USING GENERATIVE AI & MACHINE LEARNING IN THE ENTERPRISE + STARTUP SHOWCASE
AUSTIN + ON-DEMAND | February 19-20, 2025
Pavan Ghantasala
Lead Data Scientist at Wells Fargo
Pavan is a lead data scientist with Wells Fargo currently building AI ML models for cybersecurity and technology. His research interests include machine learning, NLP, deep learning, optimization and experimentation. His research is published in several top AI ML journals and regularly speaks at AI conferences. He received his masters from Purdue and MBA from IIT Madras.
Watch in-person: February 19
Is Machine Learning Still Relevant in the World of Generative AI?
In the era of generative AI, traditional machine learning (ML) may seem overshadowed, yet it remains a cornerstone of modern AI. This talk explores the enduring relevance of ML in a world increasingly dominated by generative models. While generative AI excels in creative and content generation tasks, it relies heavily on foundational ML techniques for data preprocessing, feature extraction, and model evaluation. The talk will delve into how ML continues to play a critical role in areas like predictive analytics, anomaly detection, optimization, and decision-making—domains where generative AI is less effective. By examining the symbiotic relationship between ML and generative AI, this presentation will argue that far from being obsolete, traditional ML methods are essential for enhancing and guiding the capabilities of generative AI, ensuring robustness, interpretability, and real-world applicability.