Hybrid AI Pipelines
- Fachvortrag
- Künstliche Intelligenz (KI) in der Technischen Kommunikation
-
George Bina
- Syncro Soft / Oxygen XML Editor
Inhalt
The recent evolution of AI enables many interesting processing workflows that were considered before very challenging, if not impossible. However, the AI processing alone is not optimal for solving real world problems. A hybrid processing that mixes AI processing with traditional data processing provides the best approach to tackle various information processing tasks.
XProc is a W3C recommendation, an XML Pipeline language that can orchestrate various workflows just by connecting a set of processing steps, so it is ideal for traditional structured data processing. We experimented with adding an AI processing step that allows to interact with an AI engine, thus enabling hybrid processing that mixes AI and traditional processing of information. We then applied this to some real world use cases proving that this innovative approach of mixing AI and traditional processing in such a simple yet powerful framework is very useful to solve real world problems.
Discover hybrid AI processing, the use-cases we experimented with, how easy it is to define your own workflows and how you can benefit of mixing AI and traditional processing to find solutions to difficult problems.
Das lernen Sie
Hybrid AI processing allows to decompose a complex problem in multiple simpler tasks and these tasks can be orchestrated easily with XProc to split and combine various data flows, and to mix traditional and AI processing steps.
Vorkenntnisse
Awareness of structured content, XML in particular, will be useful, but it is not a hard requirement.