless the return is due to a defective product or an error on our part.
Customers are responsible for return shipping costs unless otherwise stated. Please note that certain items may be non-returnable due to hygiene, safety, or clearance reasons, which will be clearly communicated at the time of purchase. We recommend contacting our support team before returning any item to ensure a smooth and efficient return process.
by Ranjan Sinha (Author), Cheranellore Vasudevan (Author)
This book on digital marketplaces primarily focuses on Knowledge Intensive Assets (KIAs) such as data, insights, models, digital twins, APIs, software applications, courseware, advertisements, games, and entertainment. KIAs are becoming significant in the world of trading and monetization. Marketplaces dealing with KIAs are just evolving, but they show the promise of notable growth rate. The steps to manage the trade of the KIAs--product validation, acquisition, pricing, and delivery--present challenges that are different than those of traditional commodities. The contents of this book present unique value in today's data- and AI-driven economy as all industry sectors are having to handle KIAs. This book provides a detailed look at the challenges and opportunities of marketplaces, especially those dealing with KIAs. As a compendium of marketplace functions, including monetization models and analysis of specific marketplace players, the contents of this book will be beneficial for industry practitioners, researchers, and business executives.
The topics discussed include:
RANJAN SINHA is an IBM Fellow, Vice President, and Chief Technology Officer for the IBM Global Chief Data Office. He leads the data and platform strategy, engineering, and is on the front lines of transforming IBM into an AI enterprise. He guides IBM's clients to navigate and accelerate their data and AI transformation journeys. He is a seasoned technical leader, building and operating data and AI platforms and solutions from inception to production. Prior to IBM, he was at eBay Marketplaces, where he contributed to several business-impacting innovations. He is involved with several Technology Councils, including Marketplace@IBM, and led several Academy of Technology studies on data, AI, and marketplaces. He has published several peer-reviewed papers and patents with nearly 1,000 citations, earned a Ph.D. in computer science, and been an invited speaker at events worldwide. He is passionate about promoting wellness, safety, and empowerment of vulnerable groups; preparing the workforce for a data-driven economy; and advocating for social and global issues.
CHERANELLORE VASUDEVAN is currently working as a Senior Technical Staff Member (STSM) at the IBM Global Chief Data Office (GCDO) with a focus on technical vitality and marketplace strategy. He has over 35 years of industry experience covering stints in research, development, technology strategy, and professional services. Vasudevan is a Member of the IBM Academy of Technology and is an IBM Master Inventor with over 60 U.S. patents to his credit. He also serves on the Data and AI Core Team of the IBM Academy of Technology. He has a Ph.D. in Artificial Intelligence (AI) and has authored several journals and conference publications. Vasudevan has taught graduate and undergraduate courses in Computer Science and Information Systems as Adjunct Professor at South University and Texas State University. His current interests include data science, data monetization, data policies, ethics, and AI applications.At Lumaryon Universal, we are committed to providing a smooth and reliable shipping experience for every customer. All orders are carefully processed within 1–3 business days, excluding weekends and and public holidays.
Once dispatched, orders are shipped using trusted carriers, with an estimated delivery timeframe of 6–12 business days, depending on your location and carrier conditions. Customers will receive a shipping confirmation email with tracking information as soon as their order is shipped, allowing them to monitor delivery progress.
While we strive to meet estimated delivery times, occasional delays may occur due to factors beyond our control, such as weather conditions or carrier disruptions. Our team remains available to assist with any shipping or delivery inquiries to ensure a secure and hassle-free shopping experience.
Free Shipping On All Orders Over $99
Our support team always ready for you to 7 days a week
100% Secure Transactions
30 Day Return Policy
Thanks for subscribing!
This email has been registered!