FME UK Tour

Moving beyond ArcMap, utilities face the challenge of modernising their network data to enable a Digital Twin. This presentation will explore the opportunities of the Esri Utility Network, showcasing how it allows for detailed modelling of real-world assets, such as the inside of sewer chambers. Learn how Esri UK has leveraged FME to tackle common, complex data migration issues. We'll present practical examples of using FME to resolve stacked points, intelligently shorten pipes for new asset installation and implement essential data fixes, demonstrating FME's vital role in achieving data readiness for a modern utility network.

Manually keying metadata is nobody's idea of fun, yet it's essential for effective data discovery. This session explores how to use FME to automate the generation of metadata and keyword tags for any dataset in your inventory, regardless of format. We'll demonstrate how extracting existing data properties can create a "good enough" baseline, significantly improving searchability instantly. We'll highlight that unvalidated, machine-generated metadata is far superior to none at all and by providing a tangible starting point, we empower your Subject Matter Experts to 'refine', rather than create, streamlining validation and making data cataloguing far less painful!

Smartphones negatively impact children's concentration, behaviour and well-being in schools. The Smartphone Free Schools Rating initiative establishes clear standards to help schools foster genuinely smartphone-free environments, leading to improvements in academic attainment, attendance and a reduction in bullying. Achieving the ambitious goal of every school in England and Wales reaching Gold status by 2030 hinges on efficient data collection and management. This session details how Avineon Tensing partnered with the non-profit to solve their data challenges using FME Flow Hosted. By automating manual workflows, the partnership ensured the resilience and scalability of the solution, allowing the charity to focus its valuable volunteer time on critical outreach and support, ensuring more children benefit from happier, healthier childhoods.

Struggling to manage and categorise complex data at scale? This session introduces AI Embeddings: a transformative technique that converts unstructured data like imagery or long-form text into a series of numbers called vectors. These vectors act as a "mathematical fingerprint," allowing computers to understand the inherent meaning and context of your data, rather than just relying on basic attributes. In this session we'll demonstrate how FME orchestrates the end-to-end workflow: generating embeddings, storing them in a vector database and performing similarity analysis to automate data classification. Whether you're identifying real estate with a specific "interior vibe" or grouping related datasets in a massive catalogue, you'll learn how this approach provides a sophisticated way to find the wood from the trees.

Major infrastructure projects generate thousands of documents across multiple stakeholders. When access to a Common Data Environment (CDE) like Oracle Aconex is limited, relying on manual downloads introduces delays and errors. This presentation shows how FME automation delivers essential value. It integrates directly with Oracle Aconex to automate secure file downloads and structures and logs the data for complete auditability and traceability, sending real-time notifications to keep interdisciplinary teams informed. The result is a solution that ensures faster, more accurate data flow and significantly reduces manual effort, enabling seamless collaboration and greater efficiency on large-scale projects.

We go behind the scenes of our 12-day "Countdown to Christmas" event, where we deployed a suite of FME Flow Workspace Apps to engage the FME community through games and data challenges. This session demonstrates how Workspace Apps can deliver packaged, self-service solutions from internal reporting tools to public data services without the need for custom web development. We will lift the lid on four specific technical highlights: orchestrating a Scottish Gritter tracker using Esri feature services, leveraging Vibe Coding to generate complex reports that previously required a developer and utilising FME's latest PDF tools for automated outputs. Finally, we'll show how we used FME and Excel templating to automate our own event admin, providing real-time visibility into user engagement across all twelve challenges.

Discover how Earth Observation data from the EO Datahub could transform your geospatial workflows. This session will explore the potential of space-based data and how it can be integrated into your existing FME processes to unlock new insights and capabilities.

FME Form and Flow have helped The National Lottery Heritage Fund to revolutionise the reporting potential of 30 years of historic grant award data. Managing decades of data introduces complex challenges, which FME is uniquely positioned to solve by enabling us to process datasets and connect to APIs that were previously inaccessible. This session will showcase two critical data transformation initiatives. Firstly, we'll demonstrate our FME process for correcting thousands of historical project locations linked to retired postcodes and show our next steps in developing a responsive FME Flow automation, to proactively maintain address accuracy for ongoing data analysis. Secondly, having working with Avineon Tensing to hone our approach, we'd like to show you how we use FME to access the 360 Giving API to match grant-awarded organisations to their unique IDs; by back-populating these IDs, we can overcome challenges from organisation name changes and application variations, enabling us to create vastly improved, high-quality organisation profiles for future reporting.

