Blog
Agile and Scrum: What do these terms really mean?
In this article we discuss the meaning of the terms Agile and Scrum in continuous software development and localization.
The Robot Spoke: How Machines Got the Hang of It (Part 2) — An article by Dr. Patrice Caire
The field of Artificial Intelligence encompasses all possible approaches to simulating intelligence. Machine learning, one branch of AI, uses data and experience to train algorithms automatically. Deep learning, a sub-field of machine learning, in turn uses algorithms (called neural networks) to simulate the learning process.
In-Country Review (ICR) with a TMS: A Strategy for LSPs
If I were to ask, “Do LSPs play a role in in-country review?” you would probably reply with another question, “Why are you asking this?” Translation buyers that choose an in-country review usually have local offices branches or representatives in specific countries to whom they can entrust this task. And these buyers are typically large organizations. So, how can LSPs contribute to an efficient in-country review?
The robot spoke, but what did it say? (Part 1) – An article by Dr. Patrice Caire
This is the first of the 3-part series “The Robot Spoke” by Dr. Patrice Caire, AI & Social Robotics Consulting Scientist. The Robot Spoke: But What
5 Ways To Manage Translation Quality
As an LSP or a manager of an in-house localization department, how will you translate this “secret” into everyday practice? In this article, we summarize 5 strategies to help you keep up with the basic principles of quality management and hit the ground running toward high performance.
Data Centralization in a Translation Management System
After analyzing the advantages of moving your translation business to the cloud and offering a general roadmap to implement a cloud platform, now we want to discuss the importance of centralizing and organizing data in a cloud-based translation management system.
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