As the satellite industry shifts towards a new paradigm of smart, autonomous multi-service satellites that revolutionize and optimize business models, a pressing need for powerful and efficient Earth-like computing emerges. In this not-to-be-missed webinar, we will delve into the rapidly evolving end-user demands, and explore the crucial role that software-based onboard computing plays in enabling these multi-service satellites.

Key Takeaways:

By attending this webinar, participants will:

1. Understand the need for multi-service satellites to support rapidly evolving end-user demands
2. Discover how multi-service satellites ensure profitability through multiple revenue streams
3. Learn about the challenges of implementing advanced onboard computing for space
4. Gain insights into the essential elements of a computing infrastructure required to enable fully flexible SW-based satellite operation
5. Recognize how advanced onboard computing optimizes system performance, maximizes mission efficiency, and saves operating costs

30-minute webinar
Rachel Jewett
Senior Managing Editor, Via Satellite
Steve Good
Chief Commercial Officer, Ramon.Space
Steve Good serves as Chief Commercial Officer at Ramon.Space, a leader in Space-resilient computing infrastructure. Steve holds over two decades of expertise in business management, marketing, sales engineering and sales management in the aerospace industry. Previously, he has held several executive level roles with top satellite communications companies, including Thales Alenia Space, Intelsat, Comtech EF Data and Hughes Network Systems. He most recently led strategic business development efforts for Thales Alenia Space's line of space-based telecom, observation, exploration and navigation products throughout North America. Prior, he served as Senior Vice President, Market and Business Development at Comtech EF Data and was Vice President of Network Services at Intelsat. He holds BSEE, MSEE, MBA and MSCpE degrees from Penn State, Johns Hopkins, Maryland and Virginia Tech, respectively.
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