Sponsored Webinar + Live Q&A
Open-Source Technologies and Strategies for Time Series Analysis
From IoT devices, predictive maintenance in manufacturing, network reliability in telecom to fintech data forecasting, more and more companies are now relying on the collection and analysis of time series data to improve the performance of their applications and customer services and to stand out from the competition.
In this session, we will go over why a time series platform, rather than a relational database, should be used for AI and ML. We will also share open-source data analytics and ML libraries for time series so you can start analyzing, forecasting and detecting anomalies right after the session.
Speaker
Anais Dotis - Georgiou
Developer Advocate @InfluxData
Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of...
Read moreSession Sponsored By
InfluxData, creator of the open source time series database InfluxDB, empowers developers and organizations to build transformative monitoring, analytics and IoT applications quicker and to scale. Our purpose-built platform handles the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers and computers.
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