By FinTech Working Group Members Ganesh Raman & Michael Paull.
Published on DigitalTwinConsortium.org
The introduction of AI will result in a generational shift in the way in which large, complex systems will be managed. This will see existing systems transition from collections of siloed business functions to unified data management platforms. This transition will be driven by AI’s demand for “Always On” data.
Delivering “Always On” data will require the introduction of a new control plane providing “Always On” visibility over the source and destination of data. If the system administration teams cannot easily identify how data is generated, transformed, and consumed, managing the vertical integration of AI into the business and data management processing layers of legacy systems will become an insurmountable challenge.
This is not a system engineering challenge. This is a system observability problem, one that imposes new demands on system reliability, scalability, and performance.
At the Digital Twin Consortium (DTC), we are driving the development of this new control plane to deliver this observability. This is the Process Digital Twin of the live environment, which, in the financial services vertical, we are calling the “FinTwin” of the live system.