Earlier this year, India surpassed China as the world's most populous country with 1.4 billion people spread across 28 states, each with its own regional languages and variations. India also achieved the second-fastest economic growth globally, ranking among the top 5 economies. For global organizations, India is a crucial market, but they face challenges in expanding due to language barriers. Many Indians speak English, but business efficiency requires local languages, and regulations may demand it in some sectors. This leads to the need for content localization and translation in India, which is complex due to numerous languages, reliability issues, and subpar quality standards.

In this session, I'll discuss how enterprises and global Language Service Providers (LSPs) can overcome these challenges. I'll use case studies to explore

(1) Do’s and don’t for localizing content and doing business in India

(2) How to leverage processes, mechanisms and incentives to meet TAT and quality expectations from linguists in an unstructured market like India

(3) Role of AI for Indian languages touching upon where its applicable and where its not

Host organization: Globalization and Localization Association