Research Director, Data-as-a-Service and Location & Geospatial Intelligence
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Registration & Welcome Breakfast
Founder & Chief Strategy Officer of CARTO
Use of machine learning, ontologies, differential privacy, and of course location intelligence to create an open, multi-layer executable digital twin for speculative and predictive analytics. 1. Digital Twins are in their early stages but have powerful disruptive potential 2. Spatial analytics extended with machine learning and deployed on federated digital twins is a path worth exploring.
Distinguished Technologist & CTO
Extending Digital Twins with AI
With continuous growth in the size of datasets and declining cost of storage, it’s becoming more common to use a data warehouse like Amazon Redshift for geospatial data. With AWS Data Exchange, you can search for — and subscribe to — third-party datasets that are live, up to date, and can be queried immediately alongside your first-party data in Amazon Redshift. Learn how this novel approach sets data free, enabling data monetization for third-party providers, and secure and live data access for high-performance serverless geospatial analytics within and across organizations.
Global Lead for Geospatial Data, AWS Data Exchange
Serverless Geospatial Analytics with AWS Data Exchange for Amazon Redshift
Given that drivers spin a virtual web of routes and drive-paths in and around any metro-area, when determining an ideal location for a second facility in the same metro-area, how do we calculate which drivers will continue to use the existing facility and which will switch (‘divert’) to the new facility? We will discuss how following GPS breadcrumbs, creating isochrones and using existing facility usage can provide a framework to approximate a simple percentage of diversion from one facility to another – and any efficiencies gained from that diversion.
Calculating the Impact of a New Trucking Terminal: A Diversion Analysis
Using Open Street Maps road network and hectare cell-level population data, Data Clinic developed socially meaningful spatial units for Denmark in collaboration with Aalborg University to enable research and analysis while adhering to privacy restrictions. We will also discuss scaling this work to other use cases and how you can contribute to this and other open source projects from the Data Clinic.
Developing Fine-Grained Geospatial Units That Reflect the Built & Natural World
Data teams used to approach working with multiple datasets as 'combining' them; today, advanced teams see themselves as building net-new data products. This presentation will teach you how to reframe the way you approach the data you work with today and bring longevity to the output of your team. You'll walk away with applicable tips to improve your own spatial data matching, a framework for building a data product your 'end users' will use, and steps to ensure the success of your data product long term.
A New Framework for Leveraging Spatial Data
Implementing spatial data into research can provide much more granular and detailed insights into the relationships we are studying. The extent to this, and the value added, will be explored through the context of a recent project looking at the impact of pandemic-related stringency measures on consumer behaviours at Walmart over the onset of the pandemic.
Essential Retailing Consumption Behaviours During the COVID-19 Pandemic: The Added Value of Spatial Data
What happens when a ‘fixed’ product doesn’t stay put? How about when there are over a million of them, each reporting location data by the minute? Please join Ryan Rembert and Forrest MacDonald in a discussion regarding the location data of their wireless (cellular) internet gateway device. They’ll discuss managing high volumes of data, designing a product in the interest of the customer, as well as the algorithmic segmentation of customers based on mobility behaviors.
Director, Software Development
Senior Manager, Data & Analytics (Geospatial Engineering & Analytics)
Mobility of a ‘Fixed’ Product
Climate change is a global issue with multiple contributing factors. Hear how organizations are leveraging massive amounts of earth observation data to inform sustainable investment and adaptation strategies.
Geospatial & Sustainability Expert
Chief Product Officer
Spatial Data Science Project Manager at Atlas AI
Senior Product Manager
Panel: Sustainability – Can We Pin The Problem?
What do these 4 things have in common? Putting scale first. The coolness factor. Turnover. The pandemi-pocalypse. The answer? They led to our failure to build geospatial capabilities. That’s right - this is not another conference success story. Learn what went wrong – at a strategic and tactical level – and what I would have done differently. Walk away with concrete, actionable lessons on what it takes to get from promise to practice when geospatial is new in your organization.
Senior Associate Vice President, Data Science
How I Didn’t Build Geospatial Capabilities: A Tale from the Trenches
Snowflake's evolution into a data cloud platform, offering support for data engineering, data science & ML, data sharing, streaming analytics, and, of course, geospatial analytics, enables new use cases for our customers and partners. From Dynamic Pricing, to Fleet Management, to Energy Grid optimization and beyond - Snowflake is becoming a platform of choice for conducting geospatial analytics in the cloud. Come learn about new innovations and use cases becoming possible on Snowflake today.
