Ali Glaser is a Senior Product Marketing Manager at Automata, focused on advancing intelligent, scalable lab automation solutions. A scientist by training, she began her career as a molecular biologist at the bench and brings over 20 years of experience across antibody discovery, cell therapy, and automated workflows. She offers a unique blend of deep scientific expertise and commercial insight, shaped through technical, commercial, and strategic roles at organizations including Lightcast, Berkeley Lights (now Bruker Cellular Analysis), and Molecular Devices. Ali is passionate about helping life science organizations adopt connected technologies that accelerate discovery and unlock new possibilities in science.
This talk explores why legacy, fixed lab systems struggle to keep pace with modern science and what must change to enable AI-driven, agentic models. It examines how leading labs are shifting toward software-defined, data-centric automation built on open architectures. We’ll outline what’s required to support autonomy, orchestration, and continuous learning without compromising reliability, interoperability, or compliance, and share practical frameworks to assess whether current automation infrastructure is ready for what comes next.
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