Join us for the next EMERALDS webinar, where we will explore advancements in geospatial analytics and machine learning operations (MLOps) tailored for extreme-scale datasets. This session will introduce the tools and methodologies designed to enhance geospatial data processing, support ML model deployment, and optimise large-scale data pipelines.
What to expect:
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Scalable Geospatial Analytics with CARTO
Discover the latest developments in CARTO’s Analytics Toolbox (AT), including enhancements for trajectory data processing and space-time anomaly detection. Learn how integrations with PyMEOS (MobilityDB) and MovingPandas improve trajectory analysis in BigQuery, enabling more efficient geospatial workflows. We will also present new functionalities such as time-series clustering, space-time Getis-Ord classification, and scan statistics-based anomaly detection, which can significantly improve decision-making in mobility, urban planning, and logistics. -
MLOps Platform for EMERALDS ML Engineers
Explore the design and implementation of a dedicated MLOps platform, built with specialised mobility libraries and tools. This platform is tailored to support ML engineers in the EMERALDS project, helping them streamline the development and deployment of machine learning models for real-world applications. -
EMERALDS Reference Architecture & Hosting Services
Gain insights into the EMERALDS toolset reference architecture, which provides a structured approach for designing efficient data pipelines that can handle extreme-scale datasets. We will also introduce the EMERALDS hosting services, detailing the containerization of EMERALDS tools and services for scalable deployment.
Agenda & Speakers: 
11:30 - 11:35 Welcome and Introduction
11:35 - 11:45 Project Overview and Status of the art
- Yannis Theodoridis & Konstantinos Dafloukas
11:45 - 12:05 Scalable Geospatial Analytics with CARTO - Deployment of Services and Dashboards
- Giulia Carella - CARTO
12:05 - 12:25 MAIaaS platform for EMERALDS Use Cases Implementation
- Ignacio Elicegui & Andrés Cardoso - ATOS EVIDEN
12:25 - 12:45 Reference Architecture and Hosting Services
- George Tsakiris - KONNECTA
12:45 - 13:00 Panel Discussion - Q&A Discussion
- All the speakers
This webinar is intended for professionals and researchers working in geospatial analysis, ML engineering, and large-scale data processing, offering practical insights into data analysis, model deployment, and infrastructure management.