Decoding Metadata in AI

Cody Coleman is the cofounder and CEO of Coactive AI, a multimodal AI platform to accelerate metadata generation. They recently raised their $30M Series B co-led by Cherryrock Capital and Emerson Collective along with participation from Greycroft, Andreessen Horowitz, and Bessemer Venture Partners. He has a masters degree from MIT and a PhD from Stanford. Cody"s favorite books: - The Inner Game of Tennis (Author: W. Timonthy Gallwey) - Gettine More (Author: Stuart Diamond) (00:01) Introduction: Setting the Stage for Metadata (00:21) What is Metadata? Structure in Unstructured Data (01:37) Metadata in Real-World Visual Data Analysis (03:01) Automating Metadata Generation: Challenges and Approaches (06:57) Introduction to Multimodal AI: What and Why (11:25) Managing Trade-Offs in Multimodal AI Systems (13:31) Labeling Challenges in Multimodal Datasets (16:23) Characteristics of an Ideal Metadata Language (18:22) Linking Metadata Quality to Model Effectiveness (20:56) Measuring Efficiency of Metadata Extraction Engines (22:55) Role of Synthetic Data in Metadata and AI (25:30) Evolution of Data Labeling and Future of Metadata (27:27) Exciting Technological Advancements in AI (29:29) Rapid Fire Round -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com  Website: https://prateekj.com  LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19  Twitter: https://twitter.com/prateekvjoshi