Episode 18: High-Stakes AI Systems and the Cost of Getting It Wrong episode artwork

EPISODE · Jun 19, 2025 · 58 MIN

Episode 18: High-Stakes AI Systems and the Cost of Getting It Wrong

from High Signal: Data Science | Career | AI · host Delphina

Sudarshan Seshadri—VP of AI, Data Science, and Foundations Engineering at Alto Pharmacy—joins us to explore what it takes to build high-stakes AI systems that people can actually trust. He shares lessons from deploying machine learning and LLMs in healthcare, where speed, safety, and uncertainty must be carefully balanced. We talk about designing AI to support pharmacist judgment, the shift from bottlenecks to decision backbones, and why great data leaders are really architects of how irreversible decisions get made. LINKS Suddu on LinkedIn Careers at Alto Pharmacy High Signal podcast Delphina's Newsletter

Episode metadata supplied by the publisher feed · Published Jun 19, 2025

Embed this episode

NOW PLAYING

Episode 18: High-Stakes AI Systems and the Cost of Getting It Wrong

0:00 58:45

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of High Signal: Data Science | Career | AI?

This episode is 58 minutes long.

When was this High Signal: Data Science | Career | AI episode published?

This episode was published on June 19, 2025.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this High Signal: Data Science | Career | AI episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!