Masterclass: Road to Gen AI - Foundation for generating business value

In the modern, digitalized world, data is the key to innovation and competitive advantage. However, without well thought-out data management, it remains unused or leads to inefficiencies. Successful data management in the four dimensions is the basis for the successful use of Generative Artificial Intelligence (Gen AI) and other data-driven technologies. Without good data management, the use of AI would be ineffective or even entail additional risks.

In this masterclass, Senacor teaches the four central dimensions of data management and their interactions. They also introduce a maturity model that shows how companies can systematically optimize their data management. In an interactive case study, participants experience how a fictitious company gradually develops its data management from level 1 to level 5.

What challenges are being addressed?
Challenges such as a lack of data availability, insufficient data quality and increasing regulatory requirements are overcome through data management. There are numerous ways to use (Gen) AI in the insurance industry. The basis for its use is always effective data management.

Why is it worth taking part?
The masterclass provides a comprehensive understanding of the various aspects of data management and their interactions. Participants gain the knowledge they need to develop a clear vision for the use of modern data-driven technologies. In addition, the maturity model defined in the masterclass enables a targeted classification of current data management in one's own organization and helps to systematically derive the next steps and measures. Thanks to the methods and concepts learned, participants can establish effective data management, successfully use artificial intelligence and thus achieve a sustainable competitive advantage.

Target group: The event is aimed at IT decision-makers and managers in insurance companies in order to help them classify their own organization and identify concrete fields of action or to be able to discuss and plan the issues at eye level with the team leads used.
If you are unsure whether the masterclass is suitable, please contact Lilli Sprung turn!

 

The registration to this event is for exclusively for InsurLab Germany members It is an On-site event. If the above criteria apply to you, you can register here:

Of course, it can happen that one is prevented despite interest. Therefore a request: If you have registered for one of our events but are unable to attend, please cancel as early as possible by sending an e-mail to connect@insurlab-germany. In this way, we can further optimize our planning and make it possible for interested parties to participate. Thank you for your understanding!

On site, the then current Measures for infection protection.

Film and sound recordings as well as photos will be taken at the event. By registering for the event, you agree to their subsequent use.

Date

Apr 08 2025

Time

13:00 – 17:00

Location

InsurLab Germany Office Space
Hohenzollernring 85-87, 50672 Cologne, Germany
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Masterclass: Road to Gen AI - Foundation for generating business value

Date

Apr 08 2025

Time

13:00 – 17:00

Location

InsurLab Germany Office Space
Hohenzollernring 85-87, 50672 Cologne, Germany

In the modern, digitalized world, data is the key to innovation and competitive advantage. However, without well thought-out data management, it remains unused or leads to inefficiencies. Successful data management in the four dimensions is the basis for the successful use of Generative Artificial Intelligence (Gen AI) and other data-driven technologies. Without good data management, the use of AI would be ineffective or even entail additional risks.

In this masterclass, Senacor teaches the four central dimensions of data management and their interactions. They also introduce a maturity model that shows how companies can systematically optimize their data management. In an interactive case study, participants experience how a fictitious company gradually develops its data management from level 1 to level 5.

What challenges are being addressed?
Challenges such as a lack of data availability, insufficient data quality and increasing regulatory requirements are overcome through data management. There are numerous ways to use (Gen) AI in the insurance industry. The basis for its use is always effective data management.

Why is it worth taking part?
The masterclass provides a comprehensive understanding of the various aspects of data management and their interactions. Participants gain the knowledge they need to develop a clear vision for the use of modern data-driven technologies. In addition, the maturity model defined in the masterclass enables a targeted classification of current data management in one's own organization and helps to systematically derive the next steps and measures. Thanks to the methods and concepts learned, participants can establish effective data management, successfully use artificial intelligence and thus achieve a sustainable competitive advantage.

Target group: The event is aimed at IT decision-makers and managers in insurance companies in order to help them classify their own organization and identify concrete fields of action or to be able to discuss and plan the issues at eye level with the team leads used.
If you are unsure whether the masterclass is suitable, please contact Lilli Sprung turn!

 

The registration to this event is for exclusively for InsurLab Germany members It is an On-site event. If the above criteria apply to you, you can register here:

Of course, it can happen that one is prevented despite interest. Therefore a request: If you have registered for one of our events but are unable to attend, please cancel as early as possible by sending an e-mail to connect@insurlab-germany. In this way, we can further optimize our planning and make it possible for interested parties to participate. Thank you for your understanding!

On site, the then current Measures for infection protection.

Film and sound recordings as well as photos will be taken at the event. By registering for the event, you agree to their subsequent use.

QR Code