Data Centric AI

Foundational Components for Trusted AI

• Automate the integration and deployment of code, ensuring quality and operational efficiency.
• Standardized Development Environments: Establish consistent, easily replicable environments to accelerate development and experimentation.
• Data & Experiment Versioning: Implement robust systems to track changes in data and experiments, allowing for traceability and repeatability.
• Model Lifecycle Management: Streamline the training, deployment, monitoring, and updating of machine learning models.
• Flexibility Across Layers: Design the architecture to allow for different levels of customization, from high-level APIs to low-level controls, facilitating adaptability.

DVC and Data Centric AI?

Data-centric AI is an emerging concept that emphasizes the importance of data quality and data engineering in building AI systems. Data-centric AI aims to improve the performance and robustness of AI models by systematically characterizing, evaluating, and monitoring the underlying data used to train and evaluate them⁴. Data-centric AI also involves using data-driven methods and tools to inform the considerations at each stage of the ML pipeline⁴.

One of the tools that can help with data-centric AI is Data Version Control (DVC), which is a system for versioning machine learning models, data sets, and intermediate files. DVC connects them with code, and uses various storage options to store file contents³. DVC allows users to track and reproduce the experiments, share data and models, and collaborate effectively on AI projects³.

If you want to learn more about data-centric AI, you can check out some of the web search results I found for you. For example, you can read a survey paper that discusses the necessity, goals, methods, challenges, and benchmarks of data-centric AI¹. You can also watch a video lecture by Andrew Ng, who popularized the term data-centric AI⁶. Or you can explore a website that provides a checklist and resources for applying data-centric AI in practice⁴. I hope this helps you understand what data-centric AI is and how DVC can be useful for it. 😊

Source: Conversation with Bing, 9/14/2023

1. What is Data-Centric AI? - van der Schaar Lab..

2. Data Version Control · DVC..

3. [2303.10158] Data-centric Artificial Intelligence: A Survey - arXiv.org..

4. The Principles of Data-Centric AI (DCAI) - arXiv.org..

5. What is Data-Centric Architecture in AI? | Simplilearn..