Past Webinar
Found this useful? remind me

Anais Dotis-Georgiou - Time-Series Databases for AI: Enabling Trend Analysis, Anomaly Detection, and Accurate Predictions

Technology > AI (Artificial Intelligence)5/30/2024 4:00 PM

Go to Registration Page

Description

Topic: Time-Series Databases for AI: Enabling Trend Analysis, Anomaly Detection, and Accurate Predictions

Speaker: Anais Dotis-Georgiou, Developer Advocate at InfluxData

Abstract: Real-world AI applications require time-series data to transform raw data into valuable intelligence. Time-series data, recorded chronologically, enables trend analysis, anomaly detection, and accurate predictions. This session will consider why it’s essential to look at a time series database when working with ML and AI, how they differ from other databases, and factors such as scalability, data ingestion and storage capabilities, advanced analytics support, and integration capabilities.

We will also share real-life use cases of companies using the InfluxDB time series database in their production-ready environments to support predictive analytics and automation.

Join ODSC Europe 2024 - The Leading AI and Data Science Training Conference this September - https://hubs.li/Q02sx0fQ0 Use Community2024-EU code for an extra discount

Comments

Rate This Webinar

community rating (0 votes): 
Rate or Review This Webinar

Publisher

Open Data Science

Open Data Science

Open Data Science is a news source providing the latest information on Data Science and AI. They cover topics such as Modeling, Data Analytics, Data Engineering, Data Visualization, Deep Learning, Generative AI, Machine Learning, NLP and LLMs, and Python. They also provide business and use case insights, career advice, and a platform for community engagement through their Slack channel, meetups, and webinars. Stay updated with Open Data Science for all your data science and AI needs.
Claim Publisher