Overture Member Summit 2026

In this session we will cover the ways in which Overture data is being adopted and used within Esri. We will provide an update on the products covered in last year's Member Summit as well as provide details on new efforts in 2026.

In this talk, we share Uber’s approach to evaluating Overture’s global POI and address datasets from a production maps perspective.

We will describe the goals and scope of our evaluation, including the international markets we focused on and the practical questions we aimed to answer as a downstream consumer of open geospatial data. The talk will outline how we assessed net-new coverage, data quality, and enrichment attributes, with an emphasis on understanding where open data provides incremental value and where gaps remain.

A key focus will be our evaluation methodology. We will walk through a multi-pronged approach that combines standalone sampling, comparative analysis against existing datasets, and trip-based coverage headroom to better approximate real-world user impact. Rather than relying solely on raw feature counts, this framework prioritizes where missing or incorrect data most affects actual usage.

Finally, we will share high-level findings and lessons learned from the evaluation, including observations on strengths, limitations, and areas where closer collaboration between data producers and consumers could improve outcomes.

Global search products break down when they treat geography as a flat and uniform monolith. This session argues that administrative boundaries and natural features are not “background/secondary data”, but core product anchors that enable search products like Bing reason about Places the way users actually think (by country, region, colloquial area, or natural landmark). Drawing from Bing’s experience evolving its Admin & Natural Features layer, we show how a strong, consistent regional model can enable region specific queries, reduce market by market hacks, and unlock scalable relevance across the world. The talk reframes Admin & NF investment as a product decision, one that directly shapes user intent understanding, regional correctness, and long term search quality, rather than a purely infrastructural concern.

This presentation will outline how the Global Earthquake Model (GEM) Foundation is currently using Overture data to assess risk due to earthquakes and other natural hazards around the world, the limitations of currently available data, and potential opportunities for future improvements.

We will also present the outcomes of a workshop hosted by GEM earlier this year, bringing together organizations actively collecting and disseminating datasets regarding the built-up environment.

GEM has a number of open software tools, datasets and standards that can be used freely for risk analysis and we believe that there are a number of other organizations that might also be prepared to contribute their own tools, data and expertise.

We would like to use this presentation to invite other parties interested in working in Disaster Risk Reduction/Climate Adaption/Humanitarian Response and related fields to join us to explore ways in which we can collectively improve the Overture data ecosystem to reduce the barriers to risk analysis and risk reduction.

A summary of all the cool things we've been doing with Overture Data

Increase awareness of the value proposition of connected geospatial data and how companies are exploiting that capability.
As geospatial data becomes increasingly critical for organisations seeking to make informed decisions, data enrichment, augmenting internal data with curated third-party data, is fast emerging as a key strategy.
In this presentation, we will show how using unique and persistent IDs, such as GERS, and the PreciselyID, makes it easier to integrate different geospatial datasets. This allows organisations to use and consume a wealth of trusted data for additional insight, including address and property data, points of interest, streets, demographics, boundaries, natural hazards, and more. We will also discuss the common challenges that organisations face when onboarding data and explain how connected data solutions solve these issues with our connected data solutions.
We will share examples of how leading companies use these capabilities to transform their operations and make geospatial insights accessible to everyone using a combination of Overture Places and Address GERs along with the extended attribution that can be connected to from Precisely.

This presentation shares how the AddressForAll Institute advocates for national address projects worldwide.
It explores the arguments, evidence, and narratives that resonate with governments.
From pilot discussions to formal commitments, we examine what works.
Real cases show how addressing moves from idea to policy.
A practical view of advocacy in action.

In this session, Intellias shares how its educational initiative, InteliMapLab, brought Overture into the classroom - not just as open data, but as a product ecosystem. Students worked hands-on with Overture datasets, explored its schema and governance model, and built real engineering solutions on top of it.

The program resulted in two tangible contributions: adapting the GraphHopper routing engine for Overture data and developing a statistics tool that can further be used by Overture community.

In the AI era, data usability matters as much as data quality. At Bing Maps, we've learned that Overture's most lasting contribution to the Addresses theme may be its schema, not its rows. This talk shares lessons from our ongoing journey: escaping closed-ecosystem formats, adopting TomTom Orbis Maps address data, migrating our pipelines toward GeoParquet and Overture-aligned schemas, and starting conversations about format convergence. The work is not finished — but the direction is clear, and the early wins are already tangible.

In many areas of geospatial data, we believe human experience and interactions are what makes data usable. While AI/ML generated datasets are steadily improving in quality, these can’t capture numerous aspects of daily life.

It is, however, still difficult to access and tap into the many sources of local knowledge. To improve this, HOT is introducing the “Open Mapping Marketplace”, which provides a platform for organizations, including commercial companies, to procure open geospatial data that is locally sourced by mapping communities all over the world.

Data creation tasks can include imagery acquisition (mainly drone imagery for now), ground truthing of AI models, creating locally relevant and applicable training datasets in a sustainable and ethical way, and more traditional data collection and mapping activities.

This session will offer attendees a practical framework for engaging with open mapping communities in a way that drives data quality while ensuring long-term sustainability and mutual benefit.

Modern mapping systems depend on data coming from many different sources, including internal datasets, external providers, and community contributions. While each source may be valuable on its own, combining them into a single, consistent map is far from trivial. Differences in schemas, coverage, update cycles, and quality standards often lead to conflicts, duplication, and inconsistencies that must be resolved before the data can be reliably used.

This session explores the practical challenges of turning multiple heterogeneous datasets into one coherent map. Drawing from real world integration experiences, it highlights the types of issues that commonly arise when aligning data across sources and the trade offs involved in resolving them. The talk frames data integration not just as a technical task, but as a continuous process that directly impacts map quality, scalability, and the ability to maintain a trusted representation of the world.