Cover Image for Time Series to Vectors: Leveraging InfluxDB and Milvus for Similarity Search

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meetups for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.

This meetup is sponsored by Zilliz.

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Time Series to Vectors: Leveraging InfluxDB and Milvus for Similarity Search

Unstructured Data Meetup

Zoom

Past Event

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About Event

What will you learn?

In this webinar, we’ll explain the powerful combination of time series data and vector similarity search to revolutionize urban traffic management. Learn how to transform raw sensor data from InfluxDB into meaningful vectors, enabling advanced pattern recognition and anomaly detection using Milvus, a high-performance vector database.

Through a practical use case of real-time traffic monitoring, we'll demonstrate how this innovative approach can swiftly identify and categorize traffic anomalies, from accidents to construction zones. This webinar is essential for data scientists, traffic engineers, and urban planners looking to harness the full potential of their time series data for complex, real-world applications.

Topics covered:

Fundamentals of time series vectorization: Converting InfluxDB data for vector database use
Integrating InfluxDB and Milvus for a comprehensive traffic monitoring solution
Implementing similarity search in Milvus to classify traffic anomalies
Best practices for real-time data processing and anomaly detection

Speaker: Anais Dotis-Georgiou, Lead Developer Advocate at InfluxDB