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Ariel
Gamiño
Lead AI Engineer
Trajector Medical
Ariel Gamiño is a leader in AI at Trajector Medical, focused on advancing support for disabled veterans through medical evidence. With a deep commitment to education, he has taught data analytics for four years, initially at the University of Texas at Austin and now through a network of universities nationwide. Ariel holds degrees in Computer Science Engineering (University of Texas), Software Engineering (Harvard), and Predictive Analytics (Northwestern). He is also a published author with expertise in data science and recommendation systems. As President of the Harvard Extension Alumni Association, Ariel fosters a global community of 40,000 members, driving initiatives that promote lifelong learning and professional collaboration. He regularly speaks at tech and educational events, advocating for diversity in technology and encouraging underrepresented students to pursue tech careers.
12 February 2025 16:00 - 16:30
Panel: Bridging the gap between theory and practice - Real-world gen AI
This session will bridge the gap between theoretical concepts and real-world applications. We'll delve into the technical foundations of generative AI, exploring cutting-edge architectures and algorithms Through practical examples and case studies, we'll demonstrate how to leverage generative AI to solve complex problems, automate tasks, and create innovative solutions Join us to gain a deeper understanding of the technical intricacies of generative AI and learn how to apply this powerful technology to your own projects Key takeaways: - Gain a deep understanding of the core concepts and algorithms that underpin generative AI, including neural networks, deep learning, and generative models - Explore practical use cases of generative AI across various industries, from creative content generation to drug discovery and beyond