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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Mastering Decision Accuracy Over Time
- Data leaders must build muscle around making big, reversible decisions and improving their decision accuracy over time.
- Success depends on tracking the aging of decision accuracy, not just immediate accuracy of predictions.
Career Journey From Groupon to Healthcare
- Sudarshan's career evolved from e-commerce at Groupon to healthcare at Alto Pharmacy.
- This shift deepened his focus on solving messy, impactful problems that improve patient outcomes.
Build Trust Through Deep Metrics Understanding
- Build trust by deeply understanding the customer journey, unit economics, and metrics quality.
- Progress quickly through descriptive, diagnostic, predictive, and prescriptive analytics phases together, not in isolation.