Introduction Existing systems estimate user price sensitivity primarily from spending behavior or demographic proxies. They do not systematically account for residential property values, which can indicate a user’s financial circumstances. This omission creates three limitations: Limited property insights: Existing profiles do not account for property values. One-dimensional profiles: Users with similar spending patterns but different living standards receive the same classification. Regional variation: Manual classification does not adapt well to differences between property markets. This…
AI Gateway User Insights now adds task, model, turn, and user categories to help teams understand AI adoption and make better model decisions. This is available free to AI Gateway users.
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Cloudflare has added visibility into post-quantum (PQ) encryption in TLS 1.3 directly into HTTP Analytics, Log Explorer, and Logpush. Learn how to make sure your domain is protected with PQ encryption.
Cloudflare is open-sourcing the BEACON dataset, making billions of anonymized Real User Monitoring (RUM) performance records publicly available on Google BigQuery. Explore real-world Core Web Vitals, soft navigation metrics, and performance breakdowns across browsers and regions.
Matomo, formerly known as Piwik, is open-source web analytics software used to track websites’ visitors. As an alternative to Google ... Read More The post How to Install Matomo on Ubuntu 26.04 appeared first on RoseHosting.
AWS Glue 6.0 is built on a fully modernized runtime, Apache Spark 4.1, Python 3.13, and Scala 2.13, delivering 30% lower pricing than previous AWS Glue versions.
Introduction At Grab, analytics sits close to almost every decision that matters. Our north star is the democratisation of intelligence, ensuring that anyone making a business call has immediate access to trustworthy answers. Over the last two years, model capability has crossed a threshold enabling this shift. Agents now do in minutes what used to take a week: preparing the data, writing queries, running deep analysis and developing insights for business opportunities, designing experiments and interpreting the results, drafting the commentary that follows, and more. Our throughput is no…
by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh SelverajNetflix supports a vast and evolving set of features and content types, ranging from 4K streaming and immersive audio to live streaming and cloud gaming, across a diverse ecosystem of devices. However, not all devices are created equal. Hardware limitations such as available RAM, CPU cores, display capabilities, or platform support mean that some features cannot be supported on certain device models. To ensure the best possible user experience, we rely on a deep understanding of device capabilities. We have invested in…
Introduction As Large Language Models (LLMs) move from research prototypes to production systems, the developers of these systems need rigorous performance evaluation. In particular, we need confidence intervals around estimates of system accuracy. However, LLMs introduce a challenge that is unusual for ML systems: they are (operationally) non-deterministic. Even with the temperature set to zero, […]
Written by Atul Gupta, Analytics Manager — LUS Support Ops, LyftAt Lyft, getting operators and riders connected quickly and reliably depends on more than technology — it depends on the teams working behind the scenes to keep that technology running smoothly. For the operators managing Lyft’s fleet across markets, having fast, reliable access to support is what keeps bikes on the road, stations stocked, and issues resolved before they affect riders. Building the infrastructure that makes that support possible is what our team does; this is the story of how we built it.When I first joined Lyft…
Expedia Group Technology — DataWorkload‑aware routing for TrinoPhoto by Joseph Barrientos on UnsplashTrino — a fork of PrestoSQL — is a powerful tool in modern data analytics, enabling organizations to query large datasets quickly and efficiently. As a distributed SQL query engine, Trino provides fast, scalable insights without requiring data relocation. While Trino is robust on its own, its capabilities are further enhanced when paired with a Gateway, which introduces features such as query routing, strong security, and streamlined cluster management.A brief overviewThe Gateway project…
IntroductionIn an age where artificial intelligence (AI) and machine learning (ML) are integral to almost every aspect of our lives, ensuring the effectiveness, fairness, and reliability of ML models is paramount. Observability plays a crucial role in maintaining the performance of these models, allowing us to detect and resolve issues promptly. At Helpshift, we recognized the need for robust ML observability to keep our models running smoothly and efficiently.This blog post explores our journey in building a custom ML observability solution tailored to our specific needs. We’ll delve into…
Every accurate metric is backed by countless validations, events checks and integrity tests in the background.IntroductionQuality Assurance in the data-driven systems extends beyond UI validation and backend verification. Such systems rely heavily on data precision and accuracy.A recent QA focused on validating a productivity analytics framework, ensuring that every event, metric and data flow accurately represented real-world user behaviour. The process was primarily manual, involving live simulations, event validation and detailed metric verification across environment which emphasised…
As a data engineer, I used to see metrics as just numbers on a dashboard — until I realized they’re the lens through which customers view and run their operations. In customer support, for example, agent productivity metrics aren’t just figures, they’re actionable insights that drive efficiency, shape staffing decisions, and directly impact customer satisfaction.These aren’t just charts — they help customers understand the value we provide, how well things are working, and what decisions to make next. Realizing this changed how I think about building analytics.➡️💡The Question That Shifted…
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