Intelligent Business Process Management Suites (iBPMS) – The Next-Generation BPM for a Big Data World

In August 2014, I had an interesting talk at ECSA 2014 in Vienna about iBPMS called The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS). iBPMS is a term introduced by Gartner some time ago: Magic Quadrant for Intelligent Business Process Management Suites.

I want to share the slides with you. As always, I appreciate every comment or feedback…

Abstract: iBPMS / iBPM

Here is the abstract of my session about iBPMS:

Business Process Management (BPM) is established, tools are stable, and many companies use it successfully. However, today’s business processes are based just on “dumb” data from relational databases or web services. Humans make decisions based on this information. Instead, the value of big data analytics should be integrated into business processes, too. Besides, user interfaces are inflexible. Modern concepts such as mobile devices or social media are not integrated into business processes. That is status quo. Companies miss a huge opportunity here!
This session explains the idea behind next-generation BPM (also called Intelligent Business Process Management, iBPMS, iBPM), which includes big data analytics, social media, and mobile device support. The talk will focus on real world use cases. The audience will learn how to realize intelligent business processes technically by combining BPM, integration, big data and analytics.

Use Case: TIBCO AMX BPM + BusinessWorks + StreamBase + Tibbr

The content of the slides is vendor-independent. It will help you to understand the concepts of iBPMS and how different parts such as BPM, Big Data Analytics or Integration are related. It does not matter if you want to / have to use IBM, Oracle, TIBCO, or any other software for realizing iBPMS.

To demonstrate the implementation of a real world sue case, the slides also include an example of how to implement iBPMS with the TIBCO middleware stack. The solution uses:

  • TIBCO ActiveMatrix BPM for business process management to combine human interaction and automatic tasks
  • TIBCO ActiveMatrix BusinessWorks – an Enterprise Service Bus (ESB) – for integration  of applications (SAP, Salesforce, Mainframe, EDI, etc.) and technologies (SOAP Web Services, REST APIs, JMS, TCP, etc.)
  • TIBCO StreamBase for stream processing (fast data processing and streaming analytics)
  • TIBCO Tibbr as social enterprise network for work distribution to occasional users

A huge benefit of the TIBCO stack is that the products are loosely coupled, but integrated. Thus, it is easy to implement iBPMS.

Slides: iBPMS at ECSA 2014

Here are the slides:

You are currently viewing a placeholder content from Default. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.

More Information

Kai Waehner

bridging the gap between technical innovation and business value for real-time data streaming and applied AI.

Recent Posts

Flink CEP and Agentic AI: Real-Time Pattern Detection as the Foundation for Autonomous Decisions

AI agents fail in production when they are connected directly to raw event streams. Flink…

1 week ago

Complex Event Processing (CEP) with Apache Flink: What It Is and When (Not) to Use It

Complex Event Processing is the most underused capability in Apache Flink. It detects meaningful event…

3 weeks ago

MCP vs. REST/HTTP API vs. Kafka: The Architect’s Guide to Agentic AI Integration

MCP, REST/HTTP APIs, and Apache Kafka are not alternatives. They solve different problems at different…

4 weeks ago

Enterprise Agentic AI Landscape 2026: Trust, Flexibility, and Vendor Lock-in

The Enterprise Agentic AI Landscape 2026 maps every major AI vendor across two dimensions that…

4 weeks ago

The Trinity of Modern Data Architecture: Process Intelligence, Event-Driven Integration, and Trusted Agentic AI

Agentic AI without governed processes is fast but ungoverned. Event-driven integration without process intelligence moves…

1 month ago