Agile Localization
Agile Localization
Podcast Description
Welcome to The Agile Localization Podcast by Crowdin, the go-to resource for professionals managing multilingual content in fast-paced tech environments. In each episode, we dive deep into localization strategies, cutting-edge solutions, and real-world case studies.
Whether you're a Localization Manager, Product Manager, or simply navigating the complexities of managing ever-evolving digital products, you'll find practical insights and actionable strategies to streamline your workflows and keep your content agile.
The Agile Localization Podcast is brought to you by Crowdin, an AI-powered localization software tool. Request a free demo at crowdin.com/demo-request
Podcast Insights
Content Themes
The podcast focuses on various themes related to localization in tech environments, covering topics such as continuous localization, workflow optimization through automation, and the evolving role of AI in localization tools. Specific episodes delve into case studies from companies like Pipedrive and LangOps Institute, discussing the management of multilingual content and the integration of knowledge graphs in translation processes.
Welcome to The Agile Localization Podcast by Crowdin, the go-to resource for professionals managing multilingual content in fast-paced tech environments. In each episode, we dive deep into localization strategies, cutting-edge solutions, and real-world case studies.
Whether you’re a Localization Manager, Product Manager, or simply navigating the complexities of managing ever-evolving digital products, you’ll find practical insights and actionable strategies to streamline your workflows and keep your content agile.
The Agile Localization Podcast is brought to you by Crowdin, an AI-powered localization software tool. Request a free demo at crowdin.com/demo-request
Talk to an expert: https://l.crowdin.com/kvw6vfi
Try Crowdin: https://l.crowdin.com/jFw6RJe
- How GenAI and LLMs are revolutionizing translation workflows
- Why quality management needs to shift from rule-based systems to context-aware AI solutions
- How to balance human expertise with AI automation in localization workflows
- The importance of focusing on outcome-based objectives rather than traditional quality metrics
- Why engineering capabilities are becoming crucial for implementing AI solutions effectively
- How Crowdin’s approach to AI integration enables personalized localization experiences
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
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