Sep 9–12, 2019

Executive Briefing: An Age of Embeddings

Mayank Kejriwal (USC Information Sciences Institute)
4:50pm5:30pm Thursday, September 12, 2019
Location: LL21 A/B

Who is this presentation for?

Product managers, engineering leads, CTOs




Word embeddings first emerged as a revolutionary technique in NLP in the last decade, allowing machines to read large reams of unlabeled text and automatically answer analogical questions such as ’What is to man as queen is to woman?‘ Modern embeddings leverage advances in deep neural networks to be effective. Following the success of word embeddings, there have been massive efforts in both academia and industry to embed all kinds of data, including images, speech, video, entire sentences, phrases and documents, structured data, and even computer programs. These piecemeal approaches are now starting to converge, drawing on a similar mix of techniques. In this talk, I will discuss this ongoing movement that is attempting to embed every conceivable kind of data, sometimes jointly, to build ever-more powerful predictive models. Throughout the talk, I will make a business case for why you should care about embeddings, and how you can position them as your organization’s ‘secret sauce’ within a broader AI strategy.  

Prerequisite knowledge

It would be very helpful for the typical attendee to have some background and experience in implementing or deploying (or be in the process of) real-world machine learning projects, especially using neural networks.

What you'll learn

--Embeddings have become the bread and butter of modern neural machine learning, but what are they really? --Why are embeddings so useful for predictive analytics? --How can embeddings be used to bolster your organization's AI strategy?
Photo of Mayank Kejriwal

Mayank Kejriwal

USC Information Sciences Institute

Mayank Kejriwal is a research lead and research assistant professor at the USC Information Sciences Institute, where he conducts research on multiple Department of Defense-funded AI projects, on topics ranging from knowledge graphs to deploying AI for global social impact. Mayank has given talks in over 30+ academic and industrial venues, and was on the Forbes 30 under 30 (2019) shortlist in the Science category. He is currently co-authoring a textbook on knowledge graphs, and his work on using AI to combat human trafficking has been featured in multiple press outlets.

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