Presented by:
Siobhan Ryan
Tensing 

Working at Tensing I get the opportunity to collaborate with some amazing colleagues in The Netherlands and France. They shared with me a range of impressive Workspaces which I needed to adapt for projects I am working on in the UK. Unfortunately, my Dutch and French language skills aren’t quite up to scratch. That’s when I thought there must be a way to use FME to translate the bookmarks and annotations in the workspaces so I could understand what each part of the process was doing. This presentation will focus on the use of FME and Generative AI able to create a solution to successfully translate bookmarks and annotations in a workflow. Leveraging the unique capabilities of the FME Platform to read in existing workspaces and make requests to AI to translate workspace components. I’ll explore the choices that were made along the way, providing an insight into the workflows and processes involved. Hopefully inspiring you to think outside the box of fun and innovative ways you might be able to use FME and AI in your daily tasks.

Presented by:
Aric Lang
San Francisco International Airport

At San Francisco International Airport (SFO), we maintain a robust digital twin of the campus infrastructure in GIS, including indoor, outdoor, and subsurface infrastructure, which is used by stakeholders throughout the organization in day to day operations. With the creation of the new Airport Integrated Operations Center, there has been a rapidly growing demand to be able to visualize various types of live operational information on the existing data. This presentation details how FME Form and FME Flow are being used to consume data from various non-spatial API’s, such as real-time aircraft information, checkpoint wait time and status, and parking status, and integrate it with the infrastructure data maintained in GIS to provide a real-time web-enabled view of operations to empower and inform decision makers in order to provide the best guest experience possible.

Presented by:
Patrick Cheng
Plains Midstream

Highlighting the critical success of FME with real time data from Pipeline and Trucking IoTs. Leveraging the multitudes of IoT sensors in the pursuit of pipeline safety in the energy transportation industry, FME is being used to listen into our MQTT and PI Data message brokers to create an alternative visual platform to SCADA allowing for deeper analytics using readily available GIS data. Real time trucking location data has created new value avenues with ensuring each truckload is filled to capacity with FME flowing each trucks real time data on location and load, allowing for additional pickups and site recalls.

Presented by:
Bruno Blanco
Shelby County 9-1-1

This session will cover a common use case for local and state/provincial governments who create and/or maintain their 9-1-1 addressing data, particularly address points and road centerlines. In this session, you’ll learn how FME has helped Shelby County 9-1-1 (TN) automate the 9-1-1 addressing process; including automatically assigning attributes from disparate sources, on-the-fly QAQC of said data, and reporting. The FME logic that this presentation will cover includes: Table joins using attributes and geometry, Looping in custom transformers, Working with lists and Change detection.

Presented by:
Jean-Luc Miserez & David Reksten
INSER

We will present the data processing infrastructure, known as dataHub, implemented by a leading Swiss pharmaceutical distributor. Powered by FME, dataHub manages the daily flow of hundreds of files detailing sales figures, price lists, stock levels, and various other data. After a validation and QA phase, these files are integrated into the central database. In the third step, dataHub also prepares the data for processing by the company’s reporting tools.

Presented by:
Robyn Dennehy
IMGS

Discover how the Health Service Executive (HSE) in Ireland has leveraged FME to implement an automated solution for its “Order of Merit” process, which assigns medical interns to their preferred placements based on applications and academic performance. This presentation will showcase how FME validates applicant data, including placement preferences and academic results, ensuring both accuracy and eligibility. It will also explore how FME automates the matching process, efficiently assigning placements to interns and distributing offer letters. Beyond this, FME actively monitors responses and dynamically reallocates placements in line with the order of merit when offers are accepted or declined. The solution also features a self-service portal (FME Flow Gallery App), enabling administrators to manage the entire process seamlessly, make adjustments, generate reports, and maintain audit logs. Additionally, the system upholds strict data security and governance, utilising FME to encrypt data both at rest and in transit.

Presented by:
Tara Preston & Scott Story
Headwater Economics

Headwaters Economics, a non-profit research organization, utilizes FME to create positive change in communities across the United States. The data we prepare with FME helps communities address critical challenges such as wildfire risk, flood vulnerability, and economic transition in rural and underserved areas. In this presentation, we will showcase specific projects which demonstrate how we use FME to automate data acquisition and processing, link data to spatial features, and develop interactive data visualizations. We will share recent projects such as Wildfire Risk to Communities, a free, interactive tool that has helped hundreds of communities understand and reduce their wildfire risk; Neighborhoods- at-Risk, a data-driven tool that helps researchers and community leaders nationwide identify and understand their vulnerabilities to climate change impacts; and the Rural Capacity Index, a tool that helps measure a community’s ability to plan, fund, and implement infrastructure and municipal projects. Headwaters Economics is using FME to empower community leaders to make data-driven decisions as they prepare for increasing natural hazard risks, improve infrastructure, and create sustainable economic growth. By sharing our experiences and best practices, we aim to inspire others to use FME to harness the power of data to address pressing challenges and build more resilient communities.

Presented by:
Darren Fergus
Locus

A year on from our last exploration of AI and its integration with FME, this presentation revisits where we stand today. We’ll dive into the advancements that have delivered real value, the challenges where AI has fallen short of its hype, and the cautionary tales that remind us of its limitations. From overinflated expectations to groundbreaking successes, we’ll separate the signal from the noise and focus on what truly works in leveraging AI with FME. Join us as we discuss practical strategies for maximizing value, avoiding pitfalls, and keeping an eye on emerging trends to ensure continued progress in this rapidly evolving field.

Presented by:
Gianmarco Corvino & Luca Raso
GeneGIS GI

Effective disaster recovery and damage mitigation require the ability to rapidly identify sensitive and vulnerable environmental elements. In crisis scenarios, swift and informed decision-making is paramount to minimizing impacts and protecting resources. This showcase highlights the implementation of FME as a critical data orchestration platform, enabling the seamless integration, organization, and processing of information gathered via a mobile web app during emergency phases. By delivering processed data to the digital twin in near-real-time, FME ensures that decision-makers have access to up-to-date, actionable insights precisely when they are needed most. This approach significantly enhances the speed and effectiveness of response strategies, ultimately improving outcomes in emergency management and environmental protection.