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Art and algorithms at Sotheby’s

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Why This Matters

Kelly Shen’s work at Sotheby’s exemplifies the increasing integration of technology and art, showcasing how algorithms can enhance auction processes and predict art prices. This convergence highlights the growing importance of data-driven tools in the traditional art world, benefiting both collectors and institutions. As technology continues to evolve, the art industry is poised to become more efficient, accessible, and innovative.

Key Takeaways

Do fine art and high tech ever converge? At Sotheby’s they do, thanks to Kelly Shen ’17. Shen works in the growing field of art intelligence for the New York auction house.

Shen builds algorithms to predict prices, using factors like buying trends and artists’ popularity. She has also worked on such efforts as cataloguing and ensuring that real-time systems can handle thousands of potential bidders visiting the house’s website. At the same time, she serves MIT as a class officer, vice president of the Association of MIT Alumnae, and a volunteer for the MIT Club of New York.