Qlik – Workshop:
From passive reactions to ML-supported, predictive actions.

October 26th, 11:45 – 01:00 pm

Code-free, automated machine learning for all “line of business”, without being a Data Scientist – how is this possible?

In this workshop, we will show you how Qlik AutoML brings the power of machine learning to your analytics teams with a simple, code-free user experience, allowing you to go beyond descriptive analysis to predictive and prescriptive analytics. We will present a practical use case based on an example from telecommunications industry, which will reveal how you can easily create ML experiments, train models, and identify key drivers in your data to make the best decisions and take the right actions.

At the same time, we are looking forward to you sharing your own experience, collecting your daily questions and challenges, and elaborating on use cases in your industry for the 3 stages of data analytics:

  1. Descriptive
  2. Predictive
  3. Prescriptive

After this workshop, you will know how you can benefit from the advantages of Qlik AutoML and become a data-driven and agile organization – across all company hierarchies.

Speaker: Ekaterina Kovalenko, Solution Architect | Qlik

Ekaterina Kovalenko supports Qlik‘s Pre-Sales team as a Solution Architect in the DACH region. She has extensive knowledge in database development (on-premises and in the cloud), data preparation and data visualisation. In addition, she has a lot of experience in data quality analysis, cleansing and BI monitoring.