The after-conference proceeding of the WCAIAA 2024 will be published in Springer Book Series, ‘Algorithms for Intelligent Systems’  

Ms. Shilpi Bhattacharyya

Ms. Shilpi Bhattacharyya

From Machine Learning to Generative AI: Trends, Transitions, and the Road Ahead

Abstract:

The rapid evolution from traditional Machine Learning and Deep Learning (ML/DL) to Generative AI (Gen AI) marks a transformative shift in the field of artificial intelligence. This talk explores the trajectory of this transition, highlighting the technological breakthroughs that enabled Gen AI’s rise, including advances in large language models, multimodal systems, and foundational architectures. We will examine emerging adoption trends across industries—from enterprise automation to creative content generation—and discuss the key challenges organizations face, including data governance, model explainability, cost, and talent adaptation. Attendees will gain insights into how this new paradigm is reshaping AI strategy, deployment, and innovation, and what it takes to successfully navigate the Gen AI frontier.

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