AWS in Orbit: Leveraging generative AI to do more at the rugged space edge with AWS. [T-Minus]
CyberWire Daily
N2K Networks, Inc.
4.8 • 1.1K Ratings
🗓️ 19 February 2024
⏱️ 41 minutes
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| 0:00.0 | And the So, Welcome to AWS in orbit. We've collaborated with AWS on a fantastic project at the intersection of space technology, cloud computing, and artificial |
| 0:46.8 | intelligence. I'm Maria Varmazis. We'll explore not just what's possible, but what's meaningful in the realm of space and cloud innovation. |
| 0:58.0 | On AWS in orbit, we grapple with the complex challenges and unparalleled opportunities that arise |
| 1:06.2 | when we use space to address pressing issues right here on Earth. From enhancing |
| 1:12.2 | global security to monitoring climate change to democratizing education, |
| 1:17.8 | the implications are as limitless as space itself. Episode 1, Kathy O'Donnell, AWS and Generative AI. |
| 1:37.0 | My name is Kathy O'Donnell. |
| 1:39.6 | Kathy O'Donnell is the leader of Space Solutions Architecture for AWS. |
| 1:44.0 | We're a part of aerospace and satellite at AWS, so we focus specifically on aerospace and satellite |
| 1:51.0 | customers. |
| 1:52.0 | In this extended conversation, space and satellite customers. |
| 2:00.0 | In this extended conversation, we dive into how AWS is supporting generative AI in the space domain. |
| 2:05.9 | She walks us through some incredible case studies with AWS customers like deorbit and latitude 40 who are using generative AI and space technologies to |
| 2:12.1 | improve life here on Earth. |
| 2:15.0 | Can you tell me a little bit about how you got into the role that you're in now at AWS? |
| 2:22.0 | I started off as an applied research |
| 2:25.4 | mathematician with the Department of Defense so I started back in 2000 and |
| 2:30.0 | got to be involved in the transition from like landlines and telephones to the internet and cellular networks and the use of satellite communications. |
| 2:41.0 | And at the same time, because I was a mathematician, I did a lot of modeling and |
| 2:46.1 | analytics. And it was great because I had access to like supercomputers and all sorts of data. |
| 2:55.0 | After it was about 14 years, I had just worked with the government |
| 2:57.0 | and I was certainly like, |
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