The Advertising industry has been using cookies for over 20 years to track and profile consumers on the internet. With 3rd party cookies going away, marketers need an alternative to continue to provide targeted messaging. Geospatial targeting is a strong alternative to cookie-based targeting – it allows brands to learn consumer behavior and reach audiences in a relevant, yet privacy-compliant manner.

At Choreograph, we have been building a geospatial targeting tool that combines geo-spatial datasets spanning from demographic, consumption, behavioral and point of interest data and identifies areas with high demand and/or propensity. Georgios will talk through challenges of bringing datasets at different geospatial resolutions into a uniform framework, identifying and analyzing high-demand H3 tiles.

Priyanka Sharma explains how the Geospatial team at Booking.com is leveraging Location Intelligence, a cutting edge technology that goes beyond maps and guides to provide personalised recommendations, redefining how we experience the world.

Join experts across academia & industry to hear their thoughts on careers and skills in Spatial Data Science. What makes hiring in this industry such a challenge? Is there a skills gap, and what can we do to change this? Hear all this and more, and make sure to bring along your most burning questions!

Cutting costs and emissions using a tailor-made geospatial algorithm that uses machine learning to optimise inspections - a crucial part of managing distributed assets. Optimising the problem in both space and time to cut the cost of changing schedule down to virtually nothing.

Get an inside look at how a large European retailer solved the mystery of why some stores outperformed others. By combining in-store data with location-based insights such as city center traffic or neighborhood trends, the retailer was able to solve an all-too-common struggle about the complexity of what drives store performance.

Join us for a thought-provoking session to discover how mobility data can be used to solve the most perplexing and complex business insights conundrums.

Over time, seemingly unimportant daily activities, such as walking to work, can have profound impacts on outcomes such as health. Health outcomes are the result of complex interactions between multiple factors, but if the built environment makes it impossible to be active every day, positive outcomes are less likely.

Space Syntax combines and analyses the inter-relationships between built environment systems to understand, from the point of a person, how the hidden structures these create relate to emergent activities and outcomes in cities.

As the out of home advertising landscape evolves, so does the scope of this answer. OOH media companies must consider the challenges of ensuring only real, valid places meet the refined definition to enable advertisers with better campaign planning insights.

Bryan from SafeGraph and Aaron Martin from Clear Channel Europe talk through some heuristics used over the years - both good and bad - to hold true to an ever growing answer to an impossibly challenging question.

This panel will focus on the role of geospatial data and technology in sustainability, and how it can be used to tackle challenges and help organizations reach their goals in this area.

Dr. Beth Crane will be discussing the importance of location intelligence and how it can revolutionize your business. Discover the various ways POI data can be used to optimize store locations, understand consumer behavior, and make more informed decisions that can save costs and increase revenue.

Where should we open 50 stores? Simple question right?

To answer it KFC UK have to dive deep into complex spatial modelling. Mobility data derived interaction surfaces , spatial ML ensemble models by channel and store format, big data optimization to create opportunity heat surfaces, and much more.

Spatial models can reveal important insights that help companies make multi-million dollar decisions. However, models are only as strong as the data that powers them. In this panel, we'll discuss some of the new types of data that Spatial Data Scientists are turning to create innovative spatial models for their companies and examine how recent advances in technology and ai are changing the way we access data.

After a turbulent few years and with the storm still raging we look at how consumer behaviour is changing, what that has meant for the retail landscape, living and working patterns and what this means for our towns and cities.

Despite the technological advancements in recent years, there’s still a lack of up-to-date information and customer perception data about businesses, brands and territories all in one place.

There's no doubt that Location Intelligence is invaluable for a wide variety of projects ranging from market expansion and site selection to distributor qualification and outdoor advertising, but how can businesses take their strategies one step further to really understand the dynamics of a territory and its customers?

In this presentation, Data Appeal explores the value of Sentiment Analysis and the Feedback Economy. They reveal how global beverage brand, Campari, harnesses the power of online reviews to pinpoint the most strategic places to distribute their products and launch their brand in new markets. By combining sentiment analysis with points of interest data, discover how Campari expanded their aperitivo favorites into Istanbul, Turkey.

In this presentation, we will explore how Voi Technologies, a Swedish e-scooter sharing company, is revolutionizing urban mobility through the power of geospatial analytics. We will discuss the challenges of urban transportation and how Voi is using data-driven insights to optimize scooter placement, improve safety, and create more efficient transportation networks. By harnessing the power of geospatial analytics, Voi is redefining urban mobility and improving the overall quality of life in cities. Join us to learn how data can transform the way we move around our cities.

As a charge point company, finding the right sites with high (future) utilization is essential for business success. A map based site selection tool fuelled by public data as well as industry data in combination with an automated planning UX was built to start with.

However, the growing live-operating charge point network, generates rich session- and utilization data, containing insights about charging behaviours connected to the spatial environment and time component.

The presentation will give an overview over our journey experimenting to find the influencing factors and variables to predict high utilization of future charging point locations as well as the many questions that come with solving the challenge of accurate prediction in a highly dynamic environment.

In this talk we will demonstrate how we can standardise all of our raster and vector geospatial data into a unified domain.

Through this unification we facilitate an easy plugin/plugout capability for all our raster and vector layers.In addition, this allows us to treat GIS data as traditional tabular data and feed it into modern ML capabilities.

