Innovation across the FME Platform continues to accelerate, especially in AI, automation, and enterprise integration. This quarter delivered some of our most impactful updates yet, from new AI reasoning capabilities to expanded support for BIM, ArcGIS Online, and Snowflake.
Whether you're enhancing AI-driven workflows, modernizing enterprise deployments with CI/CD automation, or exploring the latest in Data Virtualization and REST API V4, this roundup highlights the essential tutorials, knowledge articles, and documentation updates you’ll want to check out.
In this article:
AI in FME
Explore our latest beginner-friendly resources designed to help you integrate AI into your FME workflows.
These resources cover core concepts like AI reasoning, effective prompt engineering for both text generation and structured outputs, and using AI-driven file search techniques. You can also follow a hands-on tutorial that walks through generating dynamic workspace parameters with AI to power smarter, more adaptive data processing.
- Getting Started with AI in FME: Reasoning
- Getting Started with AI in FME: Prompt Engineering With Text Generation and Structured Outputs
- Getting Started with AI in FME: File Searching
- Tutorial: AI-Driven Parameter Generation for Dynamic Data Processing
ArcGIS Online & Portal
We’ve added the ability to update enterprise geodatabases via Portal Feature Services, and introduced support for creating web connections to ArcGIS Online or Enterprise using token-based authentication for seamless integration. Explore these resources below to get started:
- Update an Enterprise Geodatabase via a Portal Feature Service
- How to Create an ArcGIS Online or Enterprise Web Connection (Token)
BIM
You can now enrich IFC data and add custom property sets, convert AutoCAD drawings to IFC using the new IFC Writer, and perform IFC BIM Fit Checks to ensure model integrity and compliance. Get started with these resources:
- IFC: Enriching and adding Property Sets
- AutoCAD to IFC Conversion Using the New IFC Writer
- IFC BIM Fit Check
CI/CD and Automation
How CI/CD configuration works with FME: A great starting point for teams looking to automate workspace deployment, manage Flow environments, or introduce reproducible DevOps processes using industry-standard CI/CD tools.
Data Virtualization
Webhook Verification Using Data Virtualization: Describes how to use FME Flow’s Data Virtualization feature to properly verify incoming webhooks, including handling challenge-response and signature-based validation, enabling secure, real-time integration from external apps.
Document PDF
Getting Started With Document PDF Writing: Learn how FME can now generate fully-formatted PDF reports (with title pages, headings, text, tables, images and more) using the new DocumentPDF writer and DocumentPDFStyler transformer. Ideal for creating rich, text-based documents from your data.
Microsoft Word
Getting Started with Reading Microsoft Word: Users can now use FME (via the MSWordStyler transformer) to read .docx files, extracting headings, paragraphs, styles, lists, images, tables and more.
Python
External Editor for Python in FME: FME 2025.2 now lets you edit Python scripts in an external editor (e.g. Visual Studio Code or PyCharm), giving you access to features like code-completion and syntax highlighting for a smoother scripting experience.
REST API V4
The new REST API V4 expands and enhances how you work with FME Flow automations and integrations. It introduces broader support for resource management, job submission, availability monitoring, and offset-based pagination. We’ve also released updated workflows to help you get started using REST API V4 with tools like Postman and OpenAPICaller.
Explore the resources below to dive in:
- Managing FME Flow Resources Using the REST API V4
- Offset-Based Pagination Using the FME Flow REST API V4 and OpenAPICaller
- Monitoring FME Flow Availability with V4 REST API Health Checks
- Submitting a Job through the FME Flow REST API V4
- FME Flow REST API Changes: Automations
- FME Flow REST API V4 and Postman
Snowflake
We’ve added new guidance to simplify secure access to Snowflake using external OAuth with Azure AD. In addition, the FME Remote Engines Service is now available in Snowflake Marketplace, allowing FME workflows to run directly within the Snowflake environment for more seamless processing.
Learn more with these resources:
- How to Authenticate with Snowflake: External OAuth with Azure AD
- Getting Started with FME Remote Engines Service in Snowflake
Spatial
FME 2025.1 introduces Spatial Definition Tables to make managing spatial metadata easier than ever. We’ve also updated the placement of the Coordinate System parameter for a smoother setup experience and added support for combined spatial and non-spatial readers/writers, improving how mixed datasets are handled.
Learn more with these resources:
- Introducing Spatial Definition Tables in FME 2025.1
- Coordinate System Parameter Location Change
- Combined Spatial and Non-Spatial Readers and Writers
Transformers
Transformers with an Optional Input Port: Covers new transformer behaviour that simplifies workflows by letting transformers operate without mandatory input connections.
Web Connections
We’ve enhanced authentication across FME to make connecting your services easier and more secure. Updates include external-browser sign-in, a streamlined Microsoft Graph setup using service-principal authentication, and updated guides for creating Google Drive OAuth 2.0 connections in both FME Form and FME Flow.
Explore the resources below to get started:
- External Browser Authentication in FME Form
- Creating a Microsoft Graph Web Connection for Service Principal Authentication Using Client Assertion (Client Certificate)
- How to Create a Google Drive OAuth 2.0 Web Connection for FME Flow
- How to Create a Google Drive OAuth 2.0 Web Connection for FME Form
FME Flow - Knowledge Base Highlights
- Best Practices for Upgrading FME Flow
- FME Flow Express Install using Infrastructure-As-Code Tools
- Automating FME Flow Project Synchronization using Jenkins
- Automating FME Flow Post Installation Tasks using Jenkins
- Provisioning High Availability Flow Infrastructure on AWS using Jenkins
- Building AMIs using Jenkins
- Temporary File Locations in FME Flow
- Dynamic Parameter Configurations in FME Flow Apps
2025.2 Help Documentation Updates
General
The Readers/Writers and Transformer indexes are easier to navigate, filter, search, and even download results.
FME Transformers
Our “Connector” topics received a deep clean. We refined topics, and aligned the language and formatting:
- ArcGISAttachmentConnector
- ArcGISOnlineConnector
- AutodeskDocsConnector
- AzureBlobStorageConnector
- AzureFileStorageConnector
- BoxConnector
- CesiumIonConnector
- CKANConnector
- DropboxConnector
- GoogleCloudStorageConnector
- GoogleDriveConnector
- HDFSConnector
- OneDriveConnector
- ProjectWiseWSGConnector
- S3Connector
- SharePointOnlineConnector
- TrimbleConnectConnector
3D Slicer Transformer
The 3DSlicer transformer accepts features with any geometry type and splits them along a specified 3D plane. If you work with 3D geometries, the help topic for the 3DSlicer is worth a look, and there’s a new diagram to help with determining normal vector values.
FME Flow
Dynamic Parameter Configuration: If enabled, allows you to use a JSON schema dynamically at runtime to change default values or available user parameter choices.
Let us know your thoughts!
We hope this edition of the FME Knowledge Roundup helps you stay ahead of the latest platform updates and best practices!
Have suggestions for next quarter? Let us know what topics you'd like us to cover, we build these roundups with your feedback in mind.
Until next time!
