Your AI has 99 problems: Why high-quality data is the key to production-grade AI systems
The Data Phoenix team invites you to our upcoming webinar, which will take place on July 11 at 10 a.m. PDT.
Topic: Your AI has 99 problems: Why high-quality data is the key to production-grade AI systems
Speakers: Emmanuel Turlay (Founder/CEO of Airtrain AI (YC S22))
Participation: free (but you’ll be required to register)
In AI like in Machine Learning, data is the crux of most problems. Whether you are developing GenAI apps, building AI agents, curating an evaluation set for your RAG pipeline, creating a training set to fine-tune an LLM, or trying to understand how your product is performing, you must become one with your data. In this talk, Airtrain Founder/CEO Emmanuel Turlay will discuss the importance of high-quality data for AI/ML data workflows, why and when you should use a data-first approach when choosing AI tooling, what real-life business and academic use cases benefit, and how Airtrain AI can improve and maintain data quality.
Key Highlights of the Webinar:
Introduction: The vision of AI/ML data workflows of the future
Defining everyone’s problem: Poor quality data
Why and when you should use data-first AI/ML tooling
Real-world AI data use cases and scenarios
Short Airtrain AI demo
Speaker
Emmanuel Turlay is the Founder/CEO of Airtrain AI (YC S22). Emmanuel has worked on ML pipelines since 2017 at Instacart and Cruise. With Airtrain, Emmanuel aims to democratize the kind of powerful tools that large tech companies use every day to achieve impactful results in ML and AI. He holds a PhD in Physics from Paris-Sud University. Follow Emmanuel on Twitter and on LinkedIn.
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