HORIZON · CL4 · Data & AI Foundations
AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-in-the-Loop and Coupling of Hybrid Science-Guided and AI Models
SUITE5 is the technical coordinator of AI-DAPT, being the originator of the overall concept. Suite5 leads the activities that have to do with the Data4AI work package, focusing on the delivery of innovative AI and GenAI tools for synthetic Data Generation, for Model Observability and Monitoring and for Adaptive AI Services to optimize the performance of AI pipelines during execution time. Furthermore, Suite5 demonstrates how the AI-DAPT solution can be integrated in commercial AI software, by using the GriffoTM platform as the host infrastructure that will utilize specific AI-DAPT interoperable services.
AI-DAPT aims to deliver an innovative and impactful research agenda that will provide tangible benefits to a variety of stakeholders that struggle with making AI services. Seeking to reinstate the pure data-related work in its rightful place, and reinforcing the generalizability, reliability, trustworthiness, and fairness of Al solutions, AI-DAPT vision relies on the implementation of an AIOps framework to support and automate AI pipelines that continuously learn and adapt based on their context. It enables proper purposing, collection, documentation, (bias) valuation, annotation, curation and synthetic generation of data, while keeping humans-in-the-loop across five axis: (i) Data Design for AI, (ii) Data Nurturing for AI, (iii) Data Generation for AI, (iv) Model Delivery for AI, (v) Data-Model Optimization for AI.
Talk to us about the capabilities behind AI-DAPT — as a research collaboration or a commercial engagement.