How to Get Your Data AI-Ready
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, December 7, 2022
Time: 12:00 p.m. PT, 3:00 p.m. ET
Half the battle of AI is getting your data ready for AI in the first place. It can be a struggle to transform data into a usable format for developing and training machine learning models, which can include data blending, enrichment, and feature creation. This is especially true as the volume and diversity of data increases. It can be tough to both scale data and to get it ready for machine learning.
In this webinar, you’ll learn how everyone in your organization can help get your data AI-ready. We’ll walk through a real-life use case and share best practices including:
- Practical, real-world business applications for AI/ML
- How to build an automated, repeatable workflow to save time and optimize data preparation and model creation
- How the Alteryx Analytics Automation Platform and Databricks bring together the processes of data preparation and blending, machine learning model creation, and MLOps, making analytics and AI initiatives easier
Clayton Severson graduated in 2011 from Iowa State University with a bachelor’s of science in biochemistry, starting and running his own business for the next five years led him to Nashville where he accepted a job offer with HCA Healthcare in 2016. His data work was focused on implementations and analysis of EMR, claims, and HR data. Working in SQL and Python during the day, he earned his MBA from Belmont University during the evenings, leaving HCA in 2020 for an opportunity with Kythera Labs, an OEM Databricks partner out of Franklin, TN. He worked there until May 2022 when he accepted a job as a solutions architect at Databricks.
Technical Product Marketing Manager
Vishal works as part of the product and solutions marketing team. With a strong focus on product, as well as working with Alteryx customers and partners, Vishal is passionate about developing and presenting the Alteryx product portfolio, as well as being an active thought leader within data and analytics space.
Fern Halper, Ph.D.