

AI in the US State and Federal Governments with the hosts of the AI Today Podcast
Jul 28, 2021
In this engaging conversation, Kathleen Walch and Ron Schmelzer, co-hosts of the AI Today podcast and analysts at Cognilytica, delve into the complexities of AI in government. They discuss significant obstacles to federal AI adoption and spotlight experts like Justin Marsico on data governance. The duo also highlights the AI Center of Excellence's role and shares insights about data initiatives in states like California and North Dakota, revealing the crucial impact of chief data officers in enhancing government operations.
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Methodology for AI Projects
- Push vendors to adopt a data and AI-centric methodology like CPMAI.
- This ensures successful projects by addressing data governance, security, and ownership.
AI Project Failures
- Many AI projects fail due to neglecting data quality and preparation.
- Crisp-DM addresses this by emphasizing a logical, data-centric process.
NLP for Injury Classification
- Alex Measure at the Bureau of Labor Statistics built an NLP model for classifying workplace injuries.
- This model, initially using PyTorch and later TensorFlow, improved efficiency and is now used at the VA.