Smartling VP of Product on AI’s Revolutionary Impact on Global Communication

How can AI cut costs and break language barriers? In this podcast hosted by iDonate VP of Product and Engineering Nacho Andrade, Smartling VP of Product Andrew Saxe will be speaking on AI’s revolutionary impact on global communication. Discover how cutting-edge AI is transforming translation services, reducing costs, and breaking down language barriers across industries.

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Show Notes

1. AI can reduce translation costs by up to 50% while maintaining human-level quality
2. Translation is a $50-60 billion industry with massive potential for technological innovation
3. Cloud technology was a critical enabler for translation management platforms like Smartling
4. Product managers should invest in understanding AI’s strengths and limitations
5. Curiosity and adaptability are more important in hiring than traditional credentials
6. Neural machine translation has dramatically improved translation accuracy
7. Enterprise translation requires maintaining brand terminology and style guidelines
8. AI can handle multiple aspects of translation, from initial draft to quality assessment
9. Good translation goes beyond literal word-for-word conversion, focusing on readability and context
10. Product leaders should be willing to “venture out before feeling completely comfortable”
11. Large language models are transforming how content is translated across industries
12. Validation and human oversight will remain crucial even as AI translation improves
13. Translation needs vary across sectors, from government to gaming to enterprise software
14. Understanding the entire platform is key for product managers’ career advancement
15. AI implementation requires careful, strategic approach rather than blanket application
16. Communication skills are critical for product managers to persuade and lead teams
17. Technology has made translation more accessible and cost-effective
18. Customer-centric mindset is essential in product development
19. Future of translation will likely involve AI-generated content with human validation
20. Continuous learning and openness to new technologies are crucial in product management