Accelerating AI-driven Outcomes with Qlik and AWS

The Modern Data Challenge — Amplified by AI

As organizations pursue AI initiatives, modern data challenges ‒ from the increasing volume and velocity of data to the massive variety of data ‒ can easily send projects down the path of failure. The models themselves can be flawed, leading to incorrect predictions or hallucinations. Often, organizations have over-rotated on generative AI, improperly throwing it at every use case when other forms of AI could be better suited. And they have engaged in long and complicated build cycles, treating AI as a science project instead of a business project, isolated from business outcomes and value.

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Predictive AI (forecasting, classification, ML)
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Accelerating AI-driven Outcomes with Qlik and AWS