Dr. Ashley Beecy is the Medical Director of Artificial Intelligence Operations at NewYork-Presbyterian where she partners with clinical, administrative and research leaders across the enterprise to drive digital transformation and deliver on NewYork-Presbyterian’s clinical AI strategy. Dr. Beecy provides leadership in key areas including the governance, processes, and infrastructure to ensure the responsible and effective deployment of AI.
Dr. Beecy is also an Assistant Professor of Medicine in the Division of Cardiology at Weill Cornell Medicine, where she serves as an attending physician on the consultative cardiology service, inpatient telemetry unit, and cardiac intensive care unit. She leads the informatics work within the Division of Cardiology and has a passion for improving healthcare delivery through the use of technology.
Upcoming Talks
13 May 2025
In this talk, Dr. Ashley Beecy, Medical Director of AI Operations at NewYork-Presbyterian, will explore the transformative potential of AI in healthcare, focusing on practical strategies for safe and efficient implementation. Ashley will share insights from her leadership in AI governance and deployment across NewYork-Presbyterian and her experience integrating AI into clinical workflows to improve patient care and provider well-being.
Key Learnings you'll get from this talk:
- Deploying AI models in clinical workflows, involving data and MLOps teams, clinical users, informaticians, and researchers.
- Understanding how to balance centralized and decentralized approaches to AI deployment based on specific use cases.
- Practical insights into setting up MLOps and data pipelines to support AI model development and deployment in cloud environments.
- Challenges and strategies for creating effective visualization tools that cater to various healthcare stakeholders, ensuring meaningful data presentation and actionability.
13 May 2025
AI-native products require a new kind of collaboration, one that bridges the gap
between traditional machine learning (bottom-up, data-driven) and the way UX and
product teams typically operate (top-down, user-driven). Too often, these disciplines
speak different languages, leading to misalignment, slow iteration cycles, and missed
opportunities.
This panel will explore how product managers, UX designers, and developers can break
down silos to create AI products that are both technologically feasible and deeply user
centered. We’ll discuss how to integrate AI capabilities into the product development
process, establish shared frameworks for decision-making, and foster a culture of
experimentation.
Key Takeaway:
Whether you're building your first AI-native product or refining your approach, this
session will provide practical strategies to align teams and build better AI
experiences faster, together.
