Time Series Data
topic on 3 shows · 6 statements across 4 episodes
Latent Space 
the MAD Podcast 
the a16z Podcast
6 statements about Time Series Data, every show
Agarwal: LLMs are really bad at processing time series data
“Because most of the data you're looking at is like time series data. And these LLMs are really bad at processing time series data, right? And that's really where like good statistics comes in.”
Flux turns InfluxDB into a serverless execution platform for time series
“It essentially turns the database into a serverless execution platform for time series data. The idea is you can define any sort of custom logic that you want, inject it into the database, and it will periodically run that logic over the data that you're writi…”
Kulkarni: Web eventing and machine learning inferences are time-series data
“Web and mobile eventing data, again, is, is time series data, and even machine learning inferences are a source of time series data.”
Ajay Kulkarni: All data is fundamentally time-series data
“It's actually because we believe that all data is fundamentally time series data.”
Ajay Kulkarni: Non-time-series data storage discards valuable state information
“And in fact, I would argue that not storing your data as time series is throwing away valuable information, because then you're losing how your data changed in the past, how it would be changing today, and how it might change in the future.”
Machine Learning Tools Have Neglected Time Series Data
“Now you're getting into some interesting, ah, places where machine learning hasn't spent a lot of time, which is on time series data. And what we wound up realizing in our own, sort of, domain specific research is that there weren't a lot of tools for us from …”