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Friday May 16, 2025 TBA
In today’s rapidly evolving technological landscape, R&D data analytics and AI/ML applications are pivotal in driving innovation and operational efficiency. However, the implementation of these technologies presents unique challenges, including data quality and availability, scalability, model interpretability, and alignment with organizational goals. This presentation highlights the distinct challenges of applying AI/ML in R&D, including managing incomplete and evolving datasets, balancing the need for precision with exploratory analysis, and aligning model outcomes with experimental objectives. This presentation will offer practical strategies to address them.
Speakers
avatar for Debin Wang, PhD

Debin Wang, PhD

Sr Engineering Manager, Seagate Technology
A Sr Engineering Manager specializing in R&D data analytics with a strong focus on leveraging AI and ML technologies, leading innovative projects that drive data-driven decision-making efficiency and operational excellence. 
Friday May 16, 2025 TBA

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