Ken Saunders
About Ken Saunders
Ken Saunders serves as the COO and CFO of DeepSee.ai, where he has worked since 2019, contributing to advancements in AI and data management. He has held various CFO roles at multiple companies and has an MBA from Columbia Business School and a BS in Economics from The Wharton School.
Work at DeepSee.ai
Ken Saunders has served as the Chief Operating Officer and Chief Financial Officer at DeepSee.ai since 2019. His role involves overseeing the company's operations and financial strategies in Salt Lake City, Utah. He has contributed to the development of a general-purpose AI rig, which allows enterprises to implement theoretical data science in real-time operations. Additionally, he has played a significant role in positioning DeepSee as a solution for businesses facing challenges related to data and data science.
Education and Expertise
Ken Saunders holds an MBA from Columbia Business School, where he studied from 1994 to 1996. He also earned a Bachelor of Science degree in Economics from The Wharton School, attending from 1983 to 1987. His educational background provides a strong foundation for his roles in finance and operations across various technology companies.
Background in Finance
Ken Saunders has extensive experience in financial leadership roles across multiple organizations. He served as Chief Financial Officer at Blue Coat Systems for a brief period in 2013 and held similar positions at Blue Raven Solar, Solera Networks, Anonyome Labs, and Bask Technology. His tenure at TNS included roles as Chief Financial Officer and Senior Vice President of Strategy and Corporate Development, contributing to his comprehensive understanding of corporate finance and strategy.
Achievements in Technology Development
During his career, Ken Saunders has been instrumental in developing platforms that enhance data processing capabilities. At DeepSee.ai, he played a key role in creating a platform that automates data digitization and extraction, which supports both proprietary and open-source learning models. His contributions have helped organizations better manage and utilize their data resources.