Bruno Meseguer & Markus Eisele
Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache Camel
#1about 3 minutes
Reimagining enterprise integration in the age of AI
Enterprise integration seems outdated, but AI can evolve these scenarios by adding intelligence rather than completely replacing them.
#2about 9 minutes
Ingesting and processing legacy EDI data with Apache Camel
A live demo shows how Apache Camel, Kaoto, and local LLMs can parse legacy EDI files, generate PDFs, and populate multiple databases.
#3about 9 minutes
Interacting with an autonomous agent for invoice management
An autonomous agent uses tool calling to modify invoices and apply promotions, but fails when given a complex, multi-step prompt.
#4about 4 minutes
Using a planning agent to handle complex user requests
A planning agent successfully handles complex prompts by decomposing them into a sequential execution plan for the autonomous agent to follow.
#5about 6 minutes
Creating an event-driven workflow with human-in-the-loop approval
An event-driven process analyzes a conversation transcript to create a task proposal, which a human then validates and approves via a dashboard.
#6about 1 minute
Summary of AI-driven integration and project resources
The presentation concludes with a summary of how AI and integration can be blended and provides a link to the demo's source code repository.
Related jobs
Jobs that call for the skills explored in this talk.
Wilken GmbH
Ulm, Germany
Senior
Amazon Web Services (AWS)
Kubernetes
+1
Matching moments
03:23 MIN
Integrating new technologies while managing legacy systems
Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?
02:51 MIN
Integrating AI with existing enterprise data sources
Semantic AI: Why Embeddings Might Matter More Than LLMs
05:25 MIN
Applying AI across the entire software development lifecycle
AI in Action: Real Use Cases with Real Impact - Hanna Hennig, Michael Ameling, Tobias Regenfuss
03:27 MIN
Integrating AI across the entire business value chain
Software is the New Fuel, AI the New Horsepower - Pioneering New Paths at Mercedes-Benz
03:01 MIN
Understanding the core components of an AI agent
Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure
01:47 MIN
Three pillars for integrating LLMs in products
Using LLMs in your Product
03:22 MIN
The three evolutionary phases of enterprise AI
Bringing AI Everywhere
03:44 MIN
The role of frameworks in simplifying AI integration
Java Meets AI: Empowering Spring Developers to Build Intelligent Apps
Featured Partners
Related Videos
30:01Agentic AI Systems for Critical Workloads
Mario Fusco
31:53Java Meets AI: Empowering Spring Developers to Build Intelligent Apps
Timo Salm
30:48One AI API to Power Them All
Roberto Carratalá
29:18Create AI-Infused Java Apps with LangChain4j
Daniel Oh & Kevin Dubois
39:11Agents for the Sake of Happiness
Thomas Dohmke
22:19Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
Abhimanyu Selvan
15:26New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs
Gregor Schumacher, Sujay Joshy & Marcel Gocke
24:22Beyond Chatbots: How to build Agentic AI systems
Philipp Schmid
Related Articles
View all articles
From learning to earning
Jobs that call for the skills explored in this talk.
AVEX Automotive GmbH & Co. KG
Hamburg, Germany
Intermediate
React
OpenAI API
Wolters Kluwer
Alphen aan den Rijn, Netherlands
Intermediate
Node.js
TypeScript
Cloud (AWS/Google/Azure)
Collaboration Betters The World GmbH
API
Azure
Flask
Python
FastAPI
+2
EPAM Systems, Inc.
Remote
Azure
Python
Machine Learning
Product Management
+3
aneon solutions GmbH
Vienna, Austria
Remote
€60K
API
ETL
SAP HANA