Thread by @NewOrleansVC

Open sourcing @RevelryVC's AI Data Strategy DD Checklist.

1/ Data is the fuel for building AI so we're sharing our "AI Data Strategy" DD Checklist to gather feedback and insights to improve our evaluation process and provide value to other investors and founders. #AllInAI

2/ We've identified 7 key areas to focus on when evaluating a startup's data strategy. These areas are critical to ensure that the AI system is effective and that the company's approach aligns with its overall goals.

Here are the 7 areas of our DD process:

3/ Data Acquisition: The process of collecting, sourcing, and obtaining relevant data. A strong data acquisition strategy ensures a diverse and reliable dataset that accurately represents the target use case and can be a critical moat over time.

4/ Data Preparation & Preprocessing: Involves cleaning, transforming, and organizing raw data into a format that can be easily used by AI models. A robust preprocessing pipeline enhances data quality, leading to better model performance.

5/ Data Labeling: The process of annotating data with relevant labels or tags. High-quality labeling ensures that AI models can learn effectively from the input data, resulting in more accurate predictions.

6/ Data Storage & Management: The infrastructure and practices related to securely storing, managing, and maintaining data. Effective data management helps ensure compliance with regulations, data protection, and traceability.

7/ Data Augmentation: Techniques that increase the size and diversity of datasets by creating new, modified instances of existing data. Proper augmentation can lead to improved model performance and generalization.

8/ Data Privacy: Measures taken to protect sensitive information and ensure compliance with relevant privacy regulations. Strong privacy practices help build user trust and mitigate potential legal risks.

9/ Tradeoffs & Overall Strategy: The balance between various data strategy components and their alignment with the startup's business goals and market needs. A flexible and adaptable strategy can accommodate changes in the market or technology landscape.

10/ Here's a link to our checklist. Looking forward to getting feedback and refining this over time.

docs.google.com/spreadsheets/d…