

It's time to talk time series
Oct 28, 2019
Anais Dotis-Georgiou, an expert at InfluxData, dives into the fascinating world of time series data. She explains its omnipresence, from stock prices to server logs and even photos on our phones. Anais shares valuable insights on the effectiveness of traditional statistical methods versus neural networks for time series analysis. The conversation also highlights practical applications, including anomaly detection and data querying techniques using InfluxDB, making complex topics accessible for data enthusiasts.
AI Snips
Chapters
Transcript
Episode notes
Biotech to Data Science
- Anais Dotis-Georgiou worked with a liquid handling robot in biotech.
- She transitioned to data science for more human interaction.
Time Series Universality
- Time series data, with its associated timestamps, is nearly ubiquitous.
- It's valuable in various fields, from finance and weather to healthcare and industrial IoT.
CERN and InfluxDB
- Anais finds CERN's use of InfluxDB to monitor particle accelerators fascinating.
- CERN used Influx to help find the Higgs boson particle.