Experienced tech-agnostic Data Scientist with 14 years in the field, certified as a Generative AI Engineer by Microsoft & IBM, recognized for both academic and athletic achievements. Skilled in implementing end-to-end AI-ML Data Analytics solutions across diverse industries (11), departments (7), and projects (30) in 7 countries. With a strong background in R&D, as well as experience as a Big Data Analytics lecturer, technical presenter, and project manager, he excels in resource management, communication, and business strategy.
Join us for an insightful session exploring the fast-evolving landscape of artificial intelligence. We’ll delve into emerging technologies driving innovation, with a spotlight on the underlying technologies behind generative AI and the evolution of large language models (LLMs). Discover how new model architectures are now bridging text, vision, and audio to enable truly multimodal AI, supported by the latest AI frameworks and tools. Real-world use cases will illustrate AI’s growing impact across industries, while we also examine future possibilities and the key challenges —ethical, technical, and societal— that must be addressed as AI continues to shape our world.
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