Once upon a time, in a land of scattered datasets and locked-away imagery, a great challenge arose: how to transform a simple field observation into a majestic 3D kingdom. This session tells the tale of an end-to-end lifecycle, where FME acts as the true maestro, orchestrating a magical assembly of tools. The story begins in the field with Survey123, capturing the "stones and mortar" of our castle data. From there, FME lets down its golden hair to pull that data into a world of AI-powered enrichment and cleansing. Finally, witness the transformation as raw data is spun into gold, generating immersive 3D visualisations. Join us for this fairytale journey from capture to crown and learn how to rule your own data realm with the power of FME.

Repeated road closures across Greater London cause congestion and economic disruption. The Greater London Authority's Infrastructure Coordination Service promotes a 'dig once' approach, encouraging collaboration between utility providers and highway authorities. With FME we streamlined estimations of the economic and social value of street works collaboration.

Manually keying metadata is nobody's idea of fun, yet it's essential for effective data discovery. This session explores how to use FME to automate the generation of metadata and keyword tags for any dataset in your inventory, regardless of format. We'll demonstrate how extracting existing data properties can create a "good enough" baseline, significantly improving searchability instantly. We'll highlight that unvalidated, machine-generated metadata is far superior to none at all and by providing a tangible starting point, we empower your Subject Matter Experts to 'refine', rather than create, streamlining validation and making data cataloguing far less painful!

How do we save lives on Britain's roads when collision data is sparse and stochastic in nature? SYSTRA's new digital solution, Collision Seek, addresses this challenge using rich geospatial data and emerging machine learning techniques. The application serves to surface collision type and severity inference associated with any specified physical environment in Great Britain using environment semantic embedding machine learning models. The tool affords insight to road collision risk across both motorised and non-motorised user groups, helps identify appropriate mitigations, and how such mitigation should be prioritised across road networks.

Struggling to manage and categorise complex data at scale? This session introduces AI Embeddings: a transformative technique that converts unstructured data like imagery or long-form text into a series of numbers called vectors. These vectors act as a "mathematical fingerprint," allowing computers to understand the inherent meaning and context of your data, rather than just relying on basic attributes. In this session we'll demonstrate how FME orchestrates the end-to-end workflow: generating embeddings, storing them in a vector database and performing similarity analysis to automate data classification. Whether you're identifying real estate with a specific "interior vibe" or grouping related datasets in a massive catalogue, you'll learn how this approach provides a sophisticated way to find the wood from the trees.

Join us for a behind-the-scenes look at Fisher German's journey with FME and how we've transformed everyday workflows into self-service automated solutions. FME Flow Apps and Automations have become the backbone of our data processes, handling everything from seamless Ordnance Survey updates to reducing manual effort across the business. In this session, we'll dive into two of our most recent developments. First, we'll demonstrate Automated Plan Creation, which speeds up response times, improves consistency and frees up resources. Second, we'll showcase SiteSavvy, a solution that leverages Optimised Routing APIs and brings together various datasets for smarter site visit planning and reporting.

We go behind the scenes of our 12-day "Countdown to Christmas" event, where we deployed a suite of FME Flow Workspace Apps to engage the FME community through games and data challenges. This session demonstrates how Workspace Apps can deliver packaged, self-service solutions from internal reporting tools to public data services without the need for custom web development. We will lift the lid on four specific technical highlights: orchestrating a Scottish Gritter tracker using Esri feature services, leveraging Vibe Coding to generate complex reports that previously required a developer and utilising FME's latest PDF tools for automated outputs. Finally, we'll show how we used FME and Excel templating to automate our own event admin, providing real-time visibility into user engagement across all twelve challenges.

Discover how Earth Observation data from the EO Datahub could transform your geospatial workflows. This session will explore the potential of space-based data and how it can be integrated into your existing FME processes to unlock new insights and capabilities.

Smartphones negatively impact children's concentration, behaviour and well-being in schools. The Smartphone Free Schools Rating initiative establishes clear standards to help schools foster genuinely smartphone-free environments, leading to improvements in academic attainment, attendance and a reduction in bullying. Achieving the ambitious goal of every school in England and Wales reaching Gold status by 2030 hinges on efficient data collection and management. This session details how Avineon Tensing partnered with the non-profit to solve their data challenges using FME Flow Hosted. By automating manual workflows, the partnership ensured the resilience and scalability of the solution, allowing the charity to focus its valuable volunteer time on critical outreach and support, ensuring more children benefit from happier, healthier childhoods.

