A framework to bootstrap and scale a machine learning function
Who is this presentation for?Data Scientists, Machine Learning Engineers, Data Science Managers, Machine Learning Product Managers
With the hype around Artificial Intelligence and Machine Learning still being sky-high and the perceived talent shortage, it is still extremely hard for organizations to build their machine learning efforts. In this session, you will walk away with an actionable framework to bootstrap and scale a machine learning product function. You will see the framework in action through an actual 0 to 1 product journey involving deep learning where we delivered value in record speed in-spite of not having a dataset when we started. You will hear the counter-intuitive tips that we have been using to productize ML services over the last 5+ years. (Using a diverse range of technologies – Vision, Language, Graph, Anomaly Detection, Search Relevance, Personalization)
Prerequisite knowledgeHaving at least a shallow understanding of Machine Learning discipline.
What you'll learnActionable framework to begin and scale your ML product journey. You will walk away with tips on all sides of the equation for bootstrapping and scaling ML function - How do you pick what you begin with, how do you choose the right team, how do you decide timelines, how do you choose right ML frameworks, how do you get stakeholder buy-in and alignment, how do you productize models, how do you architect ML pipelines.
Madhura Dudhgaonkar (Hiring)
Madhura Dudhgaonkar is a Machine Learning leader at Workday passionate about modernizing the future of work. She is part of the Workday ML organization who is 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. Madhura’s career journey goes from being a hands-on engineer to leading large organizations across SUN Microsystems, Adobe and now Workday. Her background covers building consumer and enterprise products – latest of them involving multiple 0 to 1 product journeys leveraging Machine Learning. She is 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.
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