Saturday: Day in the Life of an Enterprise Data Scientist


Details
13% of the planet’s Gross Domestic Product or $10 trillion USD annually is running on massively parallel data processors. How do 12 million world-wide users scale these transactions for real time operations on 840 exabytes (nearly a zettabyte) of data every year? Dan McCudden and Bonnie Holub will share stories of how they are implementing these systems, and helping customers harvest the value of their answers using their analytics. This will include a demo as well as a “behind the scenes” peek into tools they use for development.
Presenter Bios:
Bonnie Holub leads the Data Science Practice in the Americas that helps businesses realize the promise of artificial intelligence and machine learning for pervasive data intelligence. Bonnie holds a PhD in Artificial Intelligence and has served a variety of roles including: VP Talent Analytics at Korn Ferry, Master Data Scientist at Cognizant, Analytics Director at PwC, and Enterprise Data Warehouse Program Manager at UCare Health Insurance. She has been an entrepreneur founding several companies, the most successful of which is Adventium Labs, an AI and secure software research organization. She has taught at the graduate level, and been involved with the founding of several successful Big Data, Data Science, and AI programs at several universities.
Dan McCudden is a Solution Engineer with 20 years of experience in retail applications and IT, including deep functional and technical expertise in designing, implementing, and maintaining enterprise-scale analytic ecosystems for the largest retailers. Dan has extensive experience with solving data and analytics problems in supporting three Central Region retailers: Target, Kohls and Best Buy. As a Teradata SE, Dan leverages skills focused on data architecture, data warehouses, analytics and associated domain knowledge to promote Teradata solutions. Dan has broad knowledge of the Big Data, data warehouse and analytic space, and experience with Teradata products and technologies. The SE articulates analytical ecosystem architectures and trends, and provides technical consulting, as a trusted advisor, to help the largest retailers answer pressing business questions.


Saturday: Day in the Life of an Enterprise Data Scientist