Legacy System Transformation

Hybrid Intelligence: A Catalyst for Digital Transformation and Legacy System Replacement


Key advantages of Hybrid Intelligence in the context of digital transformation and legacy system replacement include:

  • Enhanced Data Utilization: Hybrid Intelligence models can leverage both legacy system data and additional data sources, extracting deeper insights.
  • Rule Comparison: The symbolic presentation of rules allows for direct comparison between legacy and Hybrid Intelligence system rules, ensuring transparency.
  • Improved Decision-Making: The new rules generated by Hybrid Intelligence provide richer insights, enhancing the decision-making process.
  • Seamless Integration: Hybrid Intelligence models are designed to integrate smoothly into existing workflows, minimising disruption during the digital transformation process.

Legacy systems, while valuable, often operate within strict, pre-defined parameters, unable to utilise new and dynamic data sources. Digital transformation often involves replacing legacy expert systems with AI to leverage new data and insights and often comes at the cost of discarding the accumulated organisational knowledge embedded in the legacy expert system rules.

Hybrid Intelligence brings a unique approach to this transition, offering enhanced capabilities, transparency, and seamless integration.

Hybrid Intelligence can interrogate a legacy system as part of its model induction process, learning the rules embedded in the legacy system and then enhancing the learning with additional data sources not leveraged by the legacy system. This approach allows Hybrid Intelligence models to extract and utilise insights previously hidden in the data.

Post-training, Hybrid Intelligence models expose their learned rules, presented symbolically. This format allows for a direct comparison between the rules embedded within the legacy system and the new rules generated by the Hybrid Intelligence model.

This comparison provides a practical and verifiable means of establishing fitness-for-purpose of the Hybrid Intelligence model vis a vis the behaviour of the legacy system it is replacing.

Furthermore, because the inherent input and output formats of Hybrid Intelligence models are fully symbolic it is easy to develop input and output views to precisely mimic the legacy system inputs and outputs. This greatly simplifies the integration of the new AI model within the greater legacy system environment.

Contact us if you have an application that could benefit from UMNAI’s technology or if you’d like to learn more about the benefits of Hybrid Intelligence.