Once upon a time, in a land of scattered datasets and locked-away imagery, a great challenge arose: how to transform a simple field observation into a majestic 3D kingdom. This session tells the tale of an end-to-end lifecycle, where FME acts as the true maestro, orchestrating a magical assembly of tools. The story begins in the field with Survey123, capturing the "stones and mortar" of our castle data. From there, FME lets down its golden hair to pull that data into a world of AI-powered enrichment and cleansing. Finally, witness the transformation as raw data is spun into gold, generating immersive 3D visualisations. Join us for this fairytale journey from capture to crown and learn how to rule your own data realm with the power of FME.

Climate change is introducing hazards like heat stress, wildfires and drought to the built environment. This session explores how advanced geospatial analytics can be leveraged to understand and mitigate these hazards and support sustainable development and retrofit. The presentation highlights the role of data orchestration in enabling seamless access to high-value data products from Map Impact, enabling proactive risk assessment and better-informed infrastructure planning.

Manually keying metadata is nobody's idea of fun, yet it's essential for effective data discovery. This session explores how to use FME to automate the generation of metadata and keyword tags for any dataset in your inventory, regardless of format. We'll demonstrate how extracting existing data properties can create a "good enough" baseline, significantly improving searchability instantly. We'll highlight that unvalidated, machine-generated metadata is far superior to none at all and by providing a tangible starting point, we empower your Subject Matter Experts to 'refine', rather than create, streamlining validation and making data cataloguing far less painful!

Follow the NHS SCW Geospatial Service team's 2-year programme journey through FME Certification, with highlights on how structured learning and certification has transformed workflows and capabilities. From team context on the process of becoming FME Certified Professionals, the skills gained, enhanced expertise, to practical examples of business value and ROI on continuous professional development. Transfer of learning within the NHS has improved data integration, process automation, and innovative value adding geospatial analysis addressing healthcare challenges.

Struggling to manage and categorise complex data at scale? This session introduces AI Embeddings: a transformative technique that converts unstructured data like imagery or long-form text into a series of numbers called vectors. These vectors act as a "mathematical fingerprint," allowing computers to understand the inherent meaning and context of your data, rather than just relying on basic attributes. In this session we'll demonstrate how FME orchestrates the end-to-end workflow: generating embeddings, storing them in a vector database and performing similarity analysis to automate data classification. Whether you're identifying real estate with a specific "interior vibe" or grouping related datasets in a massive catalogue, you'll learn how this approach provides a sophisticated way to find the wood from the trees.

Discover how Earth Observation data from the EO Datahub could transform your geospatial workflows. This session will explore the potential of space-based data and how it can be integrated into your existing FME processes to unlock new insights and capabilities.

We go behind the scenes of our 12-day "Countdown to Christmas" event, where we deployed a suite of FME Flow Workspace Apps to engage the FME community through games and data challenges. This session demonstrates how Workspace Apps can deliver packaged, self-service solutions from internal reporting tools to public data services without the need for custom web development. We will lift the lid on four specific technical highlights: orchestrating a Scottish Gritter tracker using Esri feature services, leveraging Vibe Coding to generate complex reports that previously required a developer and utilising FME's latest PDF tools for automated outputs. Finally, we'll show how we used FME and Excel templating to automate our own event admin, providing real-time visibility into user engagement across all twelve challenges.

Find out how SCW Geospatial are automating geospatial workflows. This session will showcase the integration of FME Flow and Esri tools to handle boundary changes, mergers, and mapping tasks through a self-service interface. By automating data processing, validation and map generation, the manual effort is reduced, while enabling NHS ICB teams to receive real-time accurate outputs. Learn how FME Flow and Esri ArcGIS can seamlessly integrate, resulting in enhanced operational efficiencies and effectiveness.

Jacobs developed an efficient, scalable, and automated methodology using FME to address emerging Biodiversity Net Gain (BNG) challenges. Our approach standardises BNG inputs and outputs, effectively bridging geospatial and technical disciplines. FME is central to integrating complex environmental data, enabling the rapid generation of BNG baselines for large-scale projects. This FME-powered methodology allows project designs to be rapidly amended and re-run throughout the project lifecycle (feasibility to delivery), facilitating nature-considerate design and insightful multi-stakeholder conversations.

Once upon a time, in a land of scattered datasets and locked-away imagery, a great challenge arose: how to transform a simple field observation into a majestic 3D kingdom. This session tells the tale of an end-to-end lifecycle, where FME acts as the true maestro, orchestrating a magical assembly of tools. The story begins in the field with Survey123, capturing the "stones and mortar" of our castle data. From there, FME lets down its golden hair to pull that data into a world of AI-powered enrichment and cleansing. Finally, witness the transformation as raw data is spun into gold, generating immersive 3D visualisations. Join us for this fairytale journey from capture to crown and learn how to rule your own data realm with the power of FME.