Bringing the Power of Your Data to AI

Donderdag 10:15 - 10:45

Lezingenzaal 7

Jaap-Willem Verheij van Wijk

Enterprise Sales Director Benelux (Qlik)

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Over the past year, the landscape of technology has undergone a seismic shift with the rise of Generative AI, fundamentally transforming how organizations operate and strategize. This evolution has led to a significant re-prioritization of resources and budgets, thrusting AI-enabled Data & Analytics back into the spotlight as a crucial component of business success.
In this session we will discuss:

The Indispensable Role of Quality Data: Generative AI cannot thrive without a solid foundation of data. However, it’s not just any data that will suffice; it’s about having the right data
Creating a Cohesive Data Environment: The importance of organizing and trusting your data cannot be overstated. We will discuss strategies for creating a unified data ecosystem
Laying the Groundwork with a Solid Data Integration Strategy: Finally, we’ll focus on why your data integration strategy is the bedrock of successfully utilizing AI. By seamlessly integrating disparate data sources, organizations can ensure that their AI models operate on comprehensive and high-fidelity datasets.

Join us as we unpack these essential elements and equip your organization with the knowledge to effectively harness the power of Generative AI, ensuring that you stay ahead in this rapidly changing technological landscape.

The Indispensable Role of Quality Data: Generative AI cannot thrive without a solid foundation of data. However, it’s not just any data that will suffice; it’s about having the right data
Creating a Cohesive Data Environment: The importance of organizing and trusting your data cannot be overstated. We will discuss strategies for creating a unified data ecosystem
Laying the Groundwork with a Solid Data Integration Strategy: Finally, we’ll focus on why your data integration strategy is the bedrock of successfully utilizing AI. By seamlessly integrating disparate data sources, organizations can ensure that their AI models operate on comprehensive and high-fidelity datasets.