Revolutionizing Enterprise AI: The Power and Promise of Foundation Models
Speaker: Kaoutar El Maghraoui – Yorktown Heights, NY, United StatesTopic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing , Hardware, Power and Energy
Abstract
Modern AI models excel at processing vast amounts of data and addressing complex problems through innovative solutions. As we progress, AI is undergoing a transformative shift towards the use of versatile foundation models. Unlike task-specific models, foundation models are trained on extensive unlabeled datasets and can be fine-tuned with minimal effort to suit various applications. This makes them a cornerstone for a broad spectrum of AI use cases, utilizing self-supervised learning and fine-tuning techniques to effectively apply their generalized knowledge to specific tasks.
In the enterprise, foundation models are setting the stage for a revolution in AI adoption. They significantly reduce the need for labor-intensive data labeling and model programming, making it easier for enterprises to deploy AI across mission-critical operations. This lecture will explore strategies for broadening the implementation of foundation models across enterprises within a seamlessly integrated hybrid-cloud environment. The discussion will extend to developing software, middleware, and hardware that support cloud-native development and maximize the utility of foundation models in enterprise AI applications, focusing on real-world industry scenarios.
Additionally, this lecture covers current research trends and provides insights into the future trajectories of foundation models, illustrating how they continue to evolve and reshape the landscape of artificial intelligence in the business sector.
About this Lecture
Number of Slides: 60Duration: 60 minutes
Languages Available: English
Last Updated:
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