John Talburt

Abstract Parkinson’s disease (PD) is the second-most diagnosed age-related neurodegenerative disorder globally. PD pathology causes dysregulation of motor movement and for many, mild cognitive impairment (PD-MCI). The most recommended global screening exam to detect PD-MCI is the Montreal Cognitive Assessment© (MoCA).

Data Speaks for Itself is a TDAN column published every quarter. In an earlier post, I talked about how high-quality data is necessary for creating quality language models (LMs), but in turn, LMs have the potential to help improve data quality. Data quality and AI can form a virtuous cycle: DQ helps AI, and AI helps DQ. With the development of agentic AI, the cycle can be even stronger. The reason is that agentic AI is becoming a game changer.

I’m sure that you know an interesting story about dating. Finding that right person is not easy and the journey often includes many missteps along the way. As interesting as such stories might be, it is not the dating I want to talk about in this issue. If you are reading this article, then I am assuming you are a data person with some data responsibilities or accountabilities. Having worked with data for many years, I find that almost all data people share some common sentiments.