Golf Course Wayfinding: Utilizing geospatial data for green space evaluation

Room
Time
Theme
Difficulty
Congress Hall
Room H1+H2
Room G3
To be released
14:35
To be released
Geo-AI
To be released
D1

This case concerns the development of an end-to-end geospatial pipeline that integrates curated spatial attributes with Husqvarna’s internal data to produce a coherent view of golf course environments. Developed in collaboration with Knowit Solutions, the pipeline establishes the technical foundation for geospatial analytics that drive business insights. Structured spatial indexing and robust metadata contribute to an annotated dataset that supports computer vision workflows in validating patterns and enriching geospatial analytics.

Husqvarna is further advancing its data-driven approach by using geospatial analytics to generate deeper insights into green spaces and understand regional variation. This evolving technical foundation is strengthening Husqvarna’s ability to combine visual and spatial information for more precise green space evaluation and identification, enabling more focused and informed decision-making across the organization.

Speakers

Christos Marinos

Data Engineer
Knowit Solutions CoCreate
Christos Marinos

Bio

Christos Marinos is a Data Engineer specializing in designing and building scalable, robust data platforms that enable analytics, AI, and machine learning products. He focuses on data extraction, transformation, and modeling, delivering reliable pipelines that support end-to-end AI and ML workflows. He is dedicated to creating data products that generate business value, working closely with stakeholders to align technical solutions with real needs. With a strong emphasis on data governance, scalability, and operational robustness, he builds maintainable platforms that support long-term, value-driven decision-making.

Vivek Chaurasia

Data Scientist
Husqvarna Group
Vivek Chaurasia

Bio

Vivek Chaurasia is a full‑stack data scientist with a PhD in Computational Physics and extensive experience delivering AI solutions that drive measurable business value. Specializing in machine learning, computer vision, and large‑scale data engineering, Vivek has led end‑to‑end development of forecasting, segmentation, and prescriptive analytics systems used across global operations. Vivek builds scalable ML pipelines, strengthens data quality and governance, and translates complex analytics into actionable insights for commercial and technical stakeholders. With a strong track record of accelerating AI adoption, mentoring teammates, and shaping strategic data initiatives, Vivek consistently turns advanced analytics into tangible operational and financial impact.

Recording