Speaker
James KIM
- Affliation
- Data Design Engineering
- Title
- CEO
Biography
Jae Bok KIM , also known as James KIM, is a visionary leader and an accomplished professional born in January 1965 in South Korea. With a background as a strategy analyst in top-tier global firms, James has consistently pushed the boundaries of innovation and excellence throughout his career.
An esteemed author, James penned the influential book "Big Data Architecting: From Data Mining to Data Pricing," offering invaluable insights into the complexities of data management and analysis. His expertise has garnered recognition on a global scale, earning him prestigious accolades including the US Presidential Award, US Congressional Award, and others.
Currently serving as the CEO of Data Design Engineering, a multinational company with bases in South Korea, Singapore, and Luxembourg, James continues to drive forward groundbreaking advancements in artificial intelligence technology. Under his leadership, Data Design Engineering has spearheaded pioneering projects, including SAR Raw Data Processing complex matrix-based object detection, Domain GPT development, Book Spine detection, Deep Fake Voice and Image Detection, Development of localized NLP engines, and AI-driven operational optimization and simulation for various applications.
James’ relentless pursuit of innovation and his commitment to excellence make him a driving force in the ever-evolving landscape of technology and data science.
An esteemed author, James penned the influential book "Big Data Architecting: From Data Mining to Data Pricing," offering invaluable insights into the complexities of data management and analysis. His expertise has garnered recognition on a global scale, earning him prestigious accolades including the US Presidential Award, US Congressional Award, and others.
Currently serving as the CEO of Data Design Engineering, a multinational company with bases in South Korea, Singapore, and Luxembourg, James continues to drive forward groundbreaking advancements in artificial intelligence technology. Under his leadership, Data Design Engineering has spearheaded pioneering projects, including SAR Raw Data Processing complex matrix-based object detection, Domain GPT development, Book Spine detection, Deep Fake Voice and Image Detection, Development of localized NLP engines, and AI-driven operational optimization and simulation for various applications.
James’ relentless pursuit of innovation and his commitment to excellence make him a driving force in the ever-evolving landscape of technology and data science.