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Jaime Teevan
Chief Scientist & Technical Fellow at Microsoft - for speaking requests please contact [email protected]
Jaime Teevan is the Chief Scientist and Technical Fellow at Microsoft, with expertise in productivity, artificial intelligence, human-computer interaction, machine learning, data mining, and personalized search. She has been recognized by TIME as a key figure in AI development and societal progression. Jaime led the development of M365 Copilot and the first personalized search algorithm for Bing. She played a significant role in Microsoft's research on hybrid work during the pandemic, and served as a Technical Advisor to Microsoft's CEO. With a Ph.D. in AI from MIT and a B.S. from Yale, she is also an Affiliate Professor at the University of Washington.
Highlights
Want to know how generative AI will change how you really work? Find the answer in Microsoft's brand-new report on "Generative AI in Real-World Workplaces."
Most research to date studying generative AI's impact on work has been conducted in a controlled lab setting. This is our second report on the topic, and while the first focused on lab studies, this one summarizes the findings from over a dozen studies and 50+ researchers on the application of generative AI in real-world workplaces.
Results suggest that the positive productivity effects observed in a lab setting are beginning to manifest in real-world work. But, even more importantly, they show how generative AI can provide even greater impact as work practices evolve. Find out how by reading the report. Productivity gains aren’t just for the lab anymore!
Link to the new report: https://lnkd.in/gbAvRsyF (Link to the first report: https://lnkd.in/gmEnzPav)
Editors: Sonia Jaffe, Neha Shah, Dr. Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
#GenAI #NFW #FutureofWork #AI #NewFutureOfWork #ProductivityBoost
You can’t perceive a 100 ms delay, but when your search results are just 100 ms slower you think they’re worse. LLMs prove the benefit of little extra compute time. Can #SlowSearch teach us how to make the latency worth it?
For more, see: Slow Search (https://lnkd.in/gc5wSxcy) by Jaime Teevan, Kevyn Collins-Thompson, Ryen White & Susan Dumais.
#NewFutureofWork #Slide23 #SlowSearch #SlowAI #Latency https://lnkd.in/gNd8nDDh
#Slide22 (prev): https://lnkd.in/gVHDGXCi #Slide24 (next): https://lnkd.in/gEMbfQUc
[Slides from the New Future of Work report: http://aka.ms/nfw2023]
