A framework to bootstrap and scale a machine learning function

Madhura Dudhgaonkar (Hiring) (Workday)

11:55am–12:35pm Thursday, September 12, 2019

Location: LL21 E/F

AI Business Summit, Implementing AI

Secondary topics: Machine Learning, Temporal data and time-series

Average rating:

(4.25, 4 ratings)

Who is this presentation for?

Data scientists, machine learning engineers, data science managers, and machine learning product managers

Level

Intermediate

Description

With the hype around artificial intelligence and machine learning sky high and the perceived talent shortage, it’s still extremely hard for organizations to build their machine learning efforts.

Madhura Dudhgaonkar breaks down the lessons learned into an an actionable framework to bootstrap and scale a machine learning product function. You’ll see the framework in action through an actual 0 to 1 product journey, involving deep learning where value was delivered in record speed in spite of not having a dataset. You’ll hear counterintuitive tips that Madhura has been using to productize ML services over the last 5+ years (using a diverse range of technologies—vision, language, graph, anomaly detection, search relevance, and personalization).

Prerequisite knowledge

A basic understanding of the machine learning discipline

What you'll learn

See an actionable framework to begin and scale your ML product journey
Discover tips on all sides of the equation for bootstrapping and scaling ML functions

Madhura Dudhgaonkar (Hiring)

Workday

Madhura Dudhgaonkar is a machine learning leader at Workday, where she’s passionate about modernizing the future of work. She’s part of the Workday ML organization, a pioneer in the enterprise machine learning space, and has spent 5+ years building ML products leveraging vision, natural language processing, recommendations, anomaly detection, and more. Previously, Madhura’s work ranged from a hands-on engineer to leading large organizations across Sun Microsystems, Adobe, and Workday. Her background covers building consumer and enterprise products—the latest involving multiple 0 to 1 product journeys leveraging machine learning. She’s considered a thought leader in building ML products and is frequently invited to speak at AI conferences. Madhura holds a master’s degree in math and computer science. When not obsessing over technology, she can be found outdoors, running, hiking, or snowboarding.