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Zena Al Maskari on Muck Rack

Zena Al Maskari

As seen in: MSN, Entrepreneur, Entrepreneur en Español, Entrepreneur Europe, International Business Times (U.S.), The Sociable, The Bogota Post, Startup Beat

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Articles

Why Python remains the AI industry’s biggest performance bottleneck

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By Pablo Sierra, Zena Al Maskari
| Startup Beat Verified
This article is about the strangest trade-off in modern engineering: the industry that computes faster than anything in human history conducts those computations in one of the slowest languages in the history of programming. And about what happens once we stop treating that as a law of nature. Let us begin with a scene that plays out every day in thousands of companies. A data centre. Racks of accelerators, each performing hundreds of trillions of operations per second.
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How to choose the best autoscaling metrics for AI workloads

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By Pablo Sierra, Zena Al Maskari
| Startup Beat Verified
On a GPU inference pod, CPU is a decorrelated proxy: it can sit at 30% while the accelerator is pinned and requests pile up behind it. Scale on the signal actually on the critical path—backlog and GPU utilization—with KEDA. On a GPU-served model, the CPU handles tokenization, HTTP, and batch assembly. The work that saturates lives on the accelerator. CPU utilization is a decorrelated proxy.
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’Cognitive Surrender’ Isn’t Just Affecting Employees, But Whole Organizations Too

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By Zena Al Maskari
| International Business Times (U.S.) Verified
A recent Boston Consulting Group (BCG) report shows most companies still struggle to gain value from AI, pointing to people change management as the solution, not solely focusing on the technology. Researchers at the Wharton School have coined the term "cognitive surrender" to describe the tendency to accept artificial intelligence (AI) outputs without scrutiny.
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