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Description

Deploying AI in regulated industries requires disciplined engineering and creativity in work flows, data ingestion, and user experience. This session explores how to combine large language models and computer vision systems into enterprise workflows that are reliable, compliant, and fast enough to stick.
Drawing on deployments across aerospace, energy, and manufacturing, I’ll cover:
• How to maintain the creativity of LLMs while abiding strict regulatory and safety frameworks.
• Techniques to manage latency through precomputation, caching, and UX design that maintains user flow.
• Where lasting value still exists when AI tools are widely available, like data pipelines and architecture.
• How to keep OCR garbage from degrading your RAG pipeline.

Instructor's Bio

Natalya Bailey, PhD

Co-Founder at Squawk AI

Natalya Bailey is the co-founder and CEO of Squawk AI, which uses generative AI and multimodal reasoning to accelerate aircraft maintenance and improve safety outcomes. She previously founded and led Accion Systems, a spacecraft ion-engine company spun out of MIT, where she served as CEO for nearly a decade until its acquisition.

An experienced leader and technologist, Natalya has led strategy at Bloom Energy, held COO/CFO roles in clean-energy and semiconductor companies, and advises and invests in technical founders as a partner at XFactor Ventures. She also mentors AI and hardware startups through Ubiquity Ventures, Creative Destruction Lab, and Silicon Catalyst, and serves on the MIT Corporation’s Visiting Committee for Aeronautics and Astronautics. She earned her PhD from the Massachusetts Institute of Technology, MS from Duke University, and BS from San Diego State University.

Webinar

  • 1

    Workshop "Engineering the Last Mile of AI: Integrating LLMs and CV into the enterprise"

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