Sr. Manager of Product Management - Geospatial
Data Cloud Advocate
Snowflake's evolution to Geospatial Data Cloud: New Use Cases and Capabilities
Consumers make countless decisions as they move throughout the day, many of which are influenced by the out-of-home (OOH) ads that they engage with in the physical world. Join Claudia Chang of Clear Channel Outdoor (CCO) as she dives into how CCO uses mobile location data and geospatial models to plan powerful OOH campaigns that complement an omnichannel approach to this consumer journey.
Product Operations Manager, RADAR Data Products
Using Consumer Movement and Behaviors in Impactful Out-of-Home Planning
Using GPS location data appended to POIs can greatly enhance your ability to understand movement patterns, visits, and dwell times. In this discussion, we will dive into methods to enhance and tweak your visit attribution models to account for specific variances in your business.
Enhancing Visit Attribution at POIs
In this talk, Kent will introduce the Databricks Lakehouse for efficient and flexible geospatial data processing and analytics. Kent will highlight recent boundary-pushing performance improvements with H3. Using OSM and NYC building data, Kent will walk through a practical example of location analytics to understand access to different services.
Staff Product Manager
Geospatial Lakehouse for Location Analytics
Join our expert panel of data providers as they dive into data's role in decision-making and how they see this evolving in the near and distant future. Expect to hear about new data streams, sources, and use cases, as well as the challenges and opportunities that lie ahead for unlocking their potential.
Research Director, Data-as-a-Service and Location & Geospatial Intelligence
CEO & Co-Founder
CEO & Co-Founder
Panel: The Future of Location Data in Decision Making
Drinking water contaminated by chemicals affects millions of Americans. We examined machine learning approaches for predicting private wells susceptible to contamination by leveraging spatial techniques. Key takeaways: 1) Using machine learning techniques to predict drinking water contamination 2) Challenges caused by spatial clustering in the data and solutions 3) Best practices in communicating model results
Lead Data Scientist
A Machine Learning Approach for Identifying Private Wells Susceptible to Chemical Contamination
In this session, we will go through the fastest way of sourcing and ingesting Points of Interest by using open sources, polygons, and satellite imagery. We will also discuss how our approach made it possible to do brand attribution, taxonomy, and data labeling at scale, to ensure we deliver ultra-granular POIs.
Vice President of Product
A Scalable Methodology for Building POIs in Less than 6 Months
In an increasingly volatile world with economic uncertainty, high inflation and evolving market dynamics, the use of geospatial analytics in CPG to meet customers and consumers needs is increasingly driving more P&L value through analytics innovation in use-cases such as route to market, last mile delivery in D2C and revenue growth optimization.
Senior Director, Head of Data & Analytics
Driving Value with Geospatial Analytics in Consumer Goods in the Post-Pandemic World
Over the past decade, advancements in vehicle connectivity, telecommunications, and big data analytics have enabled the development and implementation of high-fidelity performance metrics to understand and operate our roadways. Traditionally, vehicle sensors are deployed by transportation agencies to monitor roads, which are costly, time-consuming, and requires habitual maintenance. Case studies using connected vehicle data are presented and results visualized using web-based geospatial tools.
Why Vehicles Know More About Our Road Infrastructure Than We Do
Spatial Data Scientist of the Year Award
This year we held multiple Spatial Data Science Workshops in multiple locations across the city - in partnership with our sponsors (CARTO, Google Cloud, Snowflake, Databricks, and AWS).
These workshops were designed for Data Science and Analytics professionals in a range of industries - allowing the community to come together and share best practice on methodologies, tools and types of data that can be used in spatial models.
"Democratising Geospatial: Advanced Spatial Analytics at Scale"
"Enable Serverless Geospatial Analytics and Machine Learning with AWS and CARTO"
"Building a Flexible Geospatial Lakehouse on the Databricks Platform"
"Geospatial Analytics with Snowflake and CARTO"
Each year, a panel of experts select the Spatial Data Scientist of Year, taking into account the projects, research and methodologies used by leading Spatial Data Science talent from across the globe.
This year, Kyle Walker was selected as the winner!
Kyle is an Associate Professor of Geography & Director of the Center for Urban Studies at Texas Christian University and has had a huge impact on the ability for Spatial Data Scientists to analyze census and other demographic data through a suite of R packages. These packages are widely used across the industry and are fundamental to many research projects relating to population geography. Congratulations Kyle!
Make the most of this unique opportunity to put your organization at the forefront of the Spatial Data Science space, building your brand and connecting with more than 700 Data Scientists and Analytics professionals from a wide range of industries