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Accelerating AI by Overcoming Data Drag with a Speed Layer

Feb



In the AI era, businesses rely on fast, accurate, and actionable data to stay competitive. However, most organizations struggle with data drag—inefficiencies caused by slow, siloed, or unstructured data that prevent AI from making real-time decisions. The solution? A Speed Layer—a high-performance data infrastructure that ensures seamless data flow, instant processing, and AI-driven automation.


By implementing a speed layer, companies can reduce operational delays, boost decision-making by 5x, and cut inefficiencies that slow down digital transformation. From real-time analytics to AI-powered predictions, the speed layer is the missing piece in unlocking AI’s full potential.

By Brian Lambert, PhD

Keywords: Agentic AI, Agile, Generative AI

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