Andy Bell is Senior Vice President of Global Data Product Management at Precisely, responsible for the global data portfolio. Andy has accumulated a wealth of experience over 30 years in data and analytics, leading teams involved in product development, data science and analytics and GIS. He has previously worked for GlaxoSmithKline and CallCredit instigating a number of innovative data developments as well as new ways of applying data and insight to new market problems. Andy is currently driving the data strategy at Precisely, identifying and developing new and innovative data products.

As the Data Science Team Lead of the Gesopatial data team for Geotab, Jorge Gonzalez brings eight years of expertise in vehicle data analytics. With a foundation as a Telecommunications Engineer and a Masters in Science in Artificial Intelligence, Jorge is adept at navigating the complexities of data quality and scarcity issues and helping clients interpret vast volumes of data effectively. With Geotab data, Jorge collaborated in safety analytics, GPS and cell coverage, engine status data availability and vehicle electrification among others.

Daniel is an experienced data scientist with a master's in signal theory (telecommunications). He accounts for 10 years of professional experience in different IT fields, working on companies ranging from impactful seed-phase startups like Ketekelo to global companies like BASF, and now as part of the Geospatial team at Geotab. Daniel's main focus at Geotab is Geospatial ML modeling, but he also takes care of the whole product lifecycle of a good portion of Geotab's geospatial product backbone.

Rami Alouta is a Senior Solutions Engineer at Esri, based in the Rotterdam office, with a strong focus on advancing AI in the geospatial industry. Specializing in both Generative AI (GenAI) and GeoAI, Rami leverages cutting-edge technologies to deliver innovative solutions across diverse sectors, including Mapping Agencies, United Nations Non-Profit Organizations, and the humanitarian community.

With extensive experience in Python development and ArcGIS Enterprise, Rami excels in designing, configuring, and deploying scalable geospatial systems. His expertise includes automation workflows, ArcGIS Python libraries, and building well-architected solutions that drive efficiency and value for clients. Recognized as a Subject Matter Expert (SME), Rami is known for his ability to bridge the gap between AI innovation and practical geospatial applications.Rami holds a degree in Landscape Architecture from the American University of Beirut, which provides him with a unique perspective on the intersection of technology, design, and the environment.

Dr. Rodney Borrego Acevedo is a remote sensing specialist with fifteen years of experience in coral reef habitat and terrestrial mapping. He holds a PhD in Mapping Science from The University of Queensland, where he currently serves as a Research Fellow at the Earth Observation Research Centre. His current work focuses on mapping mid-shelf and offshore reefs in the Great Barrier Reef, Australia.

Rodney has held key scientific and technical roles in both academia and government, including with the Allen Coral Atlas and the Queensland Department of Environment and Science, contributing to large-scale habitat and land use mapping initiatives. His expertise spans reef geomorphology, satellite remote sensing, and ecosystem monitoring, supported by field and spatial data analysis.

Originally trained as a biologist, Rodney has worked across the Caribbean, South America, and Australia, blending research with applied conservation. His work has directly supported marine park management, sustainable tourism, and fisheries policy. He remains committed to advancing environmental stewardship through data-driven science.

Peter Baumann, a distinguished figure in the field of Computer Science, is a Professor at Jacobs University Bremen and the visionary CEO & founder of rasdaman GmbH, based in Bremen. Renowned for pioneering Array Databases, his contributions span data models, query languages, storage optimization, and applications in diverse fields such as earth, space, and life sciences. Actively involved in standardization efforts for spatio-temporal geo services (OGC, INSPIRE, ISO) and Array SQL (ISO), Dr. Baumann's career balances scientific innovation with practical industrial applications. As the principal architect of the APRIL object-oriented database system during his PhD at Technical University Darmstadt, he laid the foundation for his groundbreaking work in large, multi-dimensional raster datasets and the development of rasdaman, the world's first operational Array Database System. Dr. Baumann's achievements extend to patenting his concepts globally and leading influential working groups in OGC, showcasing his commitment to advancing the field.