By using website you agree to our use of cookies as described in our cookie policy. Learn More


Available On-Demand - This webinar has been recorded and is now available for download.

Unlocking the Power of AI with Unstructured Data in Large Data Lakes

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Wednesday, April 26, 2023

Time: 9:00 a.m. PT, 12:00 p.m. ET

Large data lakes hold immense potential for businesses, thanks to the combination of structured and unstructured data. However, organizations often struggle to analyze unstructured, unlabeled data, such as images, video, and documents. Despite this challenge, many enterprises are collecting this data to power advanced analytics use cases, including image recognition.

In this webinar, we will explore how leading enterprises are leveraging the power of unstructured data to gain faster business insights and build AI applications. Experts from Databricks and Labelbox will provide insights on how to harness unstructured data for business value, including best practices for extracting insights from large data sets and techniques for integrating structured and unstructured data.

Topics include:

  • Iterative labeling of training data utilizing humans, automation, or both
  • How data and AI teams can prepare unstructured data for building AI models
  • How to address high-volume projects at scale

Guest Speakers

Clayton Severson
Solutions Architect

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 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.

Christopher Amata
Staff Solutions Engineer

Christopher Amata is a staff solutions engineer at Labelbox where he designs and deploys technical solutions for enterprise AI teams. He is also a lead developer for the Labelbox + Databricks Connector, a Labelbox initiative to accelerate unstructured data workflows in Apache Spark. Christopher holds a BA from Middlebury College where he researched the implications and novel applications of transfer learning.

Fern Halper, Ph.D.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.