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

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