How can new forms of data and information be harnessed to adapt assumptions and models of mass mobility in the post pandemic era?From their UK wide geographically enhanced mobile network data, BT Active Intelligence have built up a granular picture of the daily mobility patterns of the UK population not only spatially and temporally, but also of demographic groups. Utilising this data output in UK wide H3 hexes, the Carto Moran's I functionality allows the analysis of how the relative levels of clustering of the population as a whole change over the course of a day and week, and then, to what degree gender and age groups relate differ from the aggregate level.These differences will be analysed and mapped over the course of a typical week, and tested for regional differences.

Over the past four years, the Land & Carbon Lab has been working to advance global-scale monitoring of nature using geospatial AI. This talk shares a behind-the-scenes look at what it’s taken to build tools that aim to track ecosystems, tree cover, and land-use change in near real-time—from the technical milestones to the more personal moments of doubt, discovery, and quiet progress.Along the way, you’ll hear stories of mapping the height of trees across the planet, uncovering lesser-known ecosystems, and wrestling with how to turn vast streams of complex data into something accessible and meaningful. This isn’t just a talk about technology—it’s a reflection on the emotional landscape of trying to build something useful, at scale, for the planet.

With the increasing return to the office, understanding the value of workers is important to a lot of businesses.  Whether catering for the morning caffeine hit, grabbing a bite at lunch or a post-work drink, understanding how many workers are present and who those consumers are is key to understanding potential and ensuring you are set up to realise it. With the 2021 census being conducted in lockdown we've had to take a different approach to understand the nature of workers.  How have we approached it and how can that be used to unlock opportunities?

Join this session to learn how VIOOH,  a specialist in programmatic digital out of home advertising, is harnessing the power of geospatial analytics to ensure the right audience is viewing their campaigns across +70,000 digital panels around the world. Powered by the Snowflake AI Data Cloud and CARTO, VIOOH uses data and intuitive visualizations to enhance media planning and optimize ad placements. In this breakout session, VIOOH will showcase their geospatial dashboards, demonstrating how they visualise critical location data to refine targeting strategies, automate campaign creation, and improve data accessibility for non-specialists. Learn how they utilise Overture Maps to unlock new targeting capabilities and increase ROI in the digital out-of-home advertising space

The convergence of cloud computing, spatial data science, and artificial intelligence is revolutionizing how organizations understand and interact with location-based information. This presentation explores AWS's comprehensive ecosystem of geospatial services, demonstrating how they seamlessly integrate to support the complete lifecycle of spatial data - from satellite downlink through to AI-powered insights. We'll navigate through AWS's end-to-end solution stack, beginning with data acquisition via AWS Ground Station and Earth on AWS, through storage and processing with S3 and Aurora PostGIS, to advanced analytics with Redshift and CARTO integration. Special attention will be given to emerging capabilities in AI and ML, including how Amazon SageMaker, Bedrock, and Amazon Q are transforming spatial computing. To illustrate these capabilities in action, we'll examine an innovative use case from Zephr, a venture-backed start-up that's pioneering the integration of geographic positioning with generative AI. Their solution demonstrates how AWS's services can be combined to create next-generation location-aware applications that bridge the gap between physical places and artificial intelligence. This session will provide valuable insights for organizations looking to leverage AWS's geospatial capabilities, whether they're working with satellite imagery, developing location-based services, or exploring the frontier of spatial AI. Attendees will gain a clear understanding of how AWS's geospatial services can be utilized to build scalable, sophisticated solutions that address real-world challenges in spatial data science.

I’ll share the journey from a traditional Location Analyst role—primarily using Excel, PowerPoint, and legacy GIS tools—to a Full-Stack Spatial Data Scientist approach that incorporates a cloud-native geospatial stack (QGIS, Snowflake, CARTO). Beyond simply replacing tools, this journey has transformed TJX's way of working with geospatial data, allowing end-to-end ownership of projects, reproducible and scalable workflows, and a single source of truth for data in the cloud. By bridging site selection with customer analytics, we’re now able to deliver deeper, more reliable insights that scale with the needs of the business.In this talk, I’ll dive into the challenges of this transformation, from gaining stakeholder buy-in to reshaping collaboration patterns across departments. I’ll highlight why a full-stack mindset—encompassing everything from data ingestion and analysis to visualisation—brings significant benefits in efficiency, consistency, and speed. By sharing real-world examples and lessons learned, I hope to illustrate how embracing a modern geospatial workflow isn’t just about updating technology, but about creating a more agile, data-driven organisation that’s prepared to tackle the evolving demands of retail analytics.

Every year there are an estimated 1 million road traffic accidents around the world, resulting in detrimental societal and economic impacts globally. In response, municipal authorities like Liverpool City Region are committing to 'Vision Zero' in an aim to reduce the number of fatal or serious road traffic accidents to 0 by 2040. A key step to achieving this goal is to invest and implement new pedestrian infrastructure and crossings which dramatically reduce the risks facing pedestrians as they interact with the urban realm, however the supporting data and intelligence for such decisions is notably evident. In this talk, we introduce a recent collaborative project between the Geographic Data Service, University of Liverpool and Liverpool City Region Combined Authority, where spatial data and a bespoke optimisation model were used to identify optimal locations for new pedestrian crossings in the region. We showcase how a simple, computational model is able to balance a number of important trade-offs related to spatial context, urban amenities, collision rates and population characteristics. We also introduce our model of engagement with policymakers, which is built on the key principle of "simpler is often better" and has significant implications for how we visualise and use spatial data to improve pedestrian safety, and in policy settings more generally.