In this engaging discussion, Priya Joseph, Field CTO at DDN, dives into the intricacies of optimizing data for AI and machine learning. She emphasizes the importance of throughput and latency for achieving efficiency, particularly in breast cancer diagnostics. The conversation touches on data quality, the delicate balance between open and closed source models, and the evolving interplay between APIs and AI technology. Priya's insights reveal how effective data preparation can elevate AI outcomes, making this a must-listen for tech enthusiasts.
