Skip to main content

BPEL and BPM Explained

"If you talk to many BPM practitioners, you will find that most assume that BPEL is, or will soon function as, the language of choice for BPM work. BPEL4WS was originally announced in August of 2003 by BEA, IBM, and Microsoft. Their announcement came just as the BPMI.org was about to release the first version of their own alternative BPM language specification, BPML, and the announcement effectively sidelined BPML. Soon after the initial announcement, the originators were joined by many others, including many of the folks that had been working on BPML, and the draft specification of BPEL4WS (now almost universally
know as BPEL) was submitted to OASIS for completion."

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...