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Episode 2: How to Become an
AI-Powered Organization

Trasformare l'IA da tendenza a realtà

Introduzione

Generative AI holds the potential to usher in a new era of productivity and prosperity.

However, the current lack of data traceability and quality control in generative AI poses a significant risk, allowing unverified data to compromise the reliability of its output. If unaddressed, this issue could exponentially endanger both business and society.

We need to find a new model that promotes better – and trusted – data. This means data that goes beyond the three classic Vs associated with big data - Volume, Velocity, and Variety - to also incorporate the two Vs of Validity and Value.

But how can we do this?

At the beginning of this year, we released Qlik’s annual 10 Trends in Data, Analytics, and AI. The purpose of these trends is to help your organization move forward on the path of ensuring that all data is trusted data with value in the AI economy. If you haven’t read it, you can access the full thought leadership paper here or watch the webinar on demand.

Now that you have some background, let’s talk about how we incorporate these trends into our business practices.

Dan Sommer

Senior Director, Market Intelligence Lead
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10 Trends: Data, Analytics & AI

A Lesson in Trendsetting

Qlik's Dan Sommer joins Ronald Van Loon to discuss what makes Qlik's annual Trends predictions different from other trends in the market.

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