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AWS IAM Roles Anywhere allows non-AWS workloads to directly assume IAM roles, providing a more secure alternative to long-term AWS access keys.

Product experimentation teams often struggle with causal inference on LLM-based features due to the opt-in trap, where users who click to opt in differ systematically from those who don't. Propensity score methods can help reweight comparison groups to approximate a randomized experiment.

When measuring model quality, standard regression approaches can be flawed due to confounding variables. This tutorial shows how to use instrumental variables to extract a clean causal estimate from LLM routing decisions in Python.

Product teams can use counterfactual estimation to answer retrospective questions about the effects of AI prompt engineering, despite the lack of random treatment assignment in logged production data.

Standard product experiments answer a binary question about average efficacy, but uplift modeling turns that binary into a nuanced spectrum, estimating a conditional average treatment effect for each user based on their specific features.

Discover how to avoid p-hacking and stop early in product experiments using the mixture Sequential Probability Ratio Test (mSPRT) and sequential testing. This tutorial provides a step-by-step guide on implementing mSPRT in Python and applying it to a synthetic LLM product dataset.

Collaborator contamination occurs when users in a control group are influenced by treated users in a collaborative workspace, leading to biased results in product experiments. Cluster randomization is a technique that can help overcome this issue by flipping the coin at the workspace level.

The Global Rollout Problem occurs when a team ships a model upgrade to the entire user base simultaneously, eliminating the control group. Synthetic control is a solution that builds a weighted combination of untreated units to estimate causal effects.

In the world of web technology, data is often described as the new oil. Every interaction we have online — from saving a shopping cart to making a purchase — generates data that needs to be stored, managed, and secured.

The internet has become a breeding ground for privacy concerns, with increasing threats to personal data and online security. From data breaches to surveillance capitalism, the risks are real and growing. In this article, we'll delve into the challenges facing internet privacy in 2026 and provide practical tips on how to protect yourself.

When it comes to managing facilities, organizations need a reliable software solution to streamline scheduling, bookings, and operations. In this article, we'll explore the best facility management software and provide guidance on how to choose the right solution for your organization.