Michael has been with Congree Language Technologies since 2019 and is President of the Congree US-subsidiary Congree Language Technologies Inc.

Michael graduated with a degree in Business Management and has over 15 years of experience in the language technology industry. At Congree he spreads the message of content optimization the world over and supports global partners and customers. Before joining Congree in July 2019, he previously worked at Acrolinx and Across Systems.

In his spare time Michael is a passionate bass player and musician and can often be seen on stage with a number bands and music projects.

Honey, I Shrunk our Content Performance with GenAI

We are all talking about and dealing with GenAI in various ways in our content world, but how does content creation with GenAI really become suitable for companies?

The use of GenAI in content creation generates some challenges:

• How can I ensure that the use of GenAI does not ruin compliance with the company specific content targets I have created and defined?
  
• How can I use GenAI to support content creation while ensuring that meeting my defined content targets helps me to create compelling content? Content that contributes to a great customer experience and helps to increase the revenue of my organization? Content that performs?
  

This is where the challenge lies: with GenAI, another “author” and tool have been added, with a high risk of ruining compliance with your content targets and shrinking your customer experience.

In this presentation, Michael Mannhardt, will take a look at this questions and shed light on the various aspects.

In this session, attendees will learn:

• GenAI can provide excellent support for the content creation process
  
• But GenAI has risks that jeopardize compliance with company-specific content targets
  
• How can I ensure that my content targets are met even when using GenAI?
  
• How can linguistic intelligence help me to identify and minimize the risks regarding content targets when using GenAI?
  
• How can linguistic intelligence support me in making the use of GenAI more efficient and flexible?