Finally, moving GIS data to the tabular domain is a vehicle to democratise geospatial data to analysts and people that do not interact with raster or vector data in its raw shape. We have used these principles and designed an easy, scalable and extensible Flood Risk for Physical Assets solution using H3 as our unification grid.

CoreLogic is a premier property and location intelligence provider. The talk will spotlight how a combination of deep property and location insights, combined with CARTO's platform on a cloud-first approach, help produce some of CoreLogic's innovative solutions that are creating an impact across many industries.

Collaborative logistics allows two independent organizations to find spatial overlap in their customers without sharing any private personal information. Join this session, where we will define a spatial data clean room and its importance for collaborative logistics as well as finding optimal locations, and Smart City use cases. We will share the architecture that makes this possible and show live demo showcasing collaborative logistics for the city of Austin, TX using geospatial SQL functions, routing optimization and geospatial visualizations.

We will discuss how disparate data related to community characteristics, health outcomes/utilization, and access to resources can be analyzed together to identify population health needs across diverse communities and enable strategic deployment of solutions to address local social and access barriers associated with key health outcomes and utilization patterns. We will provide examples of how these data have been leveraged to identify COVID-19 resource needs and deploy transportation services to members residing in resource constrained regions.

How did the Cloud change how we work with data? What does that tell us about GenAI and LLMs? What does serverless have to do with all of this? How will event-based architectures drive AI-powered applications of the future?

Dive into the success story of NCM and Echo Analytics: Revolutionising in-theatre advertising using geospatial insights. Explore how this partnership harnessed the power of geospatial data to redefine audience targeting, ad optimization, and elevate experiences beyond the cinema.

Geographically weighted regression combined with spatial regression can predict the rent prices of ground floor retail space. Without these techniques, regression models ignore spatial autocorrelation and result in overestimation or underestimation of prices. Using R spatial statistics packages, it is possible to automate the selection of variables to predict price. Is it better to incorporate rents at nearby properties within a radius or walking distance? Should you incorporate population density or the presence of certain co-tenants? Automation loops through all combinations, creates local neighborhoods, and selects the optimal GWR and spatial regression models to answer these questions.

Revel's mission is to accelerate EV adoption by providing the infrastructure and services that make it easy to go electric. Join Will Geary, Senior Data Scientist at Revel, as he delves into how to build an electric rideshare service from the ground up using spatial data science.

In the world of out of home advertising, the quest for selecting impactful placements and accurate campaign measurement has long been challenged by the scarcity of dependable data. Join Eugene, Senior Product Manager from SafeGraph, and Chen, Sciences Director from Billups, as they delve into the art of campaign planning and precisely measuring campaign performance through the lens of POI data and building footprints.

When it comes to finding new markets and growing market share, the key to success is somewhere in your customer data. Get a first-hand look at how brands can apply customer-level predictions to broader populations in order to assess new market opportunities and develop powerful geomarketing strategies.

Join experts across the geospatial industry to hear their thoughts on careers and skills in Spatial Data Science. What makes hiring in this industry such a challenge? Is there a skills gap, and what can we do to change this? Hear all this and more, and make sure to bring along your most burning questions!

In cities, geographic data scientists have access to vast data from multiple sources. Despite such abundance of data, short of compiling them into a huge multivariate atlas, turning these into information remains a significant challenge.  In this paper, we present a solution that pairs old technology (unsupervised learning) with new technology (LLMs and in-context learning) to product an open and reproducible geodemographic classification system for the United States.  We demonstrate a hierarchical prompting strategy with in context learning to summarize highly multivariate cluster analyses.  Our map is carefully validated and useful both as demonstration of a new technique and as a better way to understand block groups in the United States.

Google Maps Platform recently launched 3D visualization and introduced a new suite of products for the environment. We are expanding what developers can do with Google Maps Platform to build new experiences and pave the way for a sustainable future with the Solar API, Air Quality API and Pollen API.  Additionally, the 3D Map Tiles API opens up new data visualization possibilities.  Learn how you can go beyond the map with Google Maps Platform's newest product announcements and innovations.

Global health delivery continues to be one of the greatest challenges to our worldcommunity, with over 400 million of the world's population lacking access to basic medicalcare and 5 billion to safe and affordable surgical care. Yet, recent developments in datascience are presenting an unprecedented opportunity to unlock access to critical care bycreating efficient markets in healthcare delivery. Learn how Virtue Foundation, with.Partners such as Carto, are using ML/AI to predict medical deserts and get criticalhealthcare to those who need it most.

Join Ricardo to discover how satellite imagery is helping to uncover the impact of wildfires on UK emissions. Despite not being commonly associated with wildfires, the UK has recently witnessed a surge in incidents. As compilers of the UK National Atmospheric Emissions Inventory, we've developed a fire detection algorithm to monitor these events and their emissions. During this talk, we will guide you through our methodology and explore how a modular approach allows this pipeline to go beyond fires to monitor algal blooms, deforestation, and glacial changes.

A team of geospatial data scientists had developed deep, multi-source intelligence for their branches.  They acted on the insights to create positive outcomes from seasonal challenges and created predictive models for the year ahead.  More recently, they've upped their game embracing near real time spatiotemporal data to take decision-making to a whole new level.   Whilst we can't disclose the organization, we can share the case study and demonstrate their prowess in urban movement analysis.  You'll see how they've been able to set up alerts and alter the position of their mobile units on an hourly basis to delight loyal customers and be in the right place at the right time to acquire new target consumers.