Hero Banner Description Text

How to Wrangle Data for Machine Learning on AWS

Machine learning outcomes are only as good as the data they are built upon, but preparing data for machine learning is a time-consuming process. The work of preparing data (data wrangling) for analytics can consume over 80% of the project effort.  

Data wrangling solutions running on Amazon Web Services (AWS) can help streamline machine learning applications so that your teams can focus on the work that really matters: creating accurate predictions that improve your products, services, and your organization's efficiency .

Join our webinar to hear how Consensus, a Target-owned subsidiary, utilizes AWS and Trifacta to prepare data for use in fraud detection algorithms. You’ll learn how self-service automated data wrangling can save your organization time and money, and tips for getting started with Trifacta’s solution, built for AWS.
Webinar attendees will learn:

  • Why automating your data wrangling tasks can lead to greater data accuracy and more meaningful insights.
  • How you can reduce your data preparation time by 60% and more with self-service data wrangling tools built for AWS.
  • How easy it is to get started with machine learning solutions for data wrangling on the cloud.
When: Available On Demand (please register to view)

Who Should Attend:
Analytics leaders (VPs/Directors/Heads of Analytics, Data Strategy, Customer Insights, Consumer Insights, Big Data, and/or Digital Strategy), Enterprise Information Managers or Directors, data scientists, data analysts, and all data-driven professionals are encouraged to attend this webinar.

AWS Speaker: Pratap Ramamurthy, Partner Solutions Architect
Trifacta Speaker: David McNamara, Customer Success Manager
Customer Speaker: Harrison Lynch, Sr. Director of Product Development, Consensus Corporation