AI-Powered Data Integration with ArcGIS Data Interoperability
Structured data extraction is a key capability of Large Language Models (LLMs). Providers like OpenAI and Gemini offer APIs that transform unstructured content into clean JSON outputs. But LLMs alone aren’t enough. Without robust tools to automate, validate, and scale the process, you’re left with fragile scripts and manual clean-up. That’s where Esri Data Interoperability can help-seamlessly integrating generative AI into real-world data workflows.
- Bring OpenAI, Gemini and local AI models together inside your ArcGIS geoprocessing environment.
- Apply AI to sensitive GIS data safely using open-source models that run locally.
- Unlock data trapped in PDFs and unfamiliar formats, ready to load into ArcGIS.
- Search your ArcGIS Online content by meaning, not keywords, using AI embeddings.
- Practical, hands-on training from a long-standing Esri partner with decades of FME expertise.
Goals
- Understand the generative AI landscape and how providers such as OpenAI and Google Gemini differ, so you can choose the right model for each task.
- Connect workspaces to AI services through their APIs, writing effective prompts and returning structured JSON that can be parsed reliably.
- Run open-source models locally with Ollama, so you can use AI on sensitive data without relying on external services.
- Clean, standardise and enrich messy data with AI, moving beyond manual review and rules-based logic.
- Handle unknown schemas and unstructured sources, using AI to map incoming data to your own structure and extract tables from PDFs.
- Orchestrate multi-model workflows, combining computer vision and generative AI, and using embeddings to search and match content by meaning rather than keyword.
This hands-on, one-day course shows you how to build Generative AI into your ArcGIS Data Interoperability workspaces, turning messy, unstructured and unpredictable content into clean, structured data. Building on foundational Data Interoperability skills, you’ll start with how AI services are reached through their APIs. You’ll then connect to models from providers such as OpenAI and Google Gemini, and to open-source models running locally with Ollama for cases where security and data protection matter most. Along the way you’ll learn to write effective prompts and get back structured JSON you can rely on, then use that to clean and enrich real-world data. The course then moves on to harder problems. These include mapping unknown schemas to your own structure, extracting tables from PDFs, orchestrating Roboflow computer vision models alongside generative AI, and using embeddings to search ArcGIS Online content by meaning rather than keyword. You’ll leave with practical, multi-model workflows you can put to use straight away.
Who is this course for?
This course is intended for an existing user of ArcGIS Data Interoperability, but don't worry, you only need to have scratched the surface since this course is a deep dive into AI as much as it is ArcGIS Data Interoperability. If you're keen to understand how AI and ML can help you move faster and add-value to data workflows, it's for you. Typical candidates are:
- ArcGIS Data Interoperability users eager to supercharge their automations with AI.
- Data management professionals wanting to tame their unstructured data and extract value from it.
- Those seeking scalable, cost-effective solutions to classify, extract and validate datasets using AI and Machine Learning (ML).
- Anyone wanting to keep up with this fast-paced topic and spend some time and immersion in AI automations!
Our Approach
To ensure a flexible training experience, we deliver this course in the following formats:
- 1 full day of focused training between 09:15 and 16:30.
- Bundled with content from other courses as part of a bespoke offering just for your organisation.
If you'd like something bespoke or would like to chat about the details, just get in touch by completing the form below and adding some extra detail to the 'please tell us more' text box.
Preknowledge
Attendees should have a basic working knowledge of ArcGIS Data Interoperability and be comfortable running a workspace, using readers and writers for common spatial formats such as Shapefile, GeoJSON and file geodatabase, and applying basic transformers to manipulate data. No prior experience of AI or machine learning is needed.
Duration
1 day training course
Register now for an Esri Data Interoperability Training course
Please register via the Esri UK Training registration page
Training events:
- Bespoke or Private? Just ask!