Bridging the Gap: Strategies for Translating AI Research Findings to Industrial Sectors
Abstract

The lecture delves into the realm of Datacentric AI solutions, elucidating their critical role in bridging the gap between academic research and industrial applications. The discourse extensively explores the commercialization potential of well-labeled data, emphasizing its pivotal role in enhancing the practicality and efficiency of artificial intelligence. Moreover, the lecture provides insightful and tangible examples of how entrepreneurs can build successful companies and strategically exit the market by centering their efforts around Datacentric AI solutions. By offering a practical lens on these strategies, the lecture equips its audience with valuable knowledge on navigating the complexities of the industrial landscape and translating cutting-edge AI research into impactful real-world applications.

 

Speaker: Professor Dmitry Mikhaylov
Date: 25 January 2024 (Thursday)
Time: 10:00am – 11:00am
PosterClick here

 

Biography

Prof. Mikhaylov, a visitor of SDSC, specializing in Big Data, AI, and deeptech engineering. He holds a PhD in Artificial Intelligence from the University of Warwick. His academic journey includes contributions to esteemed institutions like the Russian Academy of Science, the National University of Singapore, the Abu Dhabi Academy, and Huazhong University of Science and Technology.
Currently serving as an AI expert for the United Nations, Prof. Mikhaylov brings a practical dimension to his expertise by actively commercializing AI startups. With three successful exits in his career, he demonstrates a keen understanding of translating research into business innovation. Alongside 27 granted patents and authorship of 10 books in three languages, Prof. Mikhaylov's impactful career spans both academia and the dynamic landscape of AI entrepreneurship.