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.