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WURFL and Machine Learning
Mar 1st, 2021
Explore how to use WURFL device detection to discover new correlations in data, and ultimately leverage Machine Learning (ML) techniques to create regression models and classifiers. This allows organizations to make predictions about user behavior based on WURFL device detection data.
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Apple iPhone 11 Versus 12 Launch Comparison
Feb 23rd, 2021
In our 2020 Q4 Mobile Overview Report (MOVR), we focused on specific growth between the launch of Apple iPhone 11 compared to the launch of the Apple iPhone 12.
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Integrating WURFL Microservice with Spark Streaming
Sep 14th, 2020
This article builds on the assumption that the reader is familiar with Apache Spark and the world of analyzing large amounts of data in parallel. Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. In this post we look at integration of Spark with WURFL for device detection through User-Agent analysis.
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ScientiaMobile’s WURFL Microservice Now Available in the Microsoft Azure Marketplace
Jun 1st, 2020
Microsoft Azure customers worldwide now gain access to WURFL Microservice to take advantage of the scalability, reliability and agility of Azure to drive application development and shape business strategies.
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ScientiaMobile and HAProxy Enterprise
Mar 13th, 2020
ScientiaMobile develops device detection technology that enables websites to deliver rich, adaptive user experiences. ScientiaMobile provides accurate identification of old and new devices thanks to WURFL, its 65,000 device profiles strong catalog, and thanks to its WURFL Infuze API. WURFL covers smartphones, tablets, laptops, smart TVs, and game consoles. The WURFL InFuze module for HAProxy Enterprise augments the load balancing function with device intelligence, enabling all applications downstream to access device information without maintaining their own Device Description API.
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User-Agent, Client-Hints and the Future of Device Detection
Feb 21st, 2020
W3C and Google are pushing to freeze and deprecate the User-Agent string. If it happens, there will be other mechanisms like Client Hints to provide device capabilities for the purposes of better UX, analytics and bug fixing. Using WURFL is your best bet to be on top of the evolution in this space.
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Detect iPadOS 13
Dec 4th, 2019
Starting in 2019, the iPhone and iPod touch run on iOS, while the iPad runs a different OS called iPadOS. WURFL.js device detection distinguishes between individual Apple iPad and iPhone device models.
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Keeping Smartphones Smart
Feb 28th, 2018
At ScientiaMobile, we take pride in having the highest quality device detection solution available which is why we are constantly keeping pace with the changing mobile landscape (so you don’t have to). [Check out our Mobile Overview Report for up-to-date mobile analytics]. More than four
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Enterprises Can Simplify Device Detection Deployment and Scaling with WURFL Microservice for Docker
Feb 1st, 2018
RESTON, Va., Feb. 1, 2018 (GLOBE NEWSWIRE) — ScientiaMobile launches WURFL Microservice for Docker to support enterprises that deploy device detection services using Docker containers. These enterprises can easily integrate WURFL into their microservice architecture and seamlessly deploy to servers using Docker’s container framework.
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ScientiaMobile Adds Golang Module to WURFL Device Detection
Mar 30th, 2017
RESTON, Va., March 30, 2017 — ScientiaMobile has released a new module of its WURFL InFuze device detection solution for the next-generation language Golang. Building on Golang’s strength as a compiled language for concurrent transactions and scalability, WURFL InFuze provides developers with easy integration of mobile device intelligence for their server-side applications.
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