Juanita Dion-Chiang is the offering manager for IBM Cloud and Cognitive Applications team. Her focus is to help companies bring cloud-native development to its modernization. She builds active developer outreach communities for Open Source and IBM Cloud Paks. She joined IBM Information Management System Z with Java onDemand products, later expanded her expertise in areas of DevOps, Product Development, Release & Complex Program Management for global technical teams. Her passion and knowledge are to bring professional teams focusing on the company’s big visions and break them down into executable deliverables aligning short and long terms customers’ success. She was the 2012 YWCA Silicon Valley TWIN award recipient in the Emerging Leaders category.
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.