We've gone from command lines to graphical interfaces. The next great leap in how we interact with computers won't be seen, it will be understood. AI is poised to become the ultimate translator between human intent and machine execution.
How AI agents are skewing marketing metrics and why traditional A/B testing needs to evolve for the age of autonomous digital interactions.
How Peakhour's contextual security aligns with Visa's data-driven risk management approach in the 2025-2028 Security Roadmap.
Click fraud drains marketing budgets and corrupts campaign data. Learn how bots and residential proxies impact your ad spend and marketing strategy.
An in-depth exploration of EPSS, its data-driven approach to assessing cybersecurity threats, and how it complements CVSS.
Scraping competitor websites is a common practice, but is it legal? Read on to find out.
Details the use of ZDNS, a high-performance DNS toolkit, to create a comprehensive Reverse DNS (rDNS) lookup database by scanning the entire internet, and how randomizing the IP space overcomes UDP timeout issues.
This article explores the use of Double Median Absolute Deviation (Double MAD) for anomaly detection in time series data, particularly in skewed or non-symmetric distributions.
A look at the limitations of Double MAD for anomaly detection, and a comparison with the Z-score method, to help you choose the right approach for your data.
An introduction to Locality Sensitive Hashing (LSH) and its application in load balancing, including consistent hashing and its use in CDNs and Google's Maglev for efficient server pool management.
Discusses strategies for scaling the Robust Random Cut Forest (RRCF) algorithm for large-scale anomaly detection, including using summary statistics, buffering input, and parallelisation.
Explores various thresholding techniques like Median Absolute Deviation (MAD), Min/Max, and Z-Score for interpreting Robust Random Cut Forest (RRCF) anomaly scores, crucial for classifying data points as normal or anomalous.
Learn where Google gets the performance data it uses when ranking your website.
This installment on website performance introduces Google Lighthouse as a measuring tool. Read on to see how we use it here at Peakhour.
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