Scaling AI: Strategies and Challenges

I sat down with DeepL cofounder Jarek Kutylowski. DeepL is a comprehensive Language AI platform that enables organizations to communicate effectively across languages, cultures, and markets. Jarek shared a treasure trove of insights on the past, present, and future of AI translation. Here were some standout moments:

[0:00] Intro
[0:38] The Rise of AI and DeepL's Journey
[1:41] DeepL's Competitive Edge and Market Impact
[2:41] Innovations in AI Translation
[4:39] DeepL's Product and Use Cases
[7:35] Challenges and Strategies in AI Translation
[14:29] Human Translators and Data Labeling
[24:39] Building and Scaling AI Infrastructure
[32:52] Evaluating AI Models: Objective vs Subjective
[34:05] Translation Quality Metrics
[35:35] The Debate on AI Moats and Specialized Models
[40:16] The Impact of Real-Time Translation on Business
[45:05] Challenges in Developing Synchronous Speaking Models
[46:49] Adjacent AI Technologies and Their Potential
[48:33] Quickfire

With your co-hosts: 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@jordan_segall 

- Partner at Redpoint