As private markets continue to grow, fund managers are increasingly turning to AI to improve efficiency and free up time for higher-value work. Yet fragmented ...
In this post, I turn my attention to divergences in risk across companies, looking at alternative measures of risk and how ...
Personal Perspective: "Normal" isn’t perfection but a statistical range based on population data. Diagnoses compare ...
I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: “What’s the ROI on GenAI?” ...
Abstract: Addressing the challenges of multi-energy systems in data collection and integration — such as heterogeneity, spatial disparities, and temporal scale mismatches—this paper investigates the ...
In August 2024, the US National Institute of Standards and Technology (NIST) finalized three Post-Quantum Cryptography (PQC) standards, known as FIPS 203, 204, and 205. These standards incorporate ...
Abstract: The rapid advancement of artificial intelligence (AI) in healthcare has accelerated innovations in medical algorithms, yet its broader adoption faces critical ethical and technical barriers.
We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...
In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...
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