On-Demand Webinar: AI x BIO Talks - The Infrastructure Behind AI-Native Labs
What does it actually take to build AI-native biology?
During Boston Tech Week, Automata brought together leaders from NVIDIA, Ginkgo Bioworks, E Tech Group, and the broader AI × Bio ecosystem for a series of discussions on one of the biggest challenges facing the industry today: building the infrastructure required to operationalize AI in the laboratory.
Across three sessions, speakers explored the realities of intelligent lab automation, the importance of orchestration and unified data, and the growing need to connect computational design with experimental execution. The conversations moved beyond AI hype and into the practical systems, workflows, and operating models required to support the next generation of scientific discovery.
What You'll Learn
Across three expert-led discussions, you'll hear firsthand perspectives on:
- Why AI-native labs require more than AI models alone
- The role of orchestration, interoperability, and unified data in modern laboratory environments
- How organizations are connecting in silico design with wet lab execution
- The challenges of scaling intelligent automation in real-world biotech settings
- What the next generation of laboratory infrastructure could look like
On-Demand Webinar: AI x BIO Talks - The Infrastructure Behind AI-Native Labs
What does it actually take to build AI-native biology?
During Boston Tech Week, Automata brought together leaders from NVIDIA, Ginkgo Bioworks, E Tech Group, and the broader AI × Bio ecosystem for a series of discussions on one of the biggest challenges facing the industry today: building the infrastructure required to operationalize AI in the laboratory.
Across three sessions, speakers explored the realities of intelligent lab automation, the importance of orchestration and unified data, and the growing need to connect computational design with experimental execution. The conversations moved beyond AI hype and into the practical systems, workflows, and operating models required to support the next generation of scientific discovery.
What You'll Learn
Across three expert-led discussions, you'll hear firsthand perspectives on:
- Why AI-native labs require more than AI models alone
- The role of orchestration, interoperability, and unified data in modern laboratory environments
- How organizations are connecting in silico design with wet lab execution
- The challenges of scaling intelligent automation in real-world biotech settings
- What the next generation of laboratory infrastructure could look like
