High Signal: Data Science | Career | AI Episode 18: High-Stakes AI Systems and the Cost of Getting It Wrong
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Jun 19, 2025 Sudarshan Seshadri, VP of AI, Data Science, and Foundations Engineering at Alto Pharmacy, dives into the complexities of high-stakes AI in healthcare. He discusses the balance of speed, safety, and uncertainty that influences AI design and its support for pharmacists. The conversation highlights the evolution of data in decision-making, the rise of full-stack pharmacy practitioners using AI, and the essential role of data leaders as architects of irreversible decisions in ensuring patient care and operational efficiency.
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Create Shared, Causal Metrics
- Define metrics that are precise, unambiguous, reproducible, and explain causal effects clearly.
- Create shared metrics that bridge product, operations, and engineering for aligned decision making.
Retaining Talent Through Mission and Team
- Sudarshan retains talent by aligning company mission, fostering caring teams with collective intelligence, and supporting individual growth.
- These three dimensions together create thriving teams with low churn and high loyalty.
Favor Full-Stack Practitioners
- Prefer full-stack practitioners who can take problems from concept to execution.
- Grow individuals' T-shaped skills and create networks for coaching and expanding capabilities.