WEBVTT

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Johannes, thank you so much for
being here with us today.

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What are some of the biggest
issues that companies are facing

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when it comes to data quality?

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Poor data quality can lead to
extreme financial reputational risks.

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So, keeping an eye on data
quality and data quality issues

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is something that's key for
every company.

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So how can these companies
leverage GenAI here?

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GenAI is not a silver bullet.
But together with advanced

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algorithms, machine learning,
and then LLMS or

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GenAI in general, it starts to
be like an orchestra, like in a

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concert: every different
instrument is playing a special

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role, and together it's
something great is being created.

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So, this is something that we
see as a key point for data quality.

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What are some important tech
trends to watch for in the future?

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So, we double down on the
GenTech AI workflows.

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That means we connect the
software 1.0, the advanced

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algorithms, software 2.0, the
machine learning, and then the

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software 3.0, the LLMs, together
in workflows that work in symphony.

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Thank you so much.