SPEAKER DETAILS

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Juanita Dion

twitter.com/juanita_dion
Juanita Dion is the Program Strategy Lead for IBM San Francisco City Developers' Advocacy team. She has wide diverse background with Bachelor degree in Civil Engineering and Music Education and Master degree in Electrical Engineering which her thesis is in Signal Processing Wireless Detection with a joined project effort with US Department of Defense and Virginia Tech R&D; later moved and transferred her scholarship to Michigan State University in Signal processing of fracture detection for Nuclear Facility. She joined IBM Information Management System Z with Java onDemand products, later expanded her expertise in areas of DevOps, Product Development, Release and Complex Program Management for Global technical teams. Her passion and expertise are to bring technical teams focusing on company’s big visions and break them down into executable deliverables aligning short and long terms customers’ success. She was 2012 YWCA Silicon Valley TWIN award recipient in Emerging Leaders category and was awarded as IBM Silicon Valley Volunteer of the Year in 2015.

Sessions

Introduction to lifecycle of Data science and IBM MAX

Level :
Beginner
Date :
11:00 AM Saturday
Room :
Fireside D
Track :
IBM Cloud
Interested : (-) - Registered : (-)

Data Science is OSEMN (awesome) . Now in all our minds one question will definitely pop up, Why Data Science is awesome?. It is because it automagically lets you predict things and find unknown patterns as well as trends in your data. One of the crucial steps in the data science lifecycle is model development. This can be visualized as your toolbox and all algorithms as tools.Choosing the best tool is crucial as it directly enhance your business decision making.

In this talk, we will walk you through the life cycle of data science and introduce you IBM’s Model Asset Exchange (MAX). MAX provides a curated list of ready-to-run machine learning models for wide range of applications. We will explore how to use MAX models and also build own web app using MAX models.

